Here we introduce confirmed examples of Mass++ utilization.

Citations of Mass++ paper

Currently, the following paper is published for Mass++; the Impact Factor is cited from the Journal Citation Report.

Tanaka, S.(*), Fujita, Y., Parry, H.E., Yoshizawa, A.C., Morimoto, K., Murase, M., Yamada, Y., Yao, J., Utsunomiya, S., Kajihara, S., Fukuda, M., Ikawa, M., Tabata, T., Takahashi, K., Aoshima, K., Nihei, Y., Nishioka, T., Oda, Y., and Tanaka, K.

Mass++: A visualization and analysis tool for mass spectrometry
Journal of Proteome Research, 13: 3846–3853 (2014)
[PMID: 24965016] [doi: 10.1021/pr500155z] (Impact factor(’13): 5.001)

Papers cited this paper are as follows (continuously-updated):

(Added on Oct. 16, 2021)(Examined on July 13, 2018)

  1. Misra, B.B.
    Open-Source Software Tools, Databases, and Resources for Single-Cell and Single-Cell-Type Metabolomics
    Single Cell Metabolism, Methods in Molecular Biology, 2064: 191-217 (2020)
    [PMID: 31565776] [doi: 10.1007/978-1-4939-9831-9_15] (No Impact factor indexed)
  2. Reiter, J., Hubbers, A.M., Albrecht, F., Leichert, L.I.O., Slusarenko, A.J.
    Allicin, a natural antimicrobial defence substance from garlic, inhibits DNA gyrase activity in bacteria
    International Journal of Medical Microbiology, 310: 151359 (2020)
    [PMID: 31585716] [doi: 10.1016/j.ijmm.2019.151359] (Impact factor(’19): 3.113)
  3. Kumar, D., Thakur, K., Sharma, S., Kumar, S.
    NMR for metabolomics studies of Crataegus rhipidophylla Gand
    Analytical and Bioanalytical Chemistry, 411: 2149-2159 (2019)
    [PMID: 30848317] [doi: 10.1007/s00216-019-01646-z] (Impact factor(’18): 3.286)
  4. Latorre, N., Castaneda, F., Meynard, A., Rivas, J., Contreras-Porcia, L.
    First approach of characterization of bioactive compound in Pyropia orbicularis during the daily tidal cycle
    Latin American Journal of Aquatic Research, 47: 826-840 (2019)
    [doi: 10.3856/vol47-issue5-fulltext-12] (Impact factor(’18): 0.670)
  5. Masuo, Y., Ohba, Y., Yamada, K., Al-Shammari, A.H., Seba, N., Nakamichi, N., Ogihara, T., Kunishima, M., Kato, Y.
    Combination Metabolomics Approach for Identifying Endogenous Substrates of Carnitine/Organic Cation Transporter OCTN1
    Pharmaceutical Research, 35: 224 (2018)
    [PMID: 30280275] [doi: 10.1007/s11095-018-2507-1] (Impact factor(’17): 3.335)
  6. Harvey, D.J.
    Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2013-2014
    Mass Spectrometry Review, 37: 353-491 (2018)
    [PMID: 29687922] [doi: 10.1002/mas.21530] (Impact factor(’17): 9.526)
  7. Kind, T., Tsugawa, H., Cajka, T., Ma, Y., Lai, Z.J., Mehta, S.S., Wohlgemuth, G., Barupal, D.K., Showalter, M.R., Arita, M., Fiehn, O.
    Identification of small molecules using accurate mass MS/MS search
    Mass Spectrometry Review, 37: 513–532 (2018)
    [PMID: 28436590] [doi: 10.1002/mas.21535] (Impact factor(’17): 9.526)
  8. Luo, Y., Javed, M.A., Deneer, H., Chen, X.
    Nutrient depletion-induced production of tri-acylated glycerophospholipids in Acinetobacter radioresistens
    Scientific Reports, 8: 7470 (2018)
    [PMID: 29748546] [doi: 10.1038/s41598-018-25869-9] (Impact factor(’17): 4.122)
  9. Sato, K., Yamashita, T., Ohuchi, H., Takeuchi, A., Gotoh, H., Ono, K., Mizuno, M., Mizutani, Y., Tomonari, S., Sakai, K., Imamoto, Y., Wada, A., Shichida, Y.
    Opn5L1 is a retinal receptor that behaves as a reverse and self-regenerating photoreceptor
    Nature Communications, 9: 1255 (2018)
    [PMID: 29593298] [doi: 10.1038/s41467-018-03603-3] (Impact Factor(’17): 12.353)
  10. Nakamura, A., Kaneko, N., Villemagne, V.L., Kato, T., Doecke, J., Dore, V., Fowler, C., Li, Q.X., Martins, R., Rowe, C., Tomita, T., Matsuzaki, K., Ishii, K., Ishii, K, Arahata, Y, Iwamoto, S., Ito, K., Tanaka, K., Masters, C.L., Yanagisawa, K.
    High performance plasma amyloid-β biomarkers for Alzheimer’s disease
    Nature, 554: 249-254 (2018)
    [PMID: 29420472] [doi: 10.1038/nature25456] (Impact factor(’17): 41.577)
  11. Luo, Y., Javed, M.A., Deneer, H.
    Comparative study on nutrient depletion-induced lipidome adaptations in Staphylococcus haemolyticus and Staphylococcus epidermidis
    Scientific Reports, 8:2356 (2018)
    [PMID: 29402937] [doi: 10.1038/s41598-018-20801-7] (Impact factor(’17): 4.122)
  12. Ficarro, S.B., Alexander, W.M., Marto, J.A.
    mzStudio: A Dynamic Digital Canvas for User-Driven Interrogation of Mass Spectrometry Data
    Proteomes, 5: E20 (2017)
    [PMID: 28763045] [doi: 10.3390/proteomes5030020] (No Impact factor indexed)
  13. Segundo, U.,Aldamiz-Echevarria, L., Lopez-Cuadrado, J., Buenestado, D., Andrade, F., Perez, T.A., Barrena, R., Perez-Yarza, E.G., Pikatza, J.M.
    Improvement of newborn screening using a fuzzy inference system
    Expert Systems with Applications, 78: 301-318 (2017)
    [doi: 10.1016/j.eswa.2017.02.022] (Impact factor(’16): 3.928)
  14. Hu, H., Khatri, K., Zaia, J.
    Algorithms and design strategies towards automated glycoproteomics analysis
    Mass Spectrometry Reviews, 36: 475-498 (2017)
    [PMID: 26728195] [doi: 10.1002/mas.21487] (Impact factor(’16): 9.373)
  15. Perez de Souza, L., Naake, T., Tohge, T., Fernie, A.R.
    From chromatogram to analyte to metabolite. How to pick horses for courses from the massive web resources for mass spectral plant metabolomics
    GigaScience, 6:1-20 (2017)
    [PMID: 28520864] [doi: 10.1093/gigascience/gix037] (Impact factor(’16): 6.871)
  16. Rai, A., Saito, K., Yamazaki, M.
    Integrated omics analysis of specialized metabolism in medicinal plants
    Plant Journal, 90:764-787 (2017)
    [PMID: 28109168] [doi: 10.1111/tpj.13485] (Impact factor(’16): 5.901)
  17. Roushangar, R., Mias, G.I.
    MathIOmica-MSViewer: a dynamic viewer for mass spectrometry files for Mathematica
    Journal of Mass Spectrometry, 52:315-318 (2017)
    [PMID: 28299837] [doi: 10.1002/jms.3928] (Impact factor(’16): 2.381)
  18. Sarpe, V., Schriemer, D.C.
    Supporting metabolomics with adaptable software: design architectures for the end-user
    Current Opinion in Biotechnology, 43:110-117 (2017)
    [PMID: 27870998] [doi: 10.1016/j.copbio.2016.11.001] (Impact factor(’16): 9.294)
  19. Atila, M., Katselis, G., Chumala, P., Luo, Y.
    Characterization of N-Succinylation of L-Lysylphosphatidylglycerol in Bacillus subtilis Using Tandem Mass Spectrometry
    Journal of The American Society for Mass Spectrometry, 27:1606-1613 (2016)
    [PMID: 27506207] [doi: 10.1007/s13361-016-1455-4] (Impact factor(’15): 3.031)
  20. Avtonomov, D.M., Raskind, A., Nesvizhskii, A.I.
    BatMass: a Java Software Platform for LC-MS Data Visualization in Proteomics and Metabolomics
    Journal of Proteome Research, 15:2500-2509 (2016)
    [PMID: 27306858] [doi: 10.1021/acs.jproteome.6b00021] (Impact factor(’15): 4.173)
  21. Misra, B.B., van der Hooft, J.J.
    Updates in metabolomics tools and resources: 2014-2015
    Electrophoresis, 37:86-110 (2016)
    [PMID: 26464019] [doi: 10.1002/elps.201500417] (Impact factor(’15): 2.482)
  22. Kasuga, K., Suga, T., Mano, N.
    Bioanalytical insights into mediator lipidomics
    Journal of Pharmaceutical and Biomedical Analysis, 113:151-62 (2015)
    [PMID: 25769667] [doi: 10.1016/j.jpba.2015.02.011] (Impact factor(’14): 2.979)
  23. Morimoto, K., Nishikaze, T., Yoshizawa, A.C., Kajihara, S., Aoshima, K., Oda, Y., and Tanaka, K.
    GlycanAnalysis Plug-in: A database search tool for N-glycan structure using mass spectrometry
    Bioinformatics, 31: 2217-2219 (2015)
    [PMID: 25712693] [doi: 10.1093/bioinformatics/btv110] (Impact factor(’14): 4.981)
  24. Suabjakyong, P., Saiki, R., Van Griensven, L.J., Higashi, K., Nishimura, K., Igarashi, K., Toida, T.
    Polyphenol extract from Phellinus igniarius protects against acrolein toxicity in vitro and provides protection in a mouse stroke model
    PLoS One, 10: e0122733 (2015)
    [PMID: 25811373] [doi: 10.1371/journal.pone.0122733] (Impact factor(’14): 3.234)
  25. Johnson, S.R., Lange, B.M.
    Open-access metabolomics databases for natural product research: present capabilities and future potential
    Frontiers in Bioengineering and Biotechnology, 3: 22 (2015)
    [PMID: 25789275] [doi: 10.3389/fbioe.2015.00022] (Impact factor(’14): no Impact Factor indexed; IF(’20): 5.890)
  26. Yoshizawa, A.C., Fukuyama, Y., Kajihara, S., Kuyama, H., and Tanaka, K.
    Computational Survey of Sequence Specificity for Protein Terminal Tags Covering Nine Organisms and Its Application to Protein Identification
    Journal of Proteome Research, 14 (2): 756-767 (2015)
    [PMID: 25393771] [doi: 10.1021/pr500793h] ((’14): 4.245)
  27. Aoshima, K., Takahashi, K., Ikawa, M., Kimura, T., Fukuda, M., Tanaka, S.,  Parry, H.E., Fujita, Y., Yoshizawa, A.C., Utsunomiya, S., Kajihara, S., Tanaka, K., and Oda, Y.
    A simple peak detection and label-free quantitation algorithm for chromatography-mass spectrometry
    BMC Bioinformatics, 15: 376 (2014)
    [PMID: 25420746] [doi: 10.1186/s12859-014-0376-0] (Impact factor(’13): 2.672)
  28. Yao, J., Utsunomiya, S., Kajihara, S., Tabata, T., Aoshima, K., Oda,Y., and Tanaka, K.
    Peptide Peak Detection for Low Resolution MALDI-TOF Mass Spectrometry
    Mass Spectrometry, 3: A0030 (2014)
    [doi: 10.5702/massspectrometry.A0030] (No Impact factor indexed)