M Ma
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
-
- Glycosylation and Glycoproteins Research 10
- Bone Metabolism and Diseases 4
- Cancer-related gene regulation 4
- Spectroscopy 12
- Mass Spectrometry Techniques and Applications 10
- Advanced Proteomics Techniques and Applications 6
- Co-authors
- Kenji Hashimoto (10 shared papers)Qian Ren (6 shared papers)Chao Dong (6 shared papers)Chun Yang (5 shared papers)Lingjun Li (30 shared papers)Wei Yao (5 shared papers)Yūkō Fujita (2 shared papers)William A. Jefferson (1 shared paper)
- Journals
- Analytical Chemistry (9 papers)Journal of Proteome Research (5 papers)Scientific Reports (3 papers)Proceedings of the National Academy of Sciences (3 papers)Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
M Ma
100 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 136
- Biological Psychiatry 292
- Behavioral Neuroscience 158
- Biochemistry 228
- Molecular Biology 788
- Environmental Chemistry 92
Countries citing papers authored by M Ma
This map shows the geographic impact of M Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Ma more than expected).
Fields of papers citing papers by M Ma
This network shows the impact of papers produced by M Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M Ma. The network helps show where M Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside M Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 178 | |
| 2 | 2011 | 153 | |
| 3 | 2016 | 137 | |
| 4 | 2016 | 135 | |
| 5 | 2018 | 113 | |
| 6 | 2016 | 100 | |
| 7 | 2020 | 74 | |
| 8 | 2016 | 53 | |
| 9 | 2019 | 46 | |
| 10 | 2021 | 42 | |
| 11 | 2021 | 41 | |
| 12 | 2021 | 36 | |
| 13 | 2024 | 36 | |
| 14 | 2016 | 32 | |
| 15 | 2017 | 31 | |
| 16 | 2017 | 27 | |
| 17 | 2013 | 27 | |
| 18 | 2022 | 24 | |
| 19 | 2021 | 24 | |
| 20 | 2015 | 23 |
About M Ma
M Ma is a scholar working on Molecular Biology, Spectroscopy, Cellular and Molecular Neuroscience, Oncology and Genetics, having authored 118 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Mass Spectrometry Techniques and Applications (10 papers), Stress Responses and Cortisol (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Tryptophan and brain disorders (6 papers), Building Energy and Comfort Optimization (5 papers), Bone Metabolism and Diseases (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Biological Psychiatry (292 citations), Behavioral Neuroscience (158 citations), Biochemistry (228 citations), Molecular Biology (788 citations) and Environmental Chemistry (92 citations). M Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kenji Hashimoto, Qian Ren, Chao Dong, Chun Yang, Lingjun Li, Wei Yao, Yūkō Fujita, William A. Jefferson, Ruiping Liu and Huijuan Liu. Their work appears in journals such as Analytical Chemistry, Journal of Proteome Research, Scientific Reports, Proceedings of the National Academy of Sciences and Cancer Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.