Fengfei Ma
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Glycosylation and Glycoproteins Research 3
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- Mass Spectrometry Techniques and Applications 5
- Advanced Proteomics Techniques and Applications 4
- Analytical Chemistry and Chromatography 3
- Co-authors
- Lingjun Li (15 shared papers)Wei‐Zen Chen (1 shared paper)Jon S. Odorico (4 shared papers)Daniel M. Tremmel (4 shared papers)Sara Dutton Sackett (4 shared papers)Wei Xu (4 shared papers)Fabao Liu (4 shared papers)Ling Hao (4 shared papers)
- Journals
- Analytical Chemistry (5 papers)ACS Chemical Neuroscience (2 papers)Nature Communications (2 papers)Journal of Proteome Research (2 papers)Journal of the American Society for Mass Spectrometry (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Fengfei Ma
26 papers receiving 944 citations
Peers
Comparison fields: 5 of 108
- Biomaterials 139
- Cancer Research 132
- Spectroscopy 136
- Molecular Biology 435
- Surgery 221
Countries citing papers authored by Fengfei Ma
This map shows the geographic impact of Fengfei 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 Fengfei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengfei Ma more than expected).
Fields of papers citing papers by Fengfei Ma
This network shows the impact of papers produced by Fengfei 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 Fengfei Ma. The network helps show where Fengfei Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengfei 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 232 | |
| 2 | 2018 | 207 | |
| 3 | 2007 | 130 | |
| 4 | 2021 | 40 | |
| 5 | 2019 | 34 | |
| 6 | 2021 | 32 | |
| 7 | 2017 | 32 | |
| 8 | 2019 | 32 | |
| 9 | 2020 | 30 | |
| 10 | 2019 | 29 | |
| 11 | 2021 | 22 | |
| 12 | 2012 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2019 | 17 | |
| 15 | 2018 | 15 | |
| 16 | 2018 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 1996 | 10 | |
| 19 | 2023 | 8 | |
| 20 | 2022 | 8 |
About Fengfei Ma
Fengfei Ma is a scholar working on Molecular Biology, Spectroscopy, Radiology, Nuclear Medicine and Imaging, Oncology and Surgery, having authored 28 papers that have together received 957 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Pancreatic function and diabetes (3 papers), Analytical Chemistry and Chromatography (3 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Biomaterials (139 citations), Cancer Research (132 citations), Spectroscopy (136 citations), Molecular Biology (435 citations) and Surgery (221 citations). Fengfei Ma has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Lingjun Li, Wei‐Zen Chen, Jon S. Odorico, Daniel M. Tremmel, Sara Dutton Sackett, Wei Xu, Fabao Liu, Ling Hao, Austin K. Feeney and Chenxi Jia. Their work appears in journals such as Analytical Chemistry, ACS Chemical Neuroscience, Nature Communications, Journal of Proteome Research and Journal of the American Society for Mass Spectrometry.
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.