Feng Gai
Impact in
- Physical and Theoretical Chemistry top 0.5%
- Photochemistry and Electron Transfer Studies
- Spectroscopy top 0.5%
- Mass Spectrometry Techniques and Applications
Papers in
- Spectroscopy 44
- Mass Spectrometry Techniques and Applications 29
-
- Photochemistry and Electron Transfer Studies 20
- Co-authors
- William F. DeGradoJacob W. PetrichCheng‐Yen HuangMatthew J. TuckerIleana M. PazosMatthias M. WaegeleDeguo DuRobert M. Culik
- Journals
- The Journal of Physical Chemistry B (29 papers)Journal of the American Chemical Society (22 papers)Biochemistry (14 papers)Physical Chemistry Chemical Physics (11 papers)The Journal of Physical Chemistry Letters (10 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Feng Gai
176 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 134
- Physical and Theoretical Chemistry 1.0k
- Spectroscopy 1.6k
- Biophysics 472
- Atomic and Molecular Physics, and Optics 2.2k
- Molecular Biology 4.9k
Countries citing papers authored by Feng Gai
This map shows the geographic impact of Feng Gai'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 Feng Gai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Gai more than expected).
Fields of papers citing papers by Feng Gai
This network shows the impact of papers produced by Feng Gai. 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 Feng Gai. The network helps show where Feng Gai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng Gai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2021 | 9 | |
| 5 | 2020 | 7 | |
| 6 | 2019 | 22 | |
| 7 | 2018 | 18 | |
| 8 | 2018 | 13 | |
| 9 | 2017 | 44 | |
| 10 | 2016 | 16 | |
| 11 | 2013 | 9 | |
| 12 | 2011 | 147 | |
| 13 | 2007 | 23 | |
| 14 | 2007 | 8 | |
| 15 | 2006 | 39 | |
| 16 | Planning of the Classes of GUI Interface System Developed with Java | 2005 | 1 |
| 17 | 2004 | 164 | |
| 18 | 2004 | 180 | |
| 19 | 2003 | 135 | |
| 20 | 2002 | 187 |
About Feng Gai
Feng Gai is a scholar working on Spectroscopy, Physical and Theoretical Chemistry, Biophysics, Molecular Biology and Microbiology, having authored 178 papers that have together received 7.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (77 papers), Enzyme Structure and Function (39 papers), Spectroscopy and Quantum Chemical Studies (38 papers), Mass Spectrometry Techniques and Applications (29 papers), Photoreceptor and optogenetics research (26 papers), Lipid Membrane Structure and Behavior (23 papers), Photochemistry and Electron Transfer Studies (20 papers) and Chemical Synthesis and Analysis (16 papers). The work is most often cited by research in Physical and Theoretical Chemistry (1.0k citations), Spectroscopy (1.6k citations), Biophysics (472 citations), Atomic and Molecular Physics, and Optics (2.2k citations) and Molecular Biology (4.9k citations). Feng Gai has collaborated with scholars based in United States, China and France. Frequent co-authors include William F. DeGrado, Jacob W. Petrich, Cheng‐Yen Huang, Matthew J. Tucker, Ileana M. Pazos, Matthias M. Waegele, Deguo Du, Robert M. Culik, Zelleka Getahun and Pramit K. Chowdhury. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of the American Chemical Society, Biochemistry, Physical Chemistry Chemical Physics and The Journal of Physical Chemistry Letters.
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.