Feifei Gu
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Photoreceptor and optogenetics research
Papers in
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- Photosynthetic Processes and Mechanisms 6
- Peroxisome Proliferator-Activated Receptors 3
- Mitochondrial Function and Pathology 2
- Lipid Membrane Structure and Behavior 1
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- Spectroscopy and Quantum Chemical Studies 6
- Co-authors
- Andrea Catte (5 shared papers)Jere P. Segrest (5 shared papers)Martin K. Jones (5 shared papers)Ling Li (5 shared papers)Kevin Redding (6 shared papers)Chao Cai (2 shared papers)Guangli Yu (2 shared papers)James C. Patterson (4 shared papers)
- Journals
- Biophysical Journal (3 papers)Journal of Biological Chemistry (2 papers)Biochemistry (2 papers)Photochemistry and Photobiology (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Feifei Gu
13 papers receiving 687 citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 120
- Cellular and Molecular Neuroscience 130
- Molecular Biology 479
- Structural Biology 8
- Pharmacology 95
Countries citing papers authored by Feifei Gu
This map shows the geographic impact of Feifei Gu'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 Feifei Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Gu more than expected).
Fields of papers citing papers by Feifei Gu
This network shows the impact of papers produced by Feifei Gu. 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 Feifei Gu. The network helps show where Feifei Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Gu, 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 | 2019 | 158 | |
| 2 | 2006 | 80 | |
| 3 | 2007 | 78 | |
| 4 | 2006 | 67 | |
| 5 | 2009 | 66 | |
| 6 | 2001 | 53 | |
| 7 | 2006 | 36 | |
| 8 | 2009 | 30 | |
| 9 | 2004 | 29 | |
| 10 | 2010 | 29 | |
| 11 | 2018 | 26 | |
| 12 | 2011 | 23 | |
| 13 | 2008 | 17 | |
| 14 | 2016 | 0 |
About Feifei Gu
Feifei Gu is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Organic Chemistry, having authored 14 papers that have together received 692 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (6 papers), Photosynthetic Processes and Mechanisms (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Photoreceptor and optogenetics research (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Mitochondrial Function and Pathology (2 papers), Cholesterol and Lipid Metabolism (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (120 citations), Cellular and Molecular Neuroscience (130 citations), Molecular Biology (479 citations), Structural Biology (8 citations) and Pharmacology (95 citations). Feifei Gu has collaborated with scholars based in United States, France and China. Frequent co-authors include Andrea Catte, Jere P. Segrest, Martin K. Jones, Ling Li, Kevin Redding, Chao Cai, Guangli Yu, James C. Patterson, Jiejie Hao and Jia Li. Their work appears in journals such as Biophysical Journal, Journal of Biological Chemistry, Biochemistry, Photochemistry and Photobiology and International Journal of Biological Macromolecules.
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.