Feifei Gu

871 citations
15 papers · 761 · h-index 13

Impact in

Papers in

Feifei Gu

14 papers receiving 756 citations

Peers

Feifei Gu
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 160
  • Endocrinology, Diabetes and Metabolism 119
  • Molecular Biology 524
  • Pharmacology 104
  • Atomic and Molecular Physics, and Optics 177
Replace Atsunobu Yoda with:
Atsunobu Yoda United States
Denis Daveloose France
Sonia Freire Brazil
Xiya Lu China
Graham A. Showell United States
Hilmar Schiller Switzerland
F. A. Vandenheuvel Tanzania
William E. Momsen United States
Jason P. Schwans United States
Larry M. Mallis United States
Feifei Gu relative to Atsunobu Yoda United States Atsunobu Yoda's profile →
Citations per field
00.5×5×10×15×21.5×
Atsunobu Yoda · 1×
Citations per year

Countries citing papers authored by Feifei Gu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Feifei Gu Line = papers co-authored together Feifei Gu links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2019173
2 200683
3 200681
4 200780
5 200968
6 200165
7 200640
8 200437
9 200932
10 201031
11 201828
12 201123
13 200819
14 20011
15 20160

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 15 papers that have together received 761 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (7 papers), Photosynthetic Processes and Mechanisms (7 papers), Photoreceptor and optogenetics research (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Mitochondrial Function and Pathology (2 papers), Echinoderm biology and ecology (1 paper) and Biocrusts and Microbial Ecology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (160 citations), Endocrinology, Diabetes and Metabolism (119 citations), Molecular Biology (524 citations), Pharmacology (104 citations) and Atomic and Molecular Physics, and Optics (177 citations). Feifei Gu has collaborated with scholars based in United States, France and China. Frequent co-authors include Kevin Redding, Andrea Catte, Martin K. Jones, Ling Li, Jere P. Segrest, Guangli Yu, Chao Cai, Jiejie Hao, James C. Patterson and Jia Li. Their work appears in journals such as Biophysical Journal, Biochemistry, Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Bioenergetics and Optik.

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.

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