Fei Gan

43 papers receiving 1.4k citations

Peers

Fei Gan
Comparison fields: 5 of 105
  • Renewable Energy, Sustainability and the Environment 380
  • Cellular and Molecular Neuroscience 319
  • Molecular Biology 1.1k
  • Plant Science 470
  • Ecology, Evolution, Behavior and Systematics 238
Replace Daniel P. Canniffe with:
Daniel P. Canniffe United Kingdom
Kentaro Ifuku Japan
Mark Aurel Schöttler Germany
Xiaowei Pan China
Jianfeng Yu China
Robert J. Spreitzer United States
Henning Kirst United States
Frederik Sommer Germany
Ken‐ichi Tomizawa Japan
Severin Sasso Germany
Fei Gan relative to Daniel P. Canniffe United Kingdom Daniel P. Canniffe's profile →
Citations per field
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Daniel P. Canniffe · 1×
Citations per year

Countries citing papers authored by Fei Gan

Since Specialization
Citations

This map shows the geographic impact of Fei Gan'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 Fei Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Gan more than expected).

Fields of papers citing papers by Fei Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei Gan. 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 Fei Gan. The network helps show where Fei Gan may publish in the future.

Co-authors

The 25 scholars most cited alongside Fei Gan, 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 Fei Gan Line = papers co-authored together Fei Gan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014306
2 2015141
3 2014140
4 201577
5 201673
6 200664
7 201658
8 201853
9 201445
10 201838
11 201236
12 201631
13 201226
14 202026
15 201124
16 200923
17 201723
18 202322
19 201722
20 201618

About Fei Gan

Fei Gan is a scholar working on Molecular Biology, Plant Science, Pharmacology, Renewable Energy, Sustainability and the Environment and Ecology, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (9 papers), Light effects on plants (8 papers), Natural Compound Pharmacology Studies (7 papers), Algal biology and biofuel production (7 papers), Landslides and related hazards (6 papers), Synthesis of Organic Compounds (5 papers), Biocrusts and Microbial Ecology (4 papers) and Dam Engineering and Safety (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (380 citations), Cellular and Molecular Neuroscience (319 citations), Molecular Biology (1.1k citations), Plant Science (470 citations) and Ecology, Evolution, Behavior and Systematics (238 citations). Fei Gan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Donald A. Bryant, Gaozhong Shen, J. Clark Lagarias, Nathan C. Rockwell, Shelley S. Martin, Shuyi Zhang, Chi Zhao, Ming‐Yang Ho, Bing Tang and Guangzhong Yang. Their work appears in journals such as Applied and Environmental Microbiology, Photosynthesis Research, RSC Advances, PLoS ONE and Journal of the American Chemical Society.

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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