Fei Gan

45 papers receiving 1.5k citations

Peers

Fei Gan
Comparison fields: 5 of 107
  • Renewable Energy, Sustainability and the Environment 435
  • Cellular and Molecular Neuroscience 354
  • Molecular Biology 1.1k
  • Plant Science 516
  • Ecology, Evolution, Behavior and Systematics 256
Replace Daniel P. Canniffe with:
Daniel P. Canniffe United Kingdom
Mark Aurel Schöttler Germany
Kentaro Ifuku Japan
Jianfeng Yu China
Frederik Sommer Germany
Xiaowei Pan China
Robert J. Spreitzer United States
Marion Eisenhut Germany
Severin Sasso Germany
Stefano Cazzaniga Italy
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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014336
2 2014162
3 2015161
4 201584
5 201682
6 201668
7 200666
8 201856
9 201448
10 201839
11 201237
12 201632
13 201229
14 202027
15 201724
16 201124
17 200923
18 202323
19 201722
20 201620

About Fei Gan

Fei Gan is a scholar working on Molecular Biology, Plant Science, Pharmacology, Management, Monitoring, Policy and Law and Renewable Energy, Sustainability and the Environment, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (9 papers), Light effects on plants (8 papers), Landslides and related hazards (7 papers), Algal biology and biofuel production (7 papers), Natural Compound Pharmacology Studies (7 papers), Synthesis of Organic Compounds (5 papers), Dam Engineering and Safety (5 papers) and Biocrusts and Microbial Ecology (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (435 citations), Cellular and Molecular Neuroscience (354 citations), Molecular Biology (1.1k citations), Plant Science (516 citations) and Ecology, Evolution, Behavior and Systematics (256 citations). Fei Gan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Donald A. Bryant, Gaozhong Shen, Shelley S. Martin, J. Clark Lagarias, Nathan C. Rockwell, 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, Environmental Earth Sciences, RSC Advances and PLoS ONE.

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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