Fei Yan

442 citations
35 papers · 293 · h-index 11

Impact in

Papers in

Fei Yan

32 papers receiving 287 citations

Peers

Fei Yan
Comparison fields: 5 of 100
  • Biological Psychiatry 36
  • Behavioral Neuroscience 30
  • Virology 26
  • Endocrine and Autonomic Systems 20
  • Cellular and Molecular Neuroscience 51
Replace Paul T. Bremer with:
Paul T. Bremer United States
Martin Votava Czechia
Pravin S. Deshmukh India
Éric Destexhe Belgium
Robert Swift United States
Bianca Schmid Germany
Ulrich Niewöhner Germany
Robert L. Bettiker United States
Elaine Reynolds United States
Tara R. deBoer United States
Fei Yan relative to Paul T. Bremer United States Paul T. Bremer's profile →
Citations per field
00.5×1.7×
Paul T. Bremer · 1×
Citations per year

Countries citing papers authored by Fei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Fei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201443
2 202025
3 200522
4 201520
5 202219
6 201515
7 202114
8 202314
9 202012
10 201911
11 202310
12 20229
13 20239
14 20239
15 20159
16 20159
17 20216
18 20245
19 20235
20 20214

About Fei Yan

Fei Yan is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Virology and Epidemiology, having authored 35 papers that have together received 293 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Computational Drug Discovery Methods (4 papers), Rabies epidemiology and control (4 papers), Virology and Viral Diseases (4 papers), Receptor Mechanisms and Signaling (3 papers), Animal Nutrition and Physiology (2 papers), Advanced Battery Technologies Research (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Biological Psychiatry (36 citations), Behavioral Neuroscience (30 citations), Virology (26 citations), Endocrine and Autonomic Systems (20 citations) and Cellular and Molecular Neuroscience (51 citations). Fei Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jian Zhang, Wei Wang, Hasan Al‐Sayegh, Yuexing Liu, Mehrdad Negahban, Paul R. Gooley, Zheng Li, Daniel J. Scott, Gregory W. Moseley and Cuihong Wang. Their work appears in journals such as Poultry Science, Canadian Metallurgical Quarterly, Urban Climate, Neuropeptides and Nature Communications.

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.

Explore authors with similar magnitude of impact