Yifei Li

844 citations
35 papers · 603 · h-index 14

Impact in

Papers in

Yifei Li

30 papers receiving 600 citations

Peers

Yifei Li
Comparison fields: 5 of 109
  • Pollution 101
  • Behavioral Neuroscience 22
  • Biological Psychiatry 14
  • Industrial and Manufacturing Engineering 47
  • Cellular and Molecular Neuroscience 94
Replace Kristen L. Dennis with:
Kristen L. Dennis United States
Xiaolin Ma China
Xuelian Wang China
Eric R. Hugo United States
Ying Ren China
Radwa Barakat United States
Meng Ni China
Tim Smith United Kingdom
А. М. Косырева Russia
Yifei Li relative to Kristen L. Dennis United States Kristen L. Dennis's profile →
Citations per field
00.5×10×15×17.5×
Kristen L. Dennis · 1×
Citations per year

Countries citing papers authored by Yifei Li

Since Specialization
Citations

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

Fields of papers citing papers by Yifei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yifei Li, 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 Yifei Li Line = papers co-authored together Yifei Li 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 201991
2 202375
3 201654
4 200743
5 201938
6 202338
7 201931
8 202128
9 201725
10 202223
11 201722
12 201620
13 202416
14 202416
15 202213
16 202310
17 20249
18 20219
19 20247
20 20237

About Yifei Li

Yifei Li is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Behavioral Neuroscience and Infectious Diseases, having authored 35 papers that have together received 603 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Stress Responses and Cortisol (5 papers), Cerebrospinal fluid and hydrocephalus (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Wastewater Treatment and Nitrogen Removal (3 papers), Animal Virus Infections Studies (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Pollution (101 citations), Behavioral Neuroscience (22 citations), Biological Psychiatry (14 citations), Industrial and Manufacturing Engineering (47 citations) and Cellular and Molecular Neuroscience (94 citations). Yifei Li has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Guibing Zhu, Charlie Xiang, Xin Wang, Yichen Wu, Huahai Chen, Yeshi Yin, Xin Chen, Yanling Wang, Shanyun Wang and Min Lou. Their work appears in journals such as Neuropsychopharmacology, BMC Psychiatry, American Journal of Neuroradiology, Virus Research and Insect Molecular Biology.

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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