Li Ye

6.8k citations
316 papers · 4.5k · h-index 32

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

    • HIV, Drug Use, Sexual Risk 16
    • Autophagy in Disease and Therapy 13
    • HIV/AIDS Research and Interventions 35
    • HIV/AIDS drug development and treatment 19

Li Ye

294 papers receiving 4.4k citations

Peers

Li Ye
Comparison fields: 5 of 178
  • Virology 639
  • Infectious Diseases 851
  • Biological Psychiatry 86
  • Immunology 653
  • Epidemiology 993
Replace Hong Zhang with:
Hong Zhang China
Marcus Lacerda Brazil
Ying Zhang China
David J. Kelvin Canada
Shengqi Wang China
Zhonghua Liu China
Hao Liang China
Wen‐Chun Liu Taiwan
Thomas N. Denny United States
Wei Hou China
Li Ye relative to Hong Zhang China Hong Zhang's profile →
Citations per field
00.5×3.0×
Hong Zhang · 1×
Citations per year

Countries citing papers authored by Li Ye

Since Specialization
Citations

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

Fields of papers citing papers by Li Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 316 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008201
2 2009145
3 2008139
4 2008124
5 201899
6 202299
7 201597
8 201594
9 201092
10 201987
11 201682
12 201278
13 201175
14 201572
15 201071
16 201458
17 201958
18 201653
19 201451
20 201951

About Li Ye

Li Ye is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Virology and Immunology, having authored 316 papers that have together received 4.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (42 papers), HIV/AIDS Research and Interventions (35 papers), HIV/AIDS drug development and treatment (19 papers), HIV, Drug Use, Sexual Risk (16 papers), Autophagy in Disease and Therapy (13 papers), Ferroptosis and cancer prognosis (12 papers), Immune Response and Inflammation (10 papers) and Sex work and related issues (10 papers). The work is most often cited by research in Virology (639 citations), Infectious Diseases (851 citations), Biological Psychiatry (86 citations), Immunology (653 citations) and Epidemiology (993 citations). Li Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hao Liang, Junjun Jiang, Wen‐Zhe Ho, Jiegang Huang, Bingyu Liang, Wen‐Zhe Ho, Lin Zhou, Yu Zhou, Wei Hou and Yanjian Wang. Their work appears in journals such as BMC Infectious Diseases, PLoS ONE, Scientific Reports, AIDS Research and Human Retroviruses and Frontiers in Immunology.

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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