Lingen Shi

479 citations
31 papers · 318 · h-index 9

Impact in

    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • HIV/AIDS Research and Interventions 19
    • HIV/AIDS drug development and treatment 6
    • HIV, Drug Use, Sexual Risk 12
    • Hepatitis B Virus Studies 2

Lingen Shi

31 papers receiving 314 citations

Peers

Lingen Shi
Comparison fields: 5 of 33
  • Infectious Diseases 212
  • Virology 52
  • Epidemiology 102
  • Microbiology 12
  • Health 12
Replace Hanne M. L. Zimmermann with:
Hanne M. L. Zimmermann Netherlands
Justin Harbottle United Kingdom
Cheewanan Lertpiriyasuwat Thailand
James MacGibbon Australia
Zhigang Han China
Roel Achterbergh Netherlands
Dong Xiao China
Michael Johnson United States
Caroline Carnevale United States
Lingen Shi relative to Hanne M. L. Zimmermann Netherlands Hanne M. L. Zimmermann's profile →
Citations per field
00.5×10×15×18×
Hanne M. L. Zimmermann · 1×
Citations per year

Countries citing papers authored by Lingen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Lingen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 201444
3 202135
4 201713
5 201613
6 201512
7 202011
8 202210
9 20228
10 20228
11 20238
12 20228
13 20227
14 20227
15 20217
16 20227
17 20237
18 20177
19 20226
20 20235

About Lingen Shi

Lingen Shi is a scholar working on Infectious Diseases, Epidemiology, Sociology and Political Science, Virology and General Health Professions, having authored 31 papers that have together received 318 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (19 papers), HIV, Drug Use, Sexual Risk (12 papers), HIV/AIDS drug development and treatment (6 papers), Sex work and related issues (5 papers), HIV Research and Treatment (4 papers), Adolescent Sexual and Reproductive Health (3 papers), Reproductive tract infections research (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Infectious Diseases (212 citations), Virology (52 citations), Epidemiology (102 citations), Microbiology (12 citations) and Health (12 citations). Lingen Shi has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Hongjing Yan, Chongyi Wei, H. Fisher Raymond, Jianjun Li, Gengfeng Fu, Xiping Huan, Doug H. Cheung, Tao Qiu, Xiaoyan Liu and Yuheng Chen. Their work appears in journals such as Frontiers in Public Health, AIDS and Behavior, PLoS ONE, Emerging Microbes & Infections and BioMed Research International.

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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