He Yan

759 citations
38 papers · 483 · h-index 14

Impact in

Papers in

He Yan

37 papers receiving 473 citations

Peers

He Yan
Comparison fields: 5 of 45
  • Public Health, Environmental and Occupational Health 437
  • Parasitology 69
  • Computational Theory and Mathematics 58
  • Infectious Diseases 43
  • Pharmacology 10
Replace Jureeporn Duanguppama with:
Jureeporn Duanguppama United Kingdom
Rashid A. Madebe Tanzania
Badria El-Sayed Sudan
Selam Mihreteab Eritrea
Ishraga Eltayeb M. A-Elbasit Sudan
Prajesh K. Tyagi India
Dennis W. Juma Kenya
Moe Kyaw Myint South Korea
Lilly Keereecharoen Thailand
Sri Suprianto Indonesia
He Yan relative to Jureeporn Duanguppama United Kingdom Jureeporn Duanguppama's profile →
Citations per field
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Jureeporn Duanguppama · 1×
Citations per year

Countries citing papers authored by He Yan

Since Specialization
Citations

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

Fields of papers citing papers by He Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201539
2 201538
3 201433
4 201532
5 201932
6 201426
7 202024
8 201123
9 202219
10 201917
11 202017
12 201515
13 202314
14 202114
15 202213
16 201912
17 201410
18 20219
19 20189
20 20209

About He Yan

He Yan is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Computational Theory and Mathematics, Infectious Diseases and Hepatology, having authored 38 papers that have together received 483 indexed citations. Recurring topics across this work include Malaria Research and Control (33 papers), Mosquito-borne diseases and control (15 papers), Computational Drug Discovery Methods (5 papers), Vector-borne infectious diseases (5 papers), HIV/AIDS drug development and treatment (4 papers), Research on Leishmaniasis Studies (4 papers), Hepatitis C virus research (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (437 citations), Parasitology (69 citations), Computational Theory and Mathematics (58 citations), Infectious Diseases (43 citations) and Pharmacology (10 citations). He Yan has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Zhigui Xia, Jun Feng, Xinyu Feng, Shuisen Zhou, Jianhai Yin, Li Mei, Fang Jiong Huang, Jun Li, Hui-Hui Xiao and Li Zhang. Their work appears in journals such as Malaria Journal, Antimicrobial Agents and Chemotherapy, China CDC Weekly, Frontiers in Cellular and Infection Microbiology and Frontiers of Medicine.

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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