Weilong Tan

1.3k citations
56 papers · 769 · h-index 15

Impact in

    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies
    • Animal Virus Infections Studies

Papers in

Weilong Tan

51 papers receiving 760 citations

Peers

Weilong Tan
Comparison fields: 5 of 103
  • Infectious Diseases 420
  • Animal Science and Zoology 120
  • Parasitology 63
  • Modeling and Simulation 34
  • Public Health, Environmental and Occupational Health 124
Replace Lele Ai with:
Lele Ai China
Changqiang Zhu China
Sarah C. Hill United Kingdom
Nikolai A. Nikitin Russia
Yuki Takamatsu Japan
Kyaw Zin Thant Myanmar
Wenwen Lei China
Marcos Lázaro Moreli Brazil
Do-Kyun Kim South Korea
Weilong Tan relative to Lele Ai China Lele Ai's profile →
Citations per field
00.5×
Lele Ai · 1×
Citations per year

Countries citing papers authored by Weilong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Weilong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018192
2 202069
3 201748
4 202244
5 202135
6 201233
7 201729
8 202126
9 202325
10 202222
11 202220
12 202017
13 202216
14 202215
15 202015
16 202212
17 202212
18 202011
19 20238
20 20218

About Weilong Tan

Weilong Tan is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology, Parasitology and Ecology, Evolution, Behavior and Systematics, having authored 56 papers that have together received 769 indexed citations. Recurring topics across this work include Viral Infections and Vectors (21 papers), Mosquito-borne diseases and control (10 papers), Insect Resistance and Genetics (9 papers), Vector-borne infectious diseases (8 papers), Vector-Borne Animal Diseases (8 papers), Viral Infections and Outbreaks Research (7 papers), Animal Virus Infections Studies (5 papers) and Fire effects on ecosystems (4 papers). The work is most often cited by research in Infectious Diseases (420 citations), Animal Science and Zoology (120 citations), Parasitology (63 citations), Modeling and Simulation (34 citations) and Public Health, Environmental and Occupational Health (124 citations). Weilong Tan has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Lele Ai, Changqiang Zhu, Fuqiang Ye, Changjun Wang, Dan Hu, Lu Yang, Youjun Feng, Jin Zhu, Chenxi Ding and Ting He. Their work appears in journals such as Scientific Reports, Frontiers in Cellular and Infection Microbiology, BMC Public Health, Frontiers in Microbiology and Journal of Agricultural and Food Chemistry.

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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