Jiaming Lan

1.1k citations
37 papers · 576 · h-index 13

Impact in

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

Papers in

    • SARS-CoV-2 and COVID-19 Research 18
    • Viral gastroenteritis research and epidemiology 11
    • COVID-19 Clinical Research Studies 8
    • Viral Infections and Vectors 6
    • Viral Infections and Outbreaks Research 4
    • Animal Virus Infections Studies 10

Jiaming Lan

34 papers receiving 566 citations

Peers

Jiaming Lan
Comparison fields: 5 of 62
  • Infectious Diseases 464
  • Animal Science and Zoology 187
  • Modeling and Simulation 34
  • Health 36
  • Immunology 69
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Citations per field
00.5×5.2×
Meagan Bolles · 1×
Citations per year

Countries citing papers authored by Jiaming Lan

Since Specialization
Citations

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

Fields of papers citing papers by Jiaming Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201591
2 201588
3 201467
4 202047
5 201839
6 201638
7 201724
8 201422
9 202020
10 201617
11 201115
12 202513
13 201912
14 201611
15 202310
16 202310
17 20239
18 20227
19 20236
20 20235

About Jiaming Lan

Jiaming Lan is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Organic Chemistry and Molecular Biology, having authored 37 papers that have together received 576 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (18 papers), Viral gastroenteritis research and epidemiology (11 papers), Animal Virus Infections Studies (10 papers), COVID-19 Clinical Research Studies (8 papers), Viral Infections and Vectors (6 papers), Respiratory viral infections research (5 papers), Cyclization and Aryne Chemistry (4 papers) and Viral Infections and Outbreaks Research (4 papers). The work is most often cited by research in Infectious Diseases (464 citations), Animal Science and Zoology (187 citations), Modeling and Simulation (34 citations), Health (36 citations) and Immunology (69 citations). Jiaming Lan has collaborated with scholars based in China, France and Canada. Frequent co-authors include Yao Deng, Wenjie Tan, George F. Gao, Zhuozhuang Lu, Hong Chen, Yanfeng Yao, Gary Wong, Guangwen Lu, Chuan Qin and Linlin Bao. Their work appears in journals such as Emerging Microbes & Infections, Biosafety and Health, EBioMedicine, Acta Pharmaceutica Sinica B and Molecular Therapy.

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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