Dan Wang

3.3k citations
95 papers · 2.4k · h-index 26

Impact in

Papers in

    • Influenza Virus Research Studies 41
    • Respiratory viral infections research 25
    • Viral gastroenteritis research and epidemiology 15

Dan Wang

93 papers receiving 2.4k citations

Peers

Dan Wang
Comparison fields: 5 of 113
  • Infectious Diseases 642
  • Agronomy and Crop Science 377
  • Epidemiology 1.1k
  • Animal Science and Zoology 282
  • Virology 110
Replace Man‐Seong Park with:
Man‐Seong Park South Korea
Marcel Beld Netherlands
Ugo Pagnini Italy
Shoujun Li China
Meilin Jin China
Yen‐Hung Chow Taiwan
Suresh V. Kuchipudi United States
Yoshinobu Okuno Japan
Manon Cox United States
Huijun Lu China
Dan Wang relative to Man‐Seong Park South Korea Man‐Seong Park's profile →
Citations per field
00.5×4.1×
Man‐Seong Park · 1×
Citations per year

Countries citing papers authored by Dan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014268
2 2008135
3 2009131
4 201788
5 201786
6 201776
7 201071
8 200965
9 201565
10 201164
11 201958
12 202057
13 201052
14 201351
15 201647
16 202044
17 201541
18 201439
19 201137
20 201236

About Dan Wang

Dan Wang is a scholar working on Epidemiology, Infectious Diseases, Immunology, Molecular Biology and Animal Science and Zoology, having authored 95 papers that have together received 2.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (41 papers), Respiratory viral infections research (25 papers), Viral gastroenteritis research and epidemiology (15 papers), Animal Virus Infections Studies (13 papers), Animal Disease Management and Epidemiology (11 papers), interferon and immune responses (10 papers), Immune Response and Inflammation (9 papers) and Virus-based gene therapy research (9 papers). The work is most often cited by research in Infectious Diseases (642 citations), Agronomy and Crop Science (377 citations), Epidemiology (1.1k citations), Animal Science and Zoology (282 citations) and Virology (110 citations). Dan Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Feng Li, Zizhang Sheng, Runxia Liu, Wuxun Lu, Ben M. Hause, Chithra Sreenivasan, Eric Nelson, Radhey S. Kaushik, Bing Huang and Emily A. Collin. Their work appears in journals such as Viruses, Journal of Virology, Virology, Journal of General Virology and PLoS ONE.

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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