Changjun Wang

1.2k citations
30 papers · 546 · h-index 11

Impact in

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

Papers in

Changjun Wang

28 papers receiving 533 citations

Peers

Changjun Wang
Comparison fields: 5 of 76
  • Infectious Diseases 328
  • Animal Science and Zoology 93
  • Modeling and Simulation 29
  • Virology 23
  • Public Health, Environmental and Occupational Health 122
Replace Joanna Kaczorowska with:
Joanna Kaczorowska Netherlands
Inge Thoelen Belgium
Leshan Xiu China
Hyesun Jang United States
Laura Campitelli Italy
Ramona Trebbien Denmark
Pascal Cherpillod Switzerland
Lidewij Wiersma Netherlands
Krista Queen United States
Quanshui Fan China
Changjun Wang relative to Joanna Kaczorowska Netherlands Joanna Kaczorowska's profile →
Citations per field
00.5×10×14×
Joanna Kaczorowska · 1×
Citations per year

Countries citing papers authored by Changjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018198
2 201750
3 200848
4 200942
5 201929
6 202023
7 202218
8 202218
9 201114
10 202213
11 202210
12 201510
13 200710
14 20189
15 20209
16 20238
17 20228
18 20206
19 20105
20 20214

About Changjun Wang

Changjun Wang is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Virology, Epidemiology and Molecular Biology, having authored 30 papers that have together received 546 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Viral Infections and Vectors (6 papers), COVID-19 Clinical Research Studies (6 papers), Streptococcal Infections and Treatments (3 papers), Rabies epidemiology and control (3 papers), SARS-CoV-2 detection and testing (2 papers), Mosquito-borne diseases and control (2 papers) and Neonatal and Maternal Infections (2 papers). The work is most often cited by research in Infectious Diseases (328 citations), Animal Science and Zoology (93 citations), Modeling and Simulation (29 citations), Virology (23 citations) and Public Health, Environmental and Occupational Health (122 citations). Changjun Wang has collaborated with scholars based in China, United States and Uganda. Frequent co-authors include Youjun Feng, Weilong Tan, Dan Hu, Lele Ai, Lu Yang, Chenxi Ding, Fuqiang Ye, Changqiang Zhu, Jin Zhu and Ting He. Their work appears in journals such as Current Microbiology, Journal of Medical Virology, Microbiology Spectrum, Frontiers in Genetics 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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