Chenhui Wang

4.5k citations
13 papers · 2.4k · 2 hit papers · h-index 8

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 1%
    • Long-Term Effects of COVID-19

Papers in

Chenhui Wang

12 papers receiving 2.3k citations

Chenhui Wang's Hit Papers

Human kidney is a target for novel severe acute respiratory syndrome coronavirus 2 infection 2021 · 350 citations
3500+2+4Years since publication50010001.5k

Peers

Chenhui Wang
Comparison fields: 5 of 115
  • Infectious Diseases 1.6k
  • Neurology 771
  • Biological Psychiatry 41
  • Immunology 331
  • Obstetrics and Gynecology 109
Replace Zilin Yuan with:
Zilin Yuan China
Yingjun Tan China
Zeqing Feng China
Bo Diao China
Zhao Wu China
Dilek Azkur Türkiye
Fengchun Zhang China
Baoguang Hu China
Marijn Berg Netherlands
Chenhui Wang relative to Zilin Yuan China Zilin Yuan's profile →
Citations per field
00.5×1.5×
Zilin Yuan · 1×
Citations per year

Countries citing papers authored by Chenhui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chenhui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Reduction and Functional Exhaustion of T Cells in Patients With Coronavirus Disease 2019 (COVID-19)
Hit paper breakdown →
20201740
2
Human kidney is a target for novel severe acute respiratory syndrome coronavirus 2 infection
Hit paper breakdown →
2021350
3 2020105
4 202161
5 201954
6 202039
7 202414
8 20219
9 20235
10 20185
11 20233
12 20231
13 20250

About Chenhui Wang

Chenhui Wang is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Epidemiology and Surgery, having authored 13 papers that have together received 2.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers), Hepatitis B Virus Studies (2 papers), Inflammasome and immune disorders (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Dermatological and COVID-19 studies (1 paper) and Plant Disease Resistance and Genetics (1 paper). The work is most often cited by research in Infectious Diseases (1.6k citations), Neurology (771 citations), Biological Psychiatry (41 citations), Immunology (331 citations) and Obstetrics and Gynecology (109 citations). Chenhui Wang has collaborated with scholars based in China and United States. Frequent co-authors include Yongwen Chen, Zeqing Feng, Bo Diao, Yueping Liu, Yingjun Tan, Zilin Yuan, Yuzhang Wu, Li Chen, Min Li and Xiewan Chen. Their work appears in journals such as Frontiers in Immunology, Nature Communications, Biochemical and Biophysical Research Communications, Clinical Infectious Diseases and Hepatology.

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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