Junzhi Wang

9.0k citations
267 papers · 5.5k · 1 hit paper · h-index 39

Impact in

Papers in

Junzhi Wang

255 papers receiving 5.4k citations

Junzhi Wang's Hit Papers

Extracellular vesicle-based drug overview: research landscape, quality control and nonclinical evaluation strategies 2025 · 55 citations
550Years since publication1020304050

Peers

Junzhi Wang
Comparison fields: 5 of 159
  • Infectious Diseases 1.7k
  • Cardiology and Cardiovascular Medicine 1.4k
  • Agronomy and Crop Science 466
  • Epidemiology 1.3k
  • Immunology 752
Replace Roland Zell with:
Roland Zell Germany
Ying Wu China
Huan-Yao Lei Taiwan
Caroline Tapparel Switzerland
Zhong Huang China
Konstantin Chumakov United States
Shigeru Morikawa Japan
Sylvie Alonso Singapore
Ian M. Jones United Kingdom
Paul Warrener United States
Junzhi Wang relative to Roland Zell Germany Roland Zell's profile →
Citations per field
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Roland Zell · 1×
Citations per year

Countries citing papers authored by Junzhi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junzhi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 267 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012328
2 2016148
3 2014135
4 2014130
5 2013126
6 2015124
7 2022124
8 2017121
9 2021103
10 2012101
11 202299
12 201394
13 201492
14 201691
15 201889
16 201283
17 201278
18 201477
19 202174
20 201374

About Junzhi Wang

Junzhi Wang is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Immunology and Cardiology and Cardiovascular Medicine, having authored 267 papers that have together received 5.5k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (40 papers), Influenza Virus Research Studies (31 papers), Monoclonal and Polyclonal Antibodies Research (28 papers), Viral gastroenteritis research and epidemiology (22 papers), Immunotherapy and Immune Responses (17 papers), Respiratory viral infections research (15 papers), SARS-CoV-2 and COVID-19 Research (15 papers) and Virus-based gene therapy research (14 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Cardiology and Cardiovascular Medicine (1.4k citations), Agronomy and Crop Science (466 citations), Epidemiology (1.3k citations) and Immunology (752 citations). Junzhi Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Zhenglun Liang, Changgui Li, Xiangxi Wang, Zihe Rao, Xuguang Li, Weidong Yin, David I. Stuart, Elizabeth E. Fry, Zhongyu Hu and Qunying Mao. Their work appears in journals such as Vaccine, PLoS ONE, Human Vaccines & Immunotherapeutics, Biologicals and Scientific Reports.

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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