Wenge Tang

1.6k citations
70 papers · 1.0k · h-index 17

Impact in

Papers in

Wenge Tang

64 papers receiving 1.0k citations

Peers

Wenge Tang
Comparison fields: 5 of 119
  • Health, Toxicology and Mutagenesis 196
  • Modeling and Simulation 47
  • Virology 36
  • Endocrinology, Diabetes and Metabolism 110
  • Infectious Diseases 113
Replace Silvana Castaldi with:
Silvana Castaldi Italy
Fabio Tramuto Italy
Lauren Lindblad United States
Kristina W. Kintziger United States
Víctor M. Cárdenas United States
Shahjada Selim Bangladesh
Masayuki Kakehashi Japan
Mausumi Basu India
André Reynaldo Santos Périssé Brazil
Wenge Tang relative to Silvana Castaldi Italy Silvana Castaldi's profile →
Citations per field
00.5×7.3×
Silvana Castaldi · 1×
Citations per year

Countries citing papers authored by Wenge Tang

Since Specialization
Citations

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

Fields of papers citing papers by Wenge Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020147
2 2015100
3 201599
4 201460
5 201845
6 202142
7 202336
8 201033
9 201631
10 202026
11 201824
12 202122
13 201522
14 202021
15 202120
16 201716
17 201916
18 201915
19 201115
20 201914

About Wenge Tang

Wenge Tang is a scholar working on Epidemiology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis and Public Health, Environmental and Occupational Health, having authored 70 papers that have together received 1.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Viral gastroenteritis research and epidemiology (6 papers), Viral Infections and Immunology Research (6 papers), Gout, Hyperuricemia, Uric Acid (4 papers), Air Quality and Health Impacts (4 papers), Climate Change and Health Impacts (4 papers), Rabies epidemiology and control (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (196 citations), Modeling and Simulation (47 citations), Virology (36 citations), Endocrinology, Diabetes and Metabolism (110 citations) and Infectious Diseases (113 citations). Wenge Tang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Qi Li, Xianbin Ding, Deqiang Mao, Xing Zhao, Qin Li, Hongyan Xiong, Na Wu, Yulin Wang, Qin Liu and Feng Hong. Their work appears in journals such as PLoS ONE, BMC Public Health, International Journal of Environmental Research and Public Health, Human Vaccines & Immunotherapeutics and BMC Infectious Diseases.

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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