Wen Wang

6.5k citations
191 papers · 4.3k · h-index 36

Impact in

  • Oncology top 2%
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis
    • Inflammatory Biomarkers in Disease Prognosis
  • Genetics top 2%
    • Mesenchymal stem cell research

Papers in

Wen Wang

184 papers receiving 4.2k citations

Peers

Wen Wang
Comparison fields: 5 of 161
  • Oncology 1.2k
  • Genetics 424
  • Molecular Medicine 131
  • Cancer Research 358
  • Urology 124
Replace Lu Li with:
Lu Li China
Leili Aghebati‐Maleki Iran
Suradej Hongeng Thailand
Li Huang China
Jin Zhang China
Detlef Schuppan Germany
Tao Zhang China
Craig N. Morrell United States
Yong Mao China
Jesse Roman United States
Wen Wang relative to Lu Li China Lu Li's profile →
Citations per field
00.5×1.5×2.5×
Lu Li · 1×
Citations per year

Countries citing papers authored by Wen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000259
2 2021165
3 2021145
4 2013126
5 2000114
6 2023113
7 2016106
8 2012100
9 201697
10 201693
11 200993
12 200990
13 201990
14 202090
15 201487
16 201870
17 199863
18 202263
19 201762
20 202062

About Wen Wang

Wen Wang is a scholar working on Molecular Biology, Oncology, Epidemiology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 191 papers that have together received 4.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (18 papers), Mesenchymal stem cell research (13 papers), Osteoarthritis Treatment and Mechanisms (10 papers), Cancer-related molecular mechanisms research (8 papers), Plant and Fungal Species Descriptions (7 papers), Periodontal Regeneration and Treatments (7 papers), Plant Diversity and Evolution (6 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Oncology (1.2k citations), Genetics (424 citations), Molecular Medicine (131 citations), Cancer Research (358 citations) and Urology (124 citations). Wen Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhengyu Yuan, C J Hackbarth, Joaquim Trias, Richard White, Peter S. Margolis, Dennis C. Young, Wei Cao, Dake Li, Jianfeng Zhou and Hao Yu. Their work appears in journals such as Blood, PLoS ONE, Antimicrobial Agents and Chemotherapy, Scientific Reports and Journal of Visualized Experiments.

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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