Wei Wang

20.2k citations
403 papers · 10.5k · 2 hit papers · h-index 50

Impact in

Papers in

Wei Wang

385 papers receiving 10.4k citations

Wei Wang's Hit Papers

Epidemiological trends of maternal hypertensive disorders of pregnancy at the global, regional, and national levels: a population‐based study 2021 · 193 citations
1930+3+7Years since publication100200300400

Peers

Wei Wang
Comparison fields: 5 of 162
  • Cancer Research 2.2k
  • Obstetrics and Gynecology 927
  • Immunology 2.2k
  • Oncology 2.7k
  • Immunology and Allergy 441
Replace Ulf‐Håkan Stenman with:
Ulf‐Håkan Stenman Finland
Lucio Miele United States
Andrew K. Godwin United States
William C. Aird United States
Isao Okayasu Japan
Hong Zhang China
András Falus Hungary
Peeyush K. Lala Canada
Giorgio Zauli Italy
Bernd Arnold Germany
Wei Wang relative to Ulf‐Håkan Stenman Finland Ulf‐Håkan Stenman's profile →
Citations per field
00.5×4.3×
Ulf‐Håkan Stenman · 1×
Citations per year

Countries citing papers authored by Wei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 403 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NK cell-mediated antibody-dependent cellular cytotoxicity in cancer immunotherapy
Hit paper breakdown →
2015418
2 1998337
3 2011269
4 2013260
5 2012243
6 2009196
7
Epidemiological trends of maternal hypertensive disorders of pregnancy at the global, regional, and national levels: a population‐based study
Hit paper breakdown →
2021193
8 2020167
9 2018160
10 2011143
11 2020143
12 2012141
13 2013129
14 2014114
15 2006112
16 2011111
17 2020111
18 2015110
19 2011110
20 2021102

About Wei Wang

Wei Wang is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Epidemiology, having authored 403 papers that have together received 10.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (37 papers), Cancer-related Molecular Pathways (35 papers), Immune Cell Function and Interaction (34 papers), Cervical Cancer and HPV Research (30 papers), Pregnancy and preeclampsia studies (30 papers), Drug Transport and Resistance Mechanisms (29 papers), MicroRNA in disease regulation (21 papers) and Immunotherapy and Immune Responses (20 papers). The work is most often cited by research in Cancer Research (2.2k citations), Obstetrics and Gynecology (927 citations), Immunology (2.2k citations), Oncology (2.7k citations) and Immunology and Allergy (441 citations). Wei Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Nazzareno Ballatori, Xiao Peng Zhang, Feng Liu, David C. Zawieja, Ding Ma, Xiao‐Peng Zhang, Chenfei Zhou, Bing‐Hao Luo, Shixuan Wang and Sha Wu. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, Hypertension, The Journal of Immunology and Proceedings of the National Academy of Sciences.

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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