Zhenwei Wang

1.5k citations
85 papers · 936 · 1 hit paper · h-index 16

Impact in

Papers in

Zhenwei Wang

80 papers receiving 927 citations

Zhenwei Wang's Hit Papers

Programmed cell death in atherosclerosis and vascular calcification 2022 · 150 citations
1500+1+2Years since publication50100150

Peers

Zhenwei Wang
Comparison fields: 5 of 117
  • Immunology 112
  • Insect Science 67
  • Endocrinology, Diabetes and Metabolism 73
  • Cancer Research 64
  • Nephrology 26
Replace Yulong Fu with:
Yulong Fu China
Sanjeev K. Baniwal United States
Jeremy Twigg United Kingdom
Julie A. Dragon United States
Chong Huang China
Juan Zhou China
Bakhtiyor Yakubov United States
James Wettenhall Australia
Ryszard Pawłowski Poland
Zengjun Wang China
Zhenwei Wang relative to Yulong Fu China Yulong Fu's profile →
Citations per field
00.5×2.7×
Yulong Fu · 1×
Citations per year

Countries citing papers authored by Zhenwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhenwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Programmed cell death in atherosclerosis and vascular calcification
Hit paper breakdown →
2022150
2 202365
3 202359
4 201248
5 200640
6 202229
7 201925
8 202323
9 202023
10 202122
11 202121
12 201321
13 202220
14 202220
15 202417
16 202216
17 202214
18 200613
19 202012
20 202112

About Zhenwei Wang

Zhenwei Wang is a scholar working on Surgery, Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine and Health, Toxicology and Mutagenesis, having authored 85 papers that have together received 936 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Insect and Pesticide Research (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Plant and animal studies (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers) and Insect and Arachnid Ecology and Behavior (2 papers). The work is most often cited by research in Immunology (112 citations), Insect Science (67 citations), Endocrinology, Diabetes and Metabolism (73 citations), Cancer Research (64 citations) and Nephrology (26 citations). Zhenwei Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Naifeng Liu, Lijuan Fang, Shou-Quan Cheng, Xin Wang, Shengjue Xiao, Jingjie Li, Qianghua Xu, Sheng‐Guo Fang, Jing Xie and Ken Tan. Their work appears in journals such as Frontiers in Endocrinology, Journal of Inflammation Research, Nutrition Metabolism and Cardiovascular Diseases, Frontiers in Cardiovascular Medicine and Clinica Chimica Acta.

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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