Yingwei Wang

7.0k citations
154 papers · 2.3k · h-index 26

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • MicroRNA in disease regulation
    • Protease and Inhibitor Mechanisms

Papers in

Yingwei Wang

149 papers receiving 2.3k citations

Peers

Yingwei Wang
Comparison fields: 5 of 141
  • Nephrology 132
  • Cancer Research 238
  • Oncology 427
  • Immunology 303
  • Pharmaceutical Science 61
Replace Michael M. Hoffmann with:
Michael M. Hoffmann Germany
Bei Xu China
Tamaki Yamada Japan
Nannan Zhang China
Vijay V. Kakkar United Kingdom
G. Perret France
Lingling Zhu China
Hannah A. Blair New Zealand
Qiu Li China
Josep M. Piqué Spain
Yingwei Wang relative to Michael M. Hoffmann Germany Michael M. Hoffmann's profile →
Citations per field
00.5×5.3×
Michael M. Hoffmann · 1×
Citations per year

Countries citing papers authored by Yingwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yingwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201071
2 201466
3 202265
4 202065
5 200963
6 201863
7 201252
8 201352
9 201851
10 201450
11 201950
12 201948
13 202047
14 201144
15 202040
16 202139
17 201737
18 201736
19 201933
20 201632

About Yingwei Wang

Yingwei Wang is a scholar working on Oncology, Molecular Biology, Surgery, Radiology, Nuclear Medicine and Imaging and Nephrology, having authored 154 papers that have together received 2.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (14 papers), Peptidase Inhibition and Analysis (11 papers), Protease and Inhibitor Mechanisms (9 papers), MRI in cancer diagnosis (6 papers), Complement system in diseases (6 papers), Pain Mechanisms and Treatments (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Radiopharmaceutical Chemistry and Applications (5 papers). The work is most often cited by research in Nephrology (132 citations), Cancer Research (238 citations), Oncology (427 citations), Immunology (303 citations) and Pharmaceutical Science (61 citations). Yingwei Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Dan Zhao, Wen Qiu, Xia Zhang, Dawen Niu, Yue Chen, Kai Shan, Haiyi Wang, Huiyi Ye, Yan Li and Yuanwei Chen. Their work appears in journals such as Frontiers in Oncology, Scientific Reports, PLoS ONE, Molecular Pain and European Journal of Radiology.

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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