Yan Wang

12.2k citations
335 papers · 8.7k · h-index 47

Impact in

Papers in

Yan Wang

311 papers receiving 8.7k citations

Peers

Yan Wang
Comparison fields: 5 of 166
  • Cancer Research 2.1k
  • Cardiology and Cardiovascular Medicine 2.1k
  • Biochemistry 555
  • Molecular Biology 3.3k
  • Endocrinology, Diabetes and Metabolism 693
Replace Péter Ferdinandy with:
Péter Ferdinandy Hungary
Marschall S. Runge United States
Peiqing Liu China
Alexander N. Orekhov Russia
Agnes Görlach Germany
Yulin Liao China
Baofeng Yang China
Zoltàn Arany United States
Barry L. Fanburg United States
Yunzeng Zou China
Yan Wang relative to Péter Ferdinandy Hungary Péter Ferdinandy's profile →
Citations per field
00.5×1.5×2.2×
Péter Ferdinandy · 1×
Citations per year

Countries citing papers authored by Yan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 335 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012379
2 2013272
3 2010270
4 2017215
5 2001209
6 2013205
7 2007181
8 2005175
9 2015175
10 2012174
11 2015172
12 2013172
13 2012152
14 2015148
15 2012117
16 2013114
17 202196
18 201195
19 201293
20 201890

About Yan Wang

Yan Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Surgery and Biochemistry, having authored 335 papers that have together received 8.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (41 papers), Cancer-related molecular mechanisms research (32 papers), Circular RNAs in diseases (17 papers), Eicosanoids and Hypertension Pharmacology (14 papers), Cardiac electrophysiology and arrhythmias (13 papers), Cardiac Arrhythmias and Treatments (12 papers), RNA Research and Splicing (10 papers) and Cardiomyopathy and Myosin Studies (10 papers). The work is most often cited by research in Cancer Research (2.1k citations), Cardiology and Cardiovascular Medicine (2.1k citations), Biochemistry (555 citations), Molecular Biology (3.3k citations) and Endocrinology, Diabetes and Metabolism (693 citations). Yan Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dao Wen Wang, Chen Chen, Helen H. Hobbs, Jonathan C. Cohen, David M. Valenzuela, Fabiana Quagliarini, Viktoria Gusarova, Jesper Gromada, Guangwen Long and Sandip Chaugai. Their work appears in journals such as Medicine, PLoS ONE, Frontiers in Cardiovascular Medicine, Proceedings of the National Academy of Sciences and Scientific Reports.

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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