Chaofan Wang

801 citations
72 papers · 488 · h-index 12

Impact in

Papers in

Chaofan Wang

65 papers receiving 480 citations

Peers

Chaofan Wang
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 81
  • Cardiology and Cardiovascular Medicine 76
  • Obstetrics and Gynecology 25
  • Biological Psychiatry 5
  • Molecular Biology 93
Replace Kota Matsuki with:
Kota Matsuki Japan
Maria Paola Canale Italy
Yat-Ching Tong Taiwan
Jie Shi China
Mark Sader Australia
Maria Elizabeth Rossi da Silva Brazil
Yavor Assyov Bulgaria
Roland James United States
Ceylan Ayada Türkiye
Chaofan Wang relative to Kota Matsuki Japan Kota Matsuki's profile →
Citations per field
00.5×3.7×
Kota Matsuki · 1×
Citations per year

Countries citing papers authored by Chaofan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chaofan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201247
2 202141
3 202124
4 202124
5 202322
6 202322
7 202321
8 202116
9 202315
10 202014
11 202213
12 202211
13 202210
14 201610
15 201210
16 20229
17 20239
18 20229
19 20238
20 20247

About Chaofan Wang

Chaofan Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 72 papers that have together received 488 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (6 papers), Gestational Diabetes Research and Management (5 papers), Cardiac Imaging and Diagnostics (3 papers), Diabetes Management and Research (3 papers), Heart Failure Treatment and Management (3 papers), Cardiovascular Function and Risk Factors (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (81 citations), Cardiology and Cardiovascular Medicine (76 citations), Obstetrics and Gynecology (25 citations), Biological Psychiatry (5 citations) and Molecular Biology (93 citations). Chaofan Wang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Tongda Xu, Dongye Li, Junhong Chen, Yawei Xu, Baowei Zhang, Wei‐Ming Li, Wenhui Peng, Daizhi Yang, Qiuhui Hu and Liyan Zhao. Their work appears in journals such as Frontiers in Immunology, Diabetes/Metabolism Research and Reviews, eLife, Cellular and Molecular Life Sciences and The FASEB Journal.

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.

Explore authors with similar magnitude of impact