Wenjun Fan
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Epidemiology top 10%
- Molecular Biology
- Co-authors
- Nathan D. WongDiana GlovaciLixian SunSephy PhilipPeter P. TóthCraig GranowitzJingyi LiuMatthew J. Budoff
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers)Lipoproteins and Cardiovascular Health (12 papers)Cardiovascular Function and Risk Factors (10 papers)
- Journals
- CirculationNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Wenjun Fan
55 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Endocrinology, Diabetes and Metabolism 530
- Cardiology and Cardiovascular Medicine 492
- Surgery 309
- Epidemiology 260
- Molecular Biology 193
Countries citing papers authored by Wenjun Fan
This map shows the geographic impact of Wenjun Fan'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 Wenjun Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjun Fan more than expected).
Fields of papers citing papers by Wenjun Fan
This network shows the impact of papers produced by Wenjun Fan. 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 Wenjun Fan. The network helps show where Wenjun Fan may publish in the future.
Co-authorship network of co-authors of Wenjun Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Wenjun Fan. A scholar is included among the top collaborators of Wenjun Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wenjun Fan. Wenjun Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | Lipoprotein(a) and Long-Term Cardiovascular Risk in a Multi-Ethnic Pooled Prospective Cohortbreakdown → | 38 |
| 6 | 10 | |
| 7 | 19 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 18 | |
| 14 | 38 | |
| 15 | 32 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 12 | |
| 19 | 4 | |
| 20 | 49 |
About Wenjun Fan
Wenjun Fan is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Internal Medicine, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Lipoproteins and Cardiovascular Health (12 papers) and Cardiovascular Function and Risk Factors (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (530 citations), Cardiology and Cardiovascular Medicine (492 citations) and Epidemiology (260 citations). Wenjun Fan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nathan D. Wong, Diana Glovaci, Lixian Sun, Sephy Philip, Peter P. Tóth, Craig Granowitz, Jingyi Liu, Matthew J. Budoff, Chao Han and Yanan Tian. Their work appears in journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.
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.