Jun Yu
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cell Biology top 0.5%
- Caveolin-1 and cellular processes
Papers in
-
- Angiogenesis and VEGF in Cancer 13
- Inflammasome and immune disorders 7
- Immunology 20
- Atherosclerosis and Cardiovascular Diseases 8
- Co-authors
- William C. Sessa (39 shared papers)Takahisa Murata (7 shared papers)Carlos Fernández‐Hernando (8 shared papers)Michelle I. Lin (5 shared papers)Yajaira Suárez (5 shared papers)Jay Prendergast (3 shared papers)Frank J. Giordano (5 shared papers)Kenneth Harrison (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (9 papers)Frontiers in Immunology (7 papers)American Journal Of Pathology (6 papers)Molecules (4 papers)Frontiers in Cardiovascular Medicine (4 papers)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Jun Yu
109 papers receiving 6.7k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 1.2k
- Cell Biology 1.3k
- Molecular Biology 3.7k
- Immunology 918
- Physiology 993
Countries citing papers authored by Jun Yu
This map shows the geographic impact of Jun Yu'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 Jun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yu more than expected).
Fields of papers citing papers by Jun Yu
This network shows the impact of papers produced by Jun Yu. 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 Jun Yu. The network helps show where Jun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 414 | |
| 2 | 2006 | 312 | |
| 3 | 2005 | 283 | |
| 4 | 2012 | 251 | |
| 5 | 2007 | 247 | |
| 6 | 2013 | 227 | |
| 7 | 2004 | 212 | |
| 8 | 2007 | 209 | |
| 9 | 2003 | 209 | |
| 10 | 2016 | 201 | |
| 11 | 2005 | 166 | |
| 12 | 2003 | 158 | |
| 13 | 2018 | 150 | |
| 14 | 2009 | 149 | |
| 15 | 2004 | 146 | |
| 16 | 2015 | 138 | |
| 17 | 2017 | 131 | |
| 18 | 2007 | 130 | |
| 19 | 2006 | 128 | |
| 20 | 2021 | 126 |
About Jun Yu
Jun Yu is a scholar working on Molecular Biology, Immunology, Cancer Research, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 114 papers that have together received 6.8k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (13 papers), Caveolin-1 and cellular processes (9 papers), Renin-Angiotensin System Studies (9 papers), Atherosclerosis and Cardiovascular Diseases (8 papers), Nitric Oxide and Endothelin Effects (7 papers), Cholesterol and Lipid Metabolism (7 papers), Inflammasome and immune disorders (7 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Cancer Research (1.2k citations), Cell Biology (1.3k citations), Molecular Biology (3.7k citations), Immunology (918 citations) and Physiology (993 citations). Jun Yu has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include William C. Sessa, Takahisa Murata, Carlos Fernández‐Hernando, Michelle I. Lin, Yajaira Suárez, Jay Prendergast, Frank J. Giordano, Kenneth Harrison, Renjing Liu and Xiaofeng Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Frontiers in Immunology, American Journal Of Pathology, Molecules and Frontiers in Cardiovascular Medicine.
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.