Jun Yu

8.4k citations
127 papers · 7.2k · h-index 45

Impact in

  • Cell Biology top 0.5%
    • Caveolin-1 and cellular processes
    • Cellular Mechanics and Interactions
    • MicroRNA in disease regulation

Papers in

    • Angiogenesis and VEGF in Cancer 19
    • TGF-β signaling in diseases 5
    • Inflammasome and immune disorders 5
    • Atherosclerosis and Cardiovascular Diseases 14

Jun Yu

121 papers receiving 7.1k citations

Peers

Jun Yu
Comparison fields: 5 of 119
  • Cell Biology 1.1k
  • Cancer Research 651
  • Immunology 843
  • Molecular Biology 2.4k
  • Physiology 756
Replace Anton J.G. Horrevoets with:
Anton J.G. Horrevoets Netherlands
Kathleen A. Martin United States
Andrew C. Newby United Kingdom
Chieko Mineo United States
Jacques Huot Canada
Min Wang United States
Qingzhong Xiao United Kingdom
Seiji Takashima Japan
Dominic P. Del Re United States
T Maciag United States
Jun Yu relative to Anton J.G. Horrevoets Netherlands Anton J.G. Horrevoets's profile →
Citations per field
00.5×1.5×1.9×
Anton J.G. Horrevoets · 1×
Citations per year

Countries citing papers authored by Jun Yu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Yu Line = papers co-authored together Jun Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008416
2 2006321
3 2005284
4 2012263
5 2007254
6 2013243
7 2007218
8 2004216
9 2003212
10 2016212
11 2005172
12 2009162
13 2003158
14 2018157
15 2004145
16 2015143
17 2021137
18 2007134
19 2006133
20 2017132

About Jun Yu

Jun Yu is a scholar working on Molecular Biology, Immunology, Cell Biology, Cardiology and Cardiovascular Medicine and Physiology, having authored 127 papers that have together received 7.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (19 papers), Atherosclerosis and Cardiovascular Diseases (14 papers), Nitric Oxide and Endothelin Effects (9 papers), Caveolin-1 and cellular processes (9 papers), Renin-Angiotensin System Studies (8 papers), TGF-β signaling in diseases (5 papers), Inflammasome and immune disorders (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Cell Biology (1.1k citations), Cancer Research (651 citations), Immunology (843 citations), Molecular Biology (2.4k citations) and Physiology (756 citations). Jun Yu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include William C. Sessa, Takahisa Murata, Carlos F Fernandez-Hernando, Michelle I. Lin, Yajaira Suárez, Jay Prendergast, Frank J. Giordano, Kenneth D. Harrison, Xiaofeng Yang and Renjing Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Frontiers in Immunology, American Journal Of Pathology, Frontiers in Cardiovascular Medicine and Journal of Hematology & Oncology.

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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