Jun Feng

449 total papers · 10.2k total citations
259 papers, 6.5k citations indexed

About

Jun Feng is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jun Feng has authored 259 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 75 papers in Pathology and Forensic Medicine and 68 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jun Feng's work include Cardiac Ischemia and Reperfusion (66 papers), Nitric Oxide and Endothelin Effects (44 papers) and Cardiac Arrest and Resuscitation (20 papers). Jun Feng is often cited by papers focused on Cardiac Ischemia and Reperfusion (66 papers), Nitric Oxide and Endothelin Effects (44 papers) and Cardiac Arrest and Resuscitation (20 papers). Jun Feng collaborates with scholars based in United States, China and Canada. Jun Feng's co-authors include Frank W. Sellke, Cesario Bianchi, Richard Clements, Neel R. Sodha, Michael P. Robich, Yamei Tang, Yuhong Liu, Munir Boodhwani, Csaba Szabó and Shigetoshi Mieno and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Blood.

In The Last Decade

Jun Feng

239 papers receiving 6.4k citations

Hit Papers

Selective Inhibition of O... 2016 2026 2019 2022 2016 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun Feng 2.5k 1.4k 996 961 866 259 6.5k
Yuan‐Jian Li 2.1k 0.8× 925 0.7× 640 0.6× 613 0.6× 1.4k 1.7× 220 5.9k
Perry V. Halushka 3.0k 1.2× 1.5k 1.0× 477 0.5× 816 0.8× 1.4k 1.7× 239 9.0k
Raghvendra K. Dubey 1.7k 0.7× 1.2k 0.9× 559 0.6× 475 0.5× 1.1k 1.2× 148 7.0k
Peiqing Liu 6.3k 2.5× 1.1k 0.8× 694 0.7× 765 0.8× 1.4k 1.6× 320 11.8k
Junichi Azuma 2.3k 0.9× 858 0.6× 953 1.0× 467 0.5× 2.0k 2.3× 197 8.3k
Karsten Schrör 1.7k 0.7× 3.2k 2.3× 723 0.7× 1.5k 1.6× 1.2k 1.4× 347 8.4k
Ramaroson Andriantsitohaina 4.7k 1.9× 1.8k 1.3× 742 0.7× 858 0.9× 2.1k 2.5× 251 10.4k
Masayoshi Takeuchi 2.8k 1.1× 987 0.7× 1.8k 1.9× 741 0.8× 1.8k 2.1× 255 12.3k
Hans‐Peter Hammes 4.6k 1.9× 719 0.5× 551 0.6× 868 0.9× 1.8k 2.1× 178 11.5k
Jürgen Borlak 3.8k 1.5× 871 0.6× 408 0.4× 727 0.8× 884 1.0× 201 8.7k

Countries citing papers authored by Jun Feng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Feng. A scholar is included among the top collaborators of Jun Feng 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 Jun Feng. Jun Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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