Jun Feng

10.3k citations
261 papers · 6.5k indexed · 1 hit paper · h-index 38

Impact in

Papers in

Jun Feng

241 papers receiving 6.4k citations

Hit Papers

Selective Inhibition of Oncogenic KRAS Output with Small Molecules Targeting the Inactive State 2016 · 530 citations
5302016202620192022100200300400500

Peers

Jun Feng
Comparison fields: 5 of 149
  • Biochemistry 456
  • Developmental Neuroscience 258
  • Cardiology and Cardiovascular Medicine 1.4k
  • Behavioral Neuroscience 197
  • Pathology and Forensic Medicine 995
Replace Angelo Parini with:
Angelo Parini France
Albert Y. Sun United States
Nazareno Paolocci United States
Vilmantė Borutaitė Lithuania
Luke I. Szweda United States
Giuseppe Petrosillo Italy
Amanda Lochner South Africa
Francesca Ruggiero Italy
John Pernow Sweden
Masatsugu Horiuchi Japan
Jun Feng relative to Angelo Parini France Angelo Parini's profile →
Citations per field
00.5×4.5×
Angelo Parini · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20241
4 20245
5 20244
6 20241
7 20240
8 20243
9 20236
10 202311
11 20233
12 202239
13 202120
14 202035
15 20209
16 2017174
17
Selective Inhibition of Oncogenic KRAS Output with Small Molecules Targeting the Inactive State
Hit paper breakdown →
2016530
18 201592
19 20150
20 20091

About Jun Feng

Jun Feng is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Developmental Neuroscience, Physiology and Emergency Medicine, having authored 261 papers that have together received 6.5k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (66 papers), Nitric Oxide and Endothelin Effects (44 papers), Cardiac Arrest and Resuscitation (20 papers), Cardiac and Coronary Surgery Techniques (15 papers), Cardiovascular Function and Risk Factors (14 papers), Cardiac electrophysiology and arrhythmias (14 papers), Anesthesia and Neurotoxicity Research (12 papers) and Cardiac, Anesthesia and Surgical Outcomes (12 papers). The work is most often cited by research in Biochemistry (456 citations), Developmental Neuroscience (258 citations), Cardiology and Cardiovascular Medicine (1.4k citations), Behavioral Neuroscience (197 citations) and Pathology and Forensic Medicine (995 citations). Jun Feng has collaborated with scholars based in United States, China and Canada. Frequent 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. Their work appears in journals such as Circulation, Surgery, Journal of Thoracic and Cardiovascular Surgery, The Annals of Thoracic Surgery and Journal of Surgical Research.

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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