Feng Gao

6.1k citations
147 papers · 4.5k · 1 hit paper · h-index 42

Impact in

Papers in

Feng Gao

139 papers receiving 4.4k citations

Feng Gao's Hit Papers

Longterm Exercise-Derived Exosomal miR-342-5p 2019 · 243 citations
2430+2+4Years since publication50100150200

Peers

Feng Gao
Comparison fields: 5 of 144
  • Cardiology and Cardiovascular Medicine 1.0k
  • Pathology and Forensic Medicine 762
  • Physiology 1.0k
  • Developmental Neuroscience 136
  • Sensory Systems 151
Replace Yuan‐Jian Li with:
Yuan‐Jian Li China
Peter E. Light Canada
Junhui Sun United States
Árpád Tósaki Hungary
Tomomi Ide Japan
Xinliang Ma United States
Jun Feng United States
Manuela Aragno Italy
Raghvendra K. Dubey United States
Yanping Liu China
Feng Gao relative to Yuan‐Jian Li China Yuan‐Jian Li's profile →
Citations per field
00.5×1.5×2.5×
Yuan‐Jian Li · 1×
Citations per year

Countries citing papers authored by Feng Gao

Since Specialization
Citations

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

Fields of papers citing papers by Feng Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Longterm Exercise-Derived Exosomal miR-342-5p
Hit paper breakdown →
2019243
2 2014150
3 2007149
4 1999140
5 1998120
6 2013109
7 200990
8 200981
9 200676
10 200775
11 201372
12 201369
13 201868
14 201368
15 200265
16 201465
17 200764
18 201763
19 201162
20 201660

About Feng Gao

Feng Gao is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Physiology and Epidemiology, having authored 147 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (31 papers), Mitochondrial Function and Pathology (21 papers), Cardiovascular Function and Risk Factors (14 papers), Adipose Tissue and Metabolism (13 papers), Nitric Oxide and Endothelin Effects (12 papers), Cardiovascular and exercise physiology (11 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Pathology and Forensic Medicine (762 citations), Physiology (1.0k citations), Developmental Neuroscience (136 citations) and Sensory Systems (151 citations). Feng Gao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Haifeng Zhang, Xing Zhang, Theodore A. Christopher, Bernard L. Lopez, Jun Ren, Xin L., Heng Ma, Haichang Wang, Ling Dong and Zuoxu Hou. Their work appears in journals such as APOPTOSIS, Life Sciences, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Cardiovascular Pharmacology and Journal of Molecular and Cellular Cardiology.

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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