Gary Gong

525 citations
32 papers · 390 · h-index 13

Impact in

Papers in

Gary Gong

30 papers receiving 372 citations

Peers

Gary Gong
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 104
  • Physiology 70
  • Neurology 21
  • Pathology and Forensic Medicine 35
  • Neurology 27
Replace Xiaojian Wang with:
Xiaojian Wang China
Fanny Laroumanie United States
Paul Marano United States
Katharina Urschel Germany
Adriana Olivares Italy
Koichiro Shibata Japan
Nadia Salerno Italy
Toru Okamura Japan
Tae Sik Jung South Korea
Sebastian Korff Germany
Gary Gong relative to Xiaojian Wang China Xiaojian Wang's profile →
Citations per field
00.5×3.9×
Xiaojian Wang · 1×
Citations per year

Countries citing papers authored by Gary Gong

Since Specialization
Citations

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

Fields of papers citing papers by Gary Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 201830
3 202027
4 199724
5 200423
6 199922
7 199921
8 202020
9 200620
10 201819
11 202018
12 199815
13 202314
14 201912
15 20079
16 20209
17 19988
18 20147
19 19986
20 20246

About Gary Gong

Gary Gong is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 390 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (5 papers), Phosphodiesterase function and regulation (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Blood Pressure and Hypertension Studies (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (104 citations), Physiology (70 citations), Neurology (21 citations), Pathology and Forensic Medicine (35 citations) and Neurology (27 citations). Gary Gong has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Harvey R. Weiss, Peter M. Scholz, James Tse, Zhendong Liu, Martin Auster, Yi Cui, Qiang Chai, Michaela Straznicka, Yingxin Zhao and Shangwen Sun. Their work appears in journals such as Journal of Cardiovascular Pharmacology, BMC Geriatrics, Hypertension Research, Canadian Journal of Physiology and Pharmacology and European Journal of Pharmacology.

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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