Oliver Chung

648 citations
18 papers · 477 indexed · h-index 12

Impact in

Papers in

Oliver Chung

18 papers receiving 470 citations

Peers

Oliver Chung
Comparison fields: 5 of 91
  • Family Practice 24
  • Cardiology and Cardiovascular Medicine 191
  • Gastroenterology 45
  • Urology 50
  • Endocrinology, Diabetes and Metabolism 79
Replace Akiyoshi Ohtake with:
Akiyoshi Ohtake Japan
L. Bartula United States
Toshikazu Kigoshi Japan
Farook Thameem United States
Nama Beck United States
K Kumano Japan
Fabiano Beraldi Calmasini Brazil
Alexandru Barboi United States
Andre Terzic United States
Ho‐Shiang Huang Taiwan
Oliver Chung relative to Akiyoshi Ohtake Japan Akiyoshi Ohtake's profile →
Citations per field
00.5×7.1×
Akiyoshi Ohtake · 1×
Citations per year

Countries citing papers authored by Oliver Chung

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201611
2 201669
3 201520
4 201436
5 20006
6 199911
7 19992
8 199825
9 199814
10 199897
11 19984
12 199327
13 199311
14 199244
15 199249
16 199219
17 19918
18 199024

About Oliver Chung

Oliver Chung is a scholar working on Family Practice, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Gastroenterology and Biophysics, having authored 18 papers that have together received 477 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (4 papers), Blood Pressure and Hypertension Studies (3 papers), Hormonal Regulation and Hypertension (3 papers), Apelin-related biomedical research (2 papers), Neuroendocrine regulation and behavior (2 papers), Receptor Mechanisms and Signaling (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Family Practice (24 citations), Cardiology and Cardiovascular Medicine (191 citations), Gastroenterology (45 citations), Urology (50 citations) and Endocrinology, Diabetes and Metabolism (79 citations). Oliver Chung has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include T Unger, Monika Stoll, Andrea Heldsinger, Yasuhiro Tsunoda, Meryem Gonzalez-Celeiro, Ya‐Chieh Hsu, Elena Ezhkova, D. S. Louie, Bing Zhang and Carolina N. Perdigoto. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Journal of Hypertension, European Journal of Pharmacology, Genes & Development and Heart Failure Reviews.

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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