John Ouyang

60 papers receiving 5.4k citations

John Ouyang's Hit Papers

Tolvaptan in Later-Stage Autosomal Dominant Polycystic Kidney Disease 2017 · 482 citations
4820+4+9Years since publication4008001.2k

Peers

John Ouyang
Comparison fields: 5 of 79
  • Genetics 2.4k
  • Pulmonary and Respiratory Medicine 1.3k
  • Nephrology 323
  • Cardiology and Cardiovascular Medicine 771
  • Psychiatry and Mental health 513
Replace Jacklyn N. Hellwege with:
Jacklyn N. Hellwege United States
W. Craig Johnson United States
Béatrice Bouhanick France
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Citations per field
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Citations per year

Countries citing papers authored by John Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by John Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tolvaptan in Patients with Autosomal Dominant Polycystic Kidney Disease
Hit paper breakdown →
20121281
2
Tolvaptan in Later-Stage Autosomal Dominant Polycystic Kidney Disease
Hit paper breakdown →
2017482
3 2003365
4 2010281
5 2005221
6 2015165
7 2008155
8 2015154
9 2017153
10 2015147
11 2007143
12 2007131
13 2011130
14 2013127
15 2016122
16 2006120
17 2011117
18 2011116
19 201683
20 201572

About John Ouyang

John Ouyang is a scholar working on Genetics, Psychiatry and Mental health, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Statistics and Probability, having authored 61 papers that have together received 5.6k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (28 papers), Electrolyte and hormonal disorders (12 papers), Heart Failure Treatment and Management (11 papers), Schizophrenia research and treatment (10 papers), Statistical Methods in Clinical Trials (2 papers), Statistical Methods and Bayesian Inference (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Genetics (2.4k citations), Pulmonary and Respiratory Medicine (1.3k citations), Nephrology (323 citations), Cardiology and Cardiovascular Medicine (771 citations) and Psychiatry and Mental health (513 citations). John Ouyang has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Frank S. Czerwiec, Vicente E. Torres, Arlene B. Chapman, Ronald D. Perrone, Olivier Devuyst, Ron T. Gansevoort, Holly B. Krasa, Eiji Higashihara, Jared J. Grantham and Cesare Orlandi. Their work appears in journals such as Kidney International Reports, Nephrology Dialysis Transplantation, American Journal of Kidney Diseases, Journal of the American College of Cardiology and Journal of Cardiac Failure.

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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