Jun Yang
Impact in
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- Hormonal Regulation and Hypertension
- Adrenal Hormones and Disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Hormonal Regulation and Hypertension 114
- Genetics 13
- Estrogen and related hormone effects 12
- Co-authors
- Morag J. Young (37 shared papers)Peter J. Fuller (65 shared papers)Anand Vaidya (3 shared papers)Adina F. Turcu (2 shared papers)Stella May Gwini (26 shared papers)Jimmy Shen (16 shared papers)Renata Libianto (20 shared papers)Michael Stowasser (14 shared papers)
In The Last Decade
Jun Yang
125 papers receiving 2.6k citations
Jun Yang's Hit Papers
Peers
Comparison fields: 5 of 86
- Endocrinology, Diabetes and Metabolism 2k
- Behavioral Neuroscience 35
- Nephrology 85
- Cardiology and Cardiovascular Medicine 182
- Genetics 150
Countries citing papers authored by Jun Yang
This map shows the geographic impact of Jun Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yang more than expected).
Fields of papers citing papers by Jun Yang
This network shows the impact of papers produced by Jun Yang. 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 Yang. The network helps show where Jun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 173 | |
| 2 | 2019 | 123 | |
| 3 | 2022 | 117 | |
| 4 | Primary Aldosteronism: An Endocrine Society Clinical Practice Guideline Hit paper breakdown → | 2025 | 106 |
| 5 | 2019 | 91 | |
| 6 | 2009 | 89 | |
| 7 | 2011 | 82 | |
| 8 | 2022 | 79 | |
| 9 | 2023 | 78 | |
| 10 | 2022 | 70 | |
| 11 | 2017 | 62 | |
| 12 | 2023 | 57 | |
| 13 | 2016 | 52 | |
| 14 | 2010 | 43 | |
| 15 | 2011 | 40 | |
| 16 | 2021 | 39 | |
| 17 | 2020 | 38 | |
| 18 | 2022 | 38 | |
| 19 | 2024 | 37 | |
| 20 | Outcomes after medical treatment for primary aldosteronism: an international consensus and analysis of treatment response in an international cohort Hit paper breakdown → | 2025 | 36 |
About Jun Yang
Jun Yang is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Cardiology and Cardiovascular Medicine, Nephrology and Nutrition and Dietetics, having authored 131 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (114 papers), Estrogen and related hormone effects (12 papers), Blood Pressure and Hypertension Studies (5 papers), Renin-Angiotensin System Studies (3 papers), Adrenal and Paraganglionic Tumors (2 papers), Sodium Intake and Health (2 papers), Receptor Mechanisms and Signaling (1 paper) and Smoking Behavior and Cessation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2k citations), Behavioral Neuroscience (35 citations), Nephrology (85 citations), Cardiology and Cardiovascular Medicine (182 citations) and Genetics (150 citations). Jun Yang has collaborated with scholars based in Australia, China and Germany. Frequent co-authors include Morag J. Young, Peter J. Fuller, Anand Vaidya, Adina F. Turcu, Stella May Gwini, Jimmy Shen, Renata Libianto, Michael Stowasser, Qifu Li and Jinbo Hu. Their work appears in journals such as Clinical Endocrinology, Hypertension, The Journal of Clinical Endocrinology & Metabolism, Journal of Human Hypertension and Journal of Hypertension.
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.