Xiaoping Yang
- Cancer Research top 2%
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- Cardiac Fibrosis and Remodeling 9
- Renin-Angiotensin System Studies 8
- Ophthalmology top 1%
- Molecular Biology top 2%
- Metabolism, Diabetes, and Cancer 17
- Receptor Mechanisms and Signaling 14
- Immunology top 5%
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- Nitric Oxide and Endothelin Effects 16
- Adenosine and Purinergic Signaling 11
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- Neuropeptides and Animal Physiology 15
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- Cardiovascular, Neuropeptides, and Oxidative Stress Research 11
- Co-authors
- Jun RenMei PengSreejayan NairShigetoshi ChibaGeorge T. TsaoVera L. BonilhaJoe G. HollyfieldK.G. Shadrach
- Journals
- American Journal of Physiology-Heart and Circulatory Physiology (6 papers)European Journal of Pharmacology (4 papers)Journal of Cardiovascular Pharmacology (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaoping Yang
203 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cancer Research 829
- Cardiology and Cardiovascular Medicine 1.3k
- Ophthalmology 458
- Molecular Biology 2.9k
- Immunology 682
Countries citing papers authored by Xiaoping Yang
This map shows the geographic impact of Xiaoping 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 Xiaoping Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Yang more than expected).
Fields of papers citing papers by Xiaoping Yang
This network shows the impact of papers produced by Xiaoping 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 Xiaoping Yang. The network helps show where Xiaoping Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoping 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 66 | |
| 10 | 2020 | 5 | |
| 11 | 2020 | 8 | |
| 12 | 2019 | 19 | |
| 13 | 2018 | 1 | |
| 14 | 2016 | 28 | |
| 15 | 2013 | 42 | |
| 16 | 2008 | 29 | |
| 17 | 2002 | 2 | |
| 18 | 2000 | 8 | |
| 19 | 2000 | 5 | |
| 20 | 1999 | 13 |
About Xiaoping Yang
Xiaoping Yang is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 208 papers that have together received 6.5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (17 papers), Nitric Oxide and Endothelin Effects (16 papers), Neuropeptides and Animal Physiology (15 papers), Receptor Mechanisms and Signaling (14 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers), Adenosine and Purinergic Signaling (11 papers), Cardiac Fibrosis and Remodeling (9 papers) and Renin-Angiotensin System Studies (8 papers). The work is most often cited by research in Cancer Research (829 citations), Cardiology and Cardiovascular Medicine (1.3k citations) and Ophthalmology (458 citations). Xiaoping Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jun Ren, Mei Peng, Sreejayan Nair, Shigetoshi Chiba, George T. Tsao, Vera L. Bonilha, Joe G. Hollyfield, K.G. Shadrach, Mary E. Rayborn and Robert G. Salomon. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, European Journal of Pharmacology, Journal of Cardiovascular Pharmacology, British Journal of Pharmacology and Arteriosclerosis Thrombosis and Vascular Biology.
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.