Minghao Ye
Impact in
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- Renin-Angiotensin System Studies
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Renin-Angiotensin System Studies 22
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- Hormonal Regulation and Hypertension 16
- Co-authors
- Daniel Batlle (39 shared papers)Jan Wysocki (34 shared papers)María José Soler (3 shared papers)Josette William (2 shared papers)Ivan Cokic (2 shared papers)Michael S. LaPointe (4 shared papers)Susan B. Gurley (2 shared papers)Mohammad R. Salabat (1 shared paper)
- Journals
- Hypertension (11 papers)Journal of the American Society of Nephrology (9 papers)Kidney International (6 papers)American Journal of Physiology-Renal Physiology (4 papers)Advanced Functional Materials (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Minghao Ye
65 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 124
- Cardiology and Cardiovascular Medicine 1.0k
- Infectious Diseases 723
- Endocrinology, Diabetes and Metabolism 630
- Nephrology 179
- Genetics 191
Countries citing papers authored by Minghao Ye
This map shows the geographic impact of Minghao Ye'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 Minghao Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghao Ye more than expected).
Fields of papers citing papers by Minghao Ye
This network shows the impact of papers produced by Minghao Ye. 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 Minghao Ye. The network helps show where Minghao Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghao Ye, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 394 | |
| 2 | 2006 | 275 | |
| 3 | 2009 | 234 | |
| 4 | 2004 | 195 | |
| 5 | 2008 | 168 | |
| 6 | 2019 | 152 | |
| 7 | 2014 | 101 | |
| 8 | 2012 | 88 | |
| 9 | 2018 | 71 | |
| 10 | 2021 | 70 | |
| 11 | 2013 | 54 | |
| 12 | 2014 | 54 | |
| 13 | 2016 | 51 | |
| 14 | 2019 | 40 | |
| 15 | 2014 | 38 | |
| 16 | 2019 | 36 | |
| 17 | 2022 | 33 | |
| 18 | 2017 | 32 | |
| 19 | 1995 | 29 | |
| 20 | 2015 | 28 |
About Minghao Ye
Minghao Ye is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Computer Networks and Communications, Electrical and Electronic Engineering and Molecular Biology, having authored 69 papers that have together received 2.5k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (22 papers), Hormonal Regulation and Hypertension (16 papers), Software-Defined Networks and 5G (10 papers), Network Traffic and Congestion Control (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Apelin-related biomedical research (5 papers), Advanced Optical Network Technologies (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Infectious Diseases (723 citations), Endocrinology, Diabetes and Metabolism (630 citations), Nephrology (179 citations) and Genetics (191 citations). Minghao Ye has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Daniel Batlle, Jan Wysocki, María José Soler, Josette William, Ivan Cokic, Michael S. LaPointe, Susan B. Gurley, Mohammad R. Salabat, Hong Xiao and Thomas M. Coffman. Their work appears in journals such as Hypertension, Journal of the American Society of Nephrology, Kidney International, American Journal of Physiology-Renal Physiology and Advanced Functional Materials.
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.