Minghao Ye

65 papers receiving 2.5k citations

Peers

Minghao Ye
Comparison fields: 5 of 125
  • Cardiology and Cardiovascular Medicine 1.1k
  • Endocrinology, Diabetes and Metabolism 667
  • Infectious Diseases 727
  • Nephrology 182
  • Genetics 197
Replace Luca Rinaldi with:
Luca Rinaldi Italy
Ali A. Rizvi United States
Andrea Ripoli Italy
Kyung‐Soo Kim South Korea
Sanjay Patel Australia
Jack Zhang United States
Yushi Hirota Japan
Francesco Romeo Italy
Pinelopi Manousou United Kingdom
Minghao Ye relative to Luca Rinaldi Italy Luca Rinaldi's profile →
Citations per field
00.5×2×4×6.2×
Luca Rinaldi · 1×
Citations per year

Countries citing papers authored by Minghao Ye

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Minghao Ye Line = papers co-authored together Minghao Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006403
2 2006280
3 2009250
4 2004196
5 2008168
6 2019155
7 2014107
8 201290
9 201875
10 202170
11 201358
12 201457
13 201652
14 201940
15 201439
16 201936
17 201733
18 202233
19 199532
20 201531

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 70 papers that have together received 2.6k 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 (1.1k citations), Endocrinology, Diabetes and Metabolism (667 citations), Infectious Diseases (727 citations), Nephrology (182 citations) and Genetics (197 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, Francisco R. González‐Pacheco and Kenneth E. Bernstein. Their work appears in journals such as Hypertension, Journal of the American Society of Nephrology, Kidney International, American Journal of Physiology-Renal Physiology and IEEE Journal on Selected Areas in Communications.

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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