Xiao-Ping Yang

5.2k citations
73 papers · 4.4k indexed · h-index 41

Impact in

Papers in

Xiao-Ping Yang

73 papers receiving 4.4k citations

Peers

Xiao-Ping Yang
Comparison fields: 5 of 123
  • Cardiology and Cardiovascular Medicine 2.1k
  • Genetics 492
  • Endocrinology, Diabetes and Metabolism 658
  • Biochemistry 177
  • Physiology 104
Replace Jane‐Lise Samuel with:
Jane‐Lise Samuel France
Edward P. Feener United States
Lan Mao United States
Haruhiro Toko Japan
Fabio Fiordaliso Italy
Hossein Ardehali United States
Mizuo Miyazaki Japan
Pierre‐Louis Tharaux France
Jos F.M. Smits Netherlands
Timothy E. Peterson United States
Xiao-Ping Yang relative to Jane‐Lise Samuel France Jane‐Lise Samuel's profile →
Citations per field
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Jane‐Lise Samuel · 1×
Citations per year

Countries citing papers authored by Xiao-Ping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Ping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-Ping 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 Xiao-Ping Yang. The network helps show where Xiao-Ping Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999308
2 2010212
3 2006141
4 2006130
5 1996125
6 2008123
7 1999123
8 2004115
9 2003114
10 2005105
11 2001105
12 2011104
13 2005101
14 2004101
15 2003100
16 200299
17 199698
18 199797
19 201490
20 201589

About Xiao-Ping Yang

Xiao-Ping Yang is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Endocrinology, Diabetes and Metabolism, Pharmacology and Physiology, having authored 73 papers that have together received 4.4k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (26 papers), Cardiac Fibrosis and Remodeling (16 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (10 papers), Hormonal Regulation and Hypertension (8 papers), Nitric Oxide and Endothelin Effects (7 papers), Apelin-related biomedical research (6 papers), Cardiomyopathy and Myosin Studies (6 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.1k citations), Genetics (492 citations), Endocrinology, Diabetes and Metabolism (658 citations), Biochemistry (177 citations) and Physiology (104 citations). Xiao-Ping Yang has collaborated with scholars based in United States, China and Argentina. Frequent co-authors include Oscar A. Carretero, Yun-He Liu, Nour-Eddine Rhaleb, Jiang Xu, Maria A. Cavasin, Edward G. Shesely, Jane F. Reckelhoff, Tang-Dong Liao, Margot C. LaPointe and Oscar H. Cingolani. Their work appears in journals such as Hypertension, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Cardiac Failure, Journal of Cardiovascular Pharmacology and Chemical 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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