Xiaoping Ruan

23 papers receiving 736 citations

Peers

Xiaoping Ruan
Comparison fields: 5 of 59
  • Endocrinology, Diabetes and Metabolism 266
  • Cardiology and Cardiovascular Medicine 242
  • Biochemistry 76
  • Nephrology 54
  • Physiology 162
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Chun Xue United States
M Jáchymová Czechia
Teisuke Takahashi Japan
Gerd Luippold Germany
Kimberly M. Hoagland United States
Nobuhiro Miyamura Japan
Carie Facemire United States
Machiko Yabana Japan
Kenji Mizuno Japan
Karin Kohlstedt Germany
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Countries citing papers authored by Xiaoping Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoping Ruan. 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 Ruan. The network helps show where Xiaoping Ruan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199789
2 201568
3 199566
4 201356
5 199950
6 199949
7 199647
8 200145
9 202243
10 199639
11 200238
12 199335
13 199928
14 201428
15
Effects of candesartan on angiotensin II-induced renal vasoconstriction in rats and mice.
199916
16 201615
17 201414
18 20219
19 20087
20 20216

About Xiaoping Ruan

Xiaoping Ruan is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery and Physiology, having authored 23 papers that have together received 756 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (9 papers), Diabetes Treatment and Management (6 papers), Hormonal Regulation and Hypertension (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Pancreatic function and diabetes (4 papers), Diabetes Management and Research (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (266 citations), Cardiology and Cardiovascular Medicine (242 citations), Biochemistry (76 citations), Nephrology (54 citations) and Physiology (162 citations). Xiaoping Ruan has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include William J. Arendshorst, Christos Chatziantoniou, Armin Kurtz, Thomas M. Coffman, Charlotte Wagner, Michael I. Oliverio, Peter Sandner, Chen S. Suen, Julie S. Moyers and Christine C. Cheng. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Nephrology Dialysis Transplantation, Journal of Pharmacology and Experimental Therapeutics, Diabetes and Journal of the American Society of Nephrology.

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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