Runyu Ye

580 citations
29 papers · 300 · 1 hit paper · h-index 10

Impact in

Papers in

Runyu Ye

28 papers receiving 294 citations

Hit Papers

Signaling pathways in vascular function and hypertension: molecular mechanisms and therapeutic interventions 2023 · 125 citations
1250+1+2Years since publication4080120

Peers

Runyu Ye
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 132
  • Endocrinology, Diabetes and Metabolism 51
  • Nephrology 16
  • Nutrition and Dietetics 33
  • Physiology 48
Replace Fumihiko Kamezaki with:
Fumihiko Kamezaki Japan
Erick McNair Canada
Adela Navarro Spain
Izzah Vasim United States
Frida Liane Plavnik Brazil
Xianghai Zhao China
Evgeny E. Borisov Russia
Fabio Ragazzo Italy
Rujia Miao China
Runyu Ye relative to Fumihiko Kamezaki Japan Fumihiko Kamezaki's profile →
Citations per field
00.5×10×12.7×
Fumihiko Kamezaki · 1×
Citations per year

Countries citing papers authored by Runyu Ye

Since Specialization
Citations

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

Fields of papers citing papers by Runyu Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Signaling pathways in vascular function and hypertension: molecular mechanisms and therapeutic interventions
Hit paper breakdown →
2023125
2 201818
3 201916
4 202215
5 202314
6 202211
7 202410
8 202010
9 202210
10 201910
11 20198
12 20228
13 20218
14 20207
15 20235
16 20243
17 20223
18 20213
19 20213
20 20232

About Runyu Ye

Runyu Ye is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics, Public Health, Environmental and Occupational Health and Physiology, having authored 29 papers that have together received 300 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (18 papers), Cardiovascular Health and Disease Prevention (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Heart Rate Variability and Autonomic Control (5 papers), Sodium Intake and Health (5 papers), Nutritional Studies and Diet (3 papers), Hormonal Regulation and Hypertension (3 papers) and Migraine and Headache Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (132 citations), Endocrinology, Diabetes and Metabolism (51 citations), Nephrology (16 citations), Nutrition and Dietetics (33 citations) and Physiology (48 citations). Runyu Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiangyu Yang, Qingtao Meng, Rufeng Shi, Jun Ma, Xiaoping Chen, Kai Liu, Ziqiong Wang, Xin Zhang, Zhipeng Zhang and Yanan Li. Their work appears in journals such as Journal of Clinical Hypertension, Journal of Hypertension, BMC Cardiovascular Disorders, Hypertension Research and BMJ Open.

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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