Ye Gu

486 citations
30 papers · 356 · h-index 13

Impact in

Papers in

Ye Gu

28 papers receiving 349 citations

Peers

Ye Gu
Comparison fields: 5 of 82
  • Internal Medicine 29
  • Cardiology and Cardiovascular Medicine 154
  • Complementary and alternative medicine 27
  • Urology 20
  • Pharmacology 21
Replace Abdullah Açar with:
Abdullah Açar Türkiye
Isola A.M. Brown United States
Morihiko Maeda Japan
Sibel Özyazgan Türkiye
Sefer Varol Türkiye
Qiangsun Zheng China
Hai‐qin Tang China
Ye Gu relative to Abdullah Açar Türkiye Abdullah Açar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ye Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ye Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201654
2 201532
3 201528
4 201922
5 201822
6 201719
7
Ageing and type 2 diabetes in an elderly Chinese population: the role of insulin resistance and beta cell dysfunction.
201416
8 201614
9 201914
10 201813
11 201813
12 201013
13 201912
14 201211
15 202210
16 20158
17 20188
18 20207
19 20207
20 20176

About Ye Gu

Ye Gu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Immunology, Epidemiology and Surgery, having authored 30 papers that have together received 356 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (7 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Traditional Chinese Medicine Analysis (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Internal Medicine (29 citations), Cardiology and Cardiovascular Medicine (154 citations), Complementary and alternative medicine (27 citations), Urology (20 citations) and Pharmacology (21 citations). Ye Gu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Lun Li, Mingjing Zhang, Yuting Wang, Xinying Wu, Hu Liqun, Yijun Yu, Cheng Zhong, Pengfei Zhu, Lan Wang and Yanling Xu. Their work appears in journals such as Frontiers in Physiology, Journal of Visualized Experiments, American Journal Of Pathology, Food Science & Nutrition and British Journal of Clinical Pharmacology.

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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