YI Ding-hua

1.3k citations
31 papers · 1.0k · h-index 15

Impact in

Papers in

YI Ding-hua

31 papers receiving 1.0k citations

Peers

YI Ding-hua
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 83
  • Cardiology and Cardiovascular Medicine 263
  • Aging 16
  • Biomaterials 104
  • Biochemistry 54
Replace Fumihiro Sanada with:
Fumihiro Sanada Japan
Qinhua Jin China
Yuichi Akasaki Japan
Kazumasa Unno Japan
Maaike Schilperoort Netherlands
Estíbaliz Castillero United States
Eleonora Mondini Italy
Tien‐Hung Huang Taiwan
YI Ding-hua relative to Fumihiro Sanada Japan Fumihiro Sanada's profile →
Citations per field
00.5×2.9×
Fumihiro Sanada · 1×
Citations per year

Countries citing papers authored by YI Ding-hua

Since Specialization
Citations

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

Fields of papers citing papers by YI Ding-hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by YI Ding-hua. 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 YI Ding-hua. The network helps show where YI Ding-hua may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014150
2 2013132
3 2013124
4 201085
5 200982
6 201867
7 201957
8 201156
9 201045
10 202030
11 201225
12 200817
13 200615
14 202115
15 201315
16 201014
17 200813
18 202013
19 202112
20 201012

About YI Ding-hua

YI Ding-hua is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (6 papers), Cardiac Ischemia and Reperfusion (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Aortic aneurysm repair treatments (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (83 citations), Cardiology and Cardiovascular Medicine (263 citations), Aging (16 citations), Biomaterials (104 citations) and Biochemistry (54 citations). YI Ding-hua has collaborated with scholars based in China and United States. Frequent co-authors include Wei Yi, Yang Sun, Erhe Gao, Xinliang Ma, Wayne Bond Lau, Shiqiang Yu, Jinzhou Zhang, Bijun Zhao, Yan Qu and Shouyin Di. Their work appears in journals such as The Heart Surgery Forum, Cell Death and Disease, European Heart Journal, Journal of Pineal Research and Emergency Medicine Journal.

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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