Ye Ding

35 papers receiving 1.7k citations

Ye Ding's Hit Papers

Hyperglycemia-Driven Inhibition of AMP-Activated Protein Kinase α2 Induces Diabetic Cardiomyopathy by Promoting Mitochondria-Associated Endoplasmic Reticulum Membranes In Vivo 2019 · 236 citations
2360+2+4Years since publication50100150200

Peers

Ye Ding
Comparison fields: 5 of 111
  • Biochemistry 139
  • Geriatrics and Gerontology 44
  • Cancer Research 176
  • Oncology 313
  • Cell Biology 184
Replace Alvin Denenberg with:
Alvin Denenberg United States
Tomonaga Ichikawa Japan
Marthandam Asokan Shibu Taiwan
Yuanyuan Zheng China
Ho Lin Taiwan
Sang‐Wook Kang South Korea
Arion Kennedy United States
Guang Xu China
Yoosik Yoon South Korea
Ye Ding relative to Alvin Denenberg United States Alvin Denenberg's profile →
Citations per field
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Alvin Denenberg · 1×
Citations per year

Countries citing papers authored by Ye Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ye Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002450
2
Hyperglycemia-Driven Inhibition of AMP-Activated Protein Kinase α2 Induces Diabetic Cardiomyopathy by Promoting Mitochondria-Associated Endoplasmic Reticulum Membranes In Vivo
Hit paper breakdown →
2019236
3 2012110
4 201184
5 202074
6 201268
7 201766
8 201166
9 201360
10 201756
11 201447
12 201142
13 201138
14 201334
15 200934
16 201233
17 201927
18 201924
19 201224
20 201523

About Ye Ding

Ye Ding is a scholar working on Physiology, Molecular Biology, Epidemiology, Geriatrics and Gerontology and Pharmacology, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (4 papers), Spaceflight effects on biology (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Hepatitis B Virus Studies (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Hepatitis C virus research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Biochemistry (139 citations), Geriatrics and Gerontology (44 citations), Cancer Research (176 citations), Oncology (313 citations) and Cell Biology (184 citations). Ye Ding has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yong Li, Xiaoqian Dai, Ming‐Hui Zou, Zhaofeng Zhang, Isabelle Bedrosian, Michael Lowe, Susan L. Tucker, Thomas A. Buchholz, Wendy M. Toyofuku and Matthew D. Callister. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Avian Pathology, Arteriosclerosis Thrombosis and Vascular Biology, Brazilian Journal of Medical and Biological Research and PLoS ONE.

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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