Ding‐I Yang

3.0k citations
66 papers · 2.6k · h-index 31

Impact in

Papers in

    • Mitochondrial Function and Pathology 11
    • Epigenetics and DNA Methylation 8
    • Sphingolipid Metabolism and Signaling 6
    • Nitric Oxide and Endothelin Effects 8
    • Alzheimer's disease research and treatments 6

Ding‐I Yang

65 papers receiving 2.5k citations

Peers

Ding‐I Yang
Comparison fields: 5 of 112
  • Neurology 376
  • Developmental Neuroscience 176
  • Biological Psychiatry 83
  • Geriatrics and Gerontology 114
  • Physiology 625
Replace Julien Puyal with:
Julien Puyal Switzerland
Juan Pablo Muñoz Spain
Luigi Formisano Italy
Qulian Guo China
Jenq‐Lin Yang Taiwan
Armando P. Signore United States
Seong-Woon Yu South Korea
Marina Benarese Italy
Zhou Fei China
Ding‐I Yang relative to Julien Puyal Switzerland Julien Puyal's profile →
Citations per field
00.5×1.5×
Julien Puyal · 1×
Citations per year

Countries citing papers authored by Ding‐I Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ding‐I Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011289
2 2004246
3 2017199
4 200295
5 200591
6 200963
7 201359
8 201558
9 201358
10 200158
11 202256
12 201654
13 200653
14 201053
15 200551
16 201251
17 201945
18 200645
19 200044
20 201442

About Ding‐I Yang

Ding‐I Yang is a scholar working on Molecular Biology, Physiology, Cancer Research, Epidemiology and Neurology, having authored 66 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (11 papers), Cancer, Hypoxia, and Metabolism (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Nitric Oxide and Endothelin Effects (8 papers), Epigenetics and DNA Methylation (8 papers), Autophagy in Disease and Therapy (8 papers), Sphingolipid Metabolism and Signaling (6 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Neurology (376 citations), Developmental Neuroscience (176 citations), Biological Psychiatry (83 citations), Geriatrics and Gerontology (114 citations) and Physiology (625 citations). Ding‐I Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shang‐Der Chen, Chia‐Lin Wu, Tsu‐Kung Lin, Chung Y. Hsu, Yao‐Chung Chuang, Jiu‐Haw Yin, Chia‐Wei Liou, Tz‐Chuen Ju, Fu-Zen Shaw and Jan Xu. Their work appears in journals such as International Journal of Molecular Sciences, Annals of the New York Academy of Sciences, Free Radical Biology and Medicine, Molecular Neurobiology and Biochemical and Biophysical Research Communications.

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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