Yunchuan Ding

1.0k citations
12 papers · 792 · h-index 10

Impact in

Papers in

    • Glutathione Transferases and Polymorphisms 2
    • Epigenetics and DNA Methylation 1
    • Pluripotent Stem Cells Research 1
    • Mesenchymal stem cell research 4
    • Genetics and Neurodevelopmental Disorders 1
    • Diabetes and associated disorders 1

Yunchuan Ding

11 papers receiving 779 citations

Peers

Yunchuan Ding
Comparison fields: 5 of 76
  • Genetics 151
  • Insect Science 82
  • Cancer Research 79
  • Molecular Biology 376
  • Transplantation 13
Replace Keiko Hashimoto with:
Keiko Hashimoto Japan
Ehsan Janzamin Iran
S. W. Knight United Kingdom
Jihyun Kim South Korea
Petra Klemmt Germany
Satoshi Fujimura Japan
Honghui He China
Yanqiu Hu China
Tanja A.E. van Achterberg Netherlands
Guoping Fu United States
Yunchuan Ding relative to Keiko Hashimoto Japan Keiko Hashimoto's profile →
Citations per field
00.5×4.3×
Keiko Hashimoto · 1×
Citations per year

Countries citing papers authored by Yunchuan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yunchuan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2003231
2 2009216
3 201080
4
Metformin mitigates autoimmune insulitis by inhibiting Th1 and Th17 responses while promoting Treg production.
201969
5 200557
6 201454
7 201035
8 201517
9 201314
10 201810
11 20099
12 20220

About Yunchuan Ding

Yunchuan Ding is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Hematology, having authored 12 papers that have together received 792 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (4 papers), Pancreatic function and diabetes (3 papers), Glutathione Transferases and Polymorphisms (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Epigenetics and DNA Methylation (1 paper), NF-κB Signaling Pathways (1 paper), Diabetes and associated disorders (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Genetics (151 citations), Insect Science (82 citations), Cancer Research (79 citations), Molecular Biology (376 citations) and Transplantation (13 citations). Yunchuan Ding has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Janet Hemingway, Hilary Ranson, Danmei Xu, Ruth J. Muschel, Kathryn J. Wood, Andrew Bushell, Gang Feng, Chad M. McKee, Yunhong Cao and Benedikt M. Kessler. Their work appears in journals such as Cancer Research, Biochemical and Biophysical Research Communications, Diabetes, Oncotarget and Biochemical 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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