Xiaokun Ding

48 papers receiving 2.4k citations

Peers

Xiaokun Ding
Comparison fields: 5 of 129
  • Endocrine and Autonomic Systems 183
  • Hepatology 201
  • Endocrinology, Diabetes and Metabolism 363
  • Epidemiology 662
  • Immunology 283
Replace Yan Ding with:
Yan Ding China
Lixin Li China
Tomoaki Tanaka Japan
Mark S. Duxbury United States
Yuji Tanaka Japan
Dongmei Wu China
Yibu Chen United States
Yi Pan China
Steven T. Haller United States
Nina Himmerkus Germany
Xiaokun Ding relative to Yan Ding China Yan Ding's profile →
Citations per field
00.5×2×3×4×4.9×
Yan Ding · 1×
Citations per year

Countries citing papers authored by Xiaokun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005486
2 2007409
3 2005203
4 2004190
5 2010171
6 2013138
7 201278
8 200863
9 201256
10 202049
11 200643
12 200842
13 202041
14 202138
15 201037
16
E2F1 transactivates IQGAP3 and promotes proliferation of hepatocellular carcinoma cells through IQGAP3-mediated PKC-alpha activation.
201932
17 201429
18 202029
19 202428
20 202025

About Xiaokun Ding

Xiaokun Ding is a scholar working on Oceanography, Atmospheric Science, Health, Toxicology and Mutagenesis, Ecology and Molecular Biology, having authored 51 papers that have together received 2.4k indexed citations. Recurring topics across this work include Marine and coastal ecosystems (13 papers), Atmospheric chemistry and aerosols (9 papers), Air Quality and Health Impacts (6 papers), Microbial Community Ecology and Physiology (6 papers), Marine Biology and Ecology Research (6 papers), Glycosylation and Glycoproteins Research (5 papers), Oceanographic and Atmospheric Processes (4 papers) and Galectins and Cancer Biology (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (183 citations), Hepatology (201 citations), Endocrinology, Diabetes and Metabolism (363 citations), Epidemiology (662 citations) and Immunology (283 citations). Xiaokun Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Frank A. Anania, Neeraj Kumar Saxena, Songbai Lin, Shanthi Srinivasan, Fabio Marra, Didier Merlin, Dipali Sharma, Tongzhong Ju, Richard D. Cummings and Shanthi V. Sitaraman. Their work appears in journals such as The Science of The Total Environment, Journal of Geophysical Research Atmospheres, Journal of Hazardous Materials, Proceedings of the National Academy of Sciences and Journal of Environmental Sciences.

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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