Xiaokun Ding

48 papers receiving 2.3k citations

Peers

Xiaokun Ding
Comparison fields: 5 of 125
  • Endocrine and Autonomic Systems 178
  • Hepatology 188
  • Endocrinology, Diabetes and Metabolism 349
  • Epidemiology 623
  • Immunology 271
Replace Yan Ding with:
Yan Ding China
Henk Wolters Netherlands
Mark Duxbury United States
Yibu Chen United States
Dongmei Wu China
Lars Muhl Sweden
Andrew Young United Kingdom
Nina Himmerkus Germany
Steven T. Haller United States
Yi Pan China
Xiaokun Ding relative to Yan Ding China Yan Ding's profile →
Citations per field
00.5×4.8×
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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005475
2 2007395
3 2005187
4 2004183
5 2010162
6 2013131
7 201272
8 200859
9 201252
10 202046
11 200643
12 202041
13 200840
14 202137
15 201035
16
E2F1 transactivates IQGAP3 and promotes proliferation of hepatocellular carcinoma cells through IQGAP3-mediated PKC-alpha activation.
201932
17 202029
18 201429
19 202426
20 202024

About Xiaokun Ding

Xiaokun Ding is a scholar working on Oceanography, Molecular Biology, Atmospheric Science, Health, Toxicology and Mutagenesis and Ecology, having authored 50 papers that have together received 2.3k indexed citations. Recurring topics across this work include Marine and coastal ecosystems (13 papers), Atmospheric chemistry and aerosols (10 papers), Air Quality and Health Impacts (7 papers), Marine Biology and Ecology Research (6 papers), Microbial Community Ecology and Physiology (6 papers), Glycosylation and Glycoproteins Research (5 papers), Galectins and Cancer Biology (4 papers) and Oceanographic and Atmospheric Processes (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (178 citations), Hepatology (188 citations), Endocrinology, Diabetes and Metabolism (349 citations), Epidemiology (623 citations) and Immunology (271 citations). Xiaokun Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Frank A. Anania, Neeraj K. Saxena, Songbai Lin, Shanthi Srinivasan, Dipali Sharma, Didier Merlin, Fabio Marra, Richard D. Cummings, Tongzhong Ju and Shanthi V. Sitaraman. Their work appears in journals such as The Science of The Total Environment, Environmental Pollution, Proceedings of the National Academy of Sciences, Journal of Environmental Sciences and Journal of Hazardous Materials.

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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