Xiaokai Ding

563 citations
24 papers · 338 · h-index 12

Impact in

  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Amyotrophic Lateral Sclerosis Research

Papers in

    • Renal Diseases and Glomerulopathies 9
    • Dialysis and Renal Disease Management 1
    • Systemic Lupus Erythematosus Research 5

Xiaokai Ding

23 papers receiving 334 citations

Peers

Xiaokai Ding
Comparison fields: 5 of 53
  • Nephrology 86
  • Neurology 22
  • Rheumatology 37
  • Cancer Research 35
  • Pathology and Forensic Medicine 30
Replace Jianglei Chen with:
Jianglei Chen United States
Ruimin Hu China
Guomin Li China
Nicolle M. Ceneri United States
Patricia Q. Rodriguez Sweden
Corey Dussold United States
Purba Biswas United States
Menghui Yao China
Kuiqing Li China
Ron D. Krofft United States
Xiaokai Ding relative to Jianglei Chen United States Jianglei Chen's profile →
Citations per field
00.5×2×4×6.5×
Jianglei Chen · 1×
Citations per year

Countries citing papers authored by Xiaokai Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokai Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202538
2 202330
3 201727
4 201925
5 202225
6 201424
7 202123
8 202021
9 201916
10 201915
11 200912
12 202312
13 202411
14 202010
15 202310
16 20208
17 20218
18 20206
19 20175
20 20215

About Xiaokai Ding

Xiaokai Ding is a scholar working on Nephrology, Rheumatology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Molecular Biology, having authored 24 papers that have together received 338 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (9 papers), Systemic Lupus Erythematosus Research (5 papers), Ubiquitin and proteasome pathways (3 papers), Tuberous Sclerosis Complex Research (2 papers), Vasculitis and related conditions (2 papers), Advanced Breast Cancer Therapies (2 papers), MicroRNA in disease regulation (2 papers) and Dialysis and Renal Disease Management (1 paper). The work is most often cited by research in Nephrology (86 citations), Neurology (22 citations), Rheumatology (37 citations), Cancer Research (35 citations) and Pathology and Forensic Medicine (30 citations). Xiaokai Ding has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Chaosheng Chen, Jianna Zhang, Ying Zhou, Ji Zhang, Bo Chen, Xinxin Chen, Duo Li, Ting Chen, Xinyu Shi and Shujuan Zhou. Their work appears in journals such as BMC Nephrology, Proceedings of the National Academy of Sciences, Renal Failure, Acta Neurologica Scandinavica and Epigenomics.

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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