Kan Ding

3.2k citations
60 papers · 2.3k · h-index 19

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Neurology top 2%
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Autoimmune Neurological Disorders and Treatments

Papers in

Kan Ding

56 papers receiving 2.3k citations

Peers

Kan Ding
Comparison fields: 5 of 120
  • Cancer Research 536
  • Neurology 494
  • Developmental Neuroscience 113
  • Cellular and Molecular Neuroscience 364
  • Psychiatry and Mental health 273
Replace Theresa A. Lusardi with:
Theresa A. Lusardi United States
Tomio Sasaki Japan
I.F.M. de Coo Netherlands
Omolara O. Ogunshola Switzerland
Annie Laquerrière France
Maria Liguori Italy
Adam M. H. Young United Kingdom
Grazia Paola Nicchia Italy
Lawrence M. Shuer United States
Iver A. Langmoen Norway
Kan Ding relative to Theresa A. Lusardi United States Theresa A. Lusardi's profile →
Citations per field
00.5×1.5×1.9×
Theresa A. Lusardi · 1×
Citations per year

Countries citing papers authored by Kan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Kan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003407
2 2001388
3 2003219
4 2004187
5 2008151
6 2017150
7 2008100
8 200779
9 201475
10 201775
11 200570
12 201542
13 200833
14 200532
15 201730
16 201924
17 201823
18 202021
19 202019
20 202314

About Kan Ding

Kan Ding is a scholar working on Neurology, Psychiatry and Mental health, Epidemiology, Molecular Biology and Cognitive Neuroscience, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Epilepsy research and treatment (17 papers), Traumatic Brain Injury Research (16 papers), Traumatic Brain Injury and Neurovascular Disturbances (14 papers), Cardiac Arrest and Resuscitation (9 papers), EEG and Brain-Computer Interfaces (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Cancer Research (536 citations), Neurology (494 citations), Developmental Neuroscience (113 citations), Cellular and Molecular Neuroscience (364 citations) and Psychiatry and Mental health (273 citations). Kan Ding has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Lin Gan, Joseph A. Garcia, Yavuz Oktay, Marzia Scortegagna, Michael J. Bennett, James A. Richardson, John M. Shelton, William H. Klein, Steven W. Wang and Huan Wang. Their work appears in journals such as Journal of Clinical Neurophysiology, Epilepsy & Behavior, Journal of Neurotrauma, Journal of Biological Chemistry and Investigative Ophthalmology & Visual Science.

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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