Yan Ding

5.5k citations
152 papers · 3.4k indexed · h-index 35

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Intracerebral and Subarachnoid Hemorrhage Research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Immune Response and Inflammation 11
    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 9
    • Intracerebral and Subarachnoid Hemorrhage Research 9

Yan Ding

143 papers receiving 3.4k citations

Peers

Yan Ding
Comparison fields: 5 of 140
  • Neurology 330
  • Immunology 730
  • Developmental Neuroscience 99
  • Molecular Biology 1.5k
  • Oncology 580
Replace Akihito Ishigami with:
Akihito Ishigami Japan
Nausicaa Clemente Italy
Chiara Dianzani Italy
Mohammad R. Siddiqui United States
Xiao‐Kang Li Japan
Khiem A. Tran United States
Chaekyun Kim South Korea
Xing Wei China
Lihua Li China
Jin Hee Kim South Korea
Yan Ding relative to Akihito Ishigami Japan Akihito Ishigami's profile →
Citations per field
00.5×3.3×
Akihito Ishigami · 1×
Citations per year

Countries citing papers authored by Yan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020139
2 2006130
3 2019129
4 2004129
5 2018101
6 201998
7 201098
8 201397
9 202080
10 202075
11 201869
12 201868
13 200662
14 201856
15 200452
16 201851
17 201850
18 201950
19 201550
20 201248

About Yan Ding

Yan Ding is a scholar working on Immunology, Neurology, Molecular Biology, Biochemistry and Oncology, having authored 152 papers that have together received 3.4k indexed citations. Recurring topics across this work include Immune Response and Inflammation (11 papers), Immune Cell Function and Interaction (10 papers), Malaria Research and Control (10 papers), T-cell and B-cell Immunology (9 papers), Intracerebral and Subarachnoid Hemorrhage Research (9 papers), Mosquito-borne diseases and control (9 papers), Drug Transport and Resistance Mechanisms (8 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Neurology (330 citations), Immunology (730 citations), Developmental Neuroscience (99 citations), Molecular Biology (1.5k citations) and Oncology (580 citations). Yan Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include John H. Zhang, Jiping Tang, Liwu Fu, Wang Liao, Ningbo Xu, Wei Xiang, Jian Ma, Ruiqing Wang, Zuoming Sun and Wenyue Xu. Their work appears in journals such as Biomedicine & Pharmacotherapy, Journal of Neuroinflammation, Experimental Neurology, PLoS ONE and The Journal of Immunology.

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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