Dian He

1.1k citations
51 papers · 690 · h-index 16

Impact in

    • Multiple Sclerosis Research Studies
  • Neurology top 5%
    • Peripheral Neuropathies and Disorders
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Myasthenia Gravis and Thymoma

Papers in

Dian He

46 papers receiving 674 citations

Peers

Dian He
Comparison fields: 5 of 78
  • Pathology and Forensic Medicine 351
  • Neurology 164
  • Neurology 65
  • Developmental Neuroscience 27
  • Biological Psychiatry 8
Replace Barbara Teter with:
Barbara Teter United States
M. Boggild United Kingdom
Vita Direnzo Italy
Regina Berkovich United States
G. Niederwieser Austria
Astrid Edland Norway
Steffen Haupeltshofer Germany
Alexandru Tatomir United States
Chun‐Che Chu Taiwan
V. Argentiero Italy
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Citations per field
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Citations per year

Countries citing papers authored by Dian He

Since Specialization
Citations

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

Fields of papers citing papers by Dian He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dian He, 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 Dian He Line = papers co-authored together Dian He 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 201184
2 201582
3 201653
4 201142
5 201341
6 201638
7 201137
8 201536
9 201132
10 201330
11 201728
12 201721
13 202419
14 202317
15 201717
16 201915
17 201513
18 20128
19 20118
20 20226

About Dian He

Dian He is a scholar working on Pathology and Forensic Medicine, Neurology, Obstetrics and Gynecology, Molecular Biology and Neurology, having authored 51 papers that have together received 690 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (13 papers), Peripheral Neuropathies and Disorders (4 papers), Alzheimer's disease research and treatments (3 papers), Gestational Diabetes Research and Management (3 papers), Pregnancy and preeclampsia studies (3 papers), Birth, Development, and Health (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Autoimmune and Inflammatory Disorders Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (351 citations), Neurology (164 citations), Neurology (65 citations), Developmental Neuroscience (27 citations) and Biological Psychiatry (8 citations). Dian He has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Shuai Dong, Hongyu Zhou, Lan Chu, Qingqing Dai, Xu Zhu, Gang Cai, Chao Zhang, Feng Zhang, Xiuying Chen and Qizhu Wu. Their work appears in journals such as Cochrane Database of Systematic Reviews, PLoS ONE, Neurology, American Journal of Obstetrics and Gynecology and OMICS A Journal of Integrative Biology.

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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