Xiaohan Chen

1.3k citations
22 papers · 944 · h-index 13

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Psoriasis: Treatment and Pathogenesis
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders
    • Multiple Sclerosis Research Studies

Papers in

    • Single-cell and spatial transcriptomics 5
    • Bioinformatics and Genomic Networks 3
    • Extracellular vesicles in disease 2
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 2
    • Immunotherapy and Immune Responses 2

Xiaohan Chen

20 papers receiving 917 citations

Peers

Xiaohan Chen
Comparison fields: 5 of 83
  • Immunology 592
  • Pathology and Forensic Medicine 202
  • Neurology 80
  • Oncology 199
  • Biological Psychiatry 17
Replace Alison O’Mahony with:
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Citations per field
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Citations per year

Countries citing papers authored by Xiaohan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002307
2 2003250
3 200370
4 202255
5 200451
6 202146
7 202145
8 200426
9 202020
10 201616
11 202114
12 202012
13 202312
14 20206
15 20225
16
Effect of several baits on the gonadal development in Penaeus vannamei Boone parent prawn.
20113
17 20082
18 20152
19 20251
20 20221

About Xiaohan Chen

Xiaohan Chen is a scholar working on Molecular Biology, Immunology, Cancer Research, Rheumatology and Computational Theory and Mathematics, having authored 22 papers that have together received 944 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), T-cell and B-cell Immunology (4 papers), Bioinformatics and Genomic Networks (3 papers), Computational Drug Discovery Methods (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Genomics and Diagnostics (2 papers), Extracellular vesicles in disease (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (592 citations), Pathology and Forensic Medicine (202 citations), Neurology (80 citations), Oncology (199 citations) and Biological Psychiatry (17 citations). Xiaohan Chen has collaborated with scholars based in China and United States. Frequent co-authors include Guang‐Xian Zhang, Abdolmohamad Rostami, Bruno Gran, Shuo Yu, Malek Kamoun, Jifen Li, Elvira Ventura, Ines Siglienti, Qi Liu and Chen Tang. Their work appears in journals such as The Journal of Immunology, Journal of Neuroimmunology, Genomics Proteomics & Bioinformatics, Nature Methods and Human Molecular Genetics.

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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