Daniel Chen

2.6k citations
17 papers · 156 · h-index 7

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Galectins and Cancer Biology 1
    • Single-cell and spatial transcriptomics 2
    • Glycosylation and Glycoproteins Research 1

Daniel Chen

12 papers receiving 154 citations

Peers

Daniel Chen
Comparison fields: 5 of 46
  • Immunology 52
  • Virology 5
  • Pathology and Forensic Medicine 17
  • Infectious Diseases 18
  • Oncology 22
Replace Jiazhen Dong with:
Jiazhen Dong China
Jez L. Marston United States
Joshua B. Bilsborrow United States
Christophe Capelle Luxembourg
Daryl E. Morris United States
Atlas Khan United States
Amélie M. Julé United States
Justin P. Whalley United Kingdom
Givanna Putri Australia
Matthew Greenig United Kingdom
Daniel Chen relative to Jiazhen Dong China Jiazhen Dong's profile →
Citations per field
00.5×11×
Jiazhen Dong · 1×
Citations per year

Countries citing papers authored by Daniel Chen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200641
2 202434
3 202225
4 201612
5 202111
6 202310
7 20219
8 20046
9 20245
10 20261
11 20251
12 20211
13 20260
14 20250
15 20260
16 20250
17 20240

About Daniel Chen

Daniel Chen is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Infectious Diseases, having authored 17 papers that have together received 156 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Single-cell and spatial transcriptomics (2 papers), CAR-T cell therapy research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Streptococcal Infections and Treatments (1 paper), Galectins and Cancer Biology (1 paper) and Bartonella species infections research (1 paper). The work is most often cited by research in Immunology (52 citations), Virology (5 citations), Pathology and Forensic Medicine (17 citations), Infectious Diseases (18 citations) and Oncology (22 citations). Daniel Chen has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Yapeng Su, James R. Heath, Zhongming Zhao, Jingchun Chen, Xiangning Chen, Jing Du, Matthew R. Lincoln, Pentti J. Tienari, Philip D. Greenberg and Avishai Shemesh. Their work appears in journals such as Cell Reports, Breast Cancer Research, The Journal of Experimental Medicine, Vector-Borne and Zoonotic Diseases and The Journal of Infectious Diseases.

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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