Dan Chen

1.5k citations
48 papers · 1.2k · h-index 15

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Dan Chen

44 papers receiving 1.2k citations

Peers

Dan Chen
Comparison fields: 5 of 93
  • Transplantation 38
  • Immunology 307
  • Biological Psychiatry 25
  • Hepatology 68
  • Cancer Research 130
Replace Shuyun Xu with:
Shuyun Xu United States
Karen T. Y. Shaw United States
Jessica J. Howell United States
Qinghua Wang China
Bounleut Phanavanh United States
Mauro Montalbano United States
Gregory Orloff United States
Mathieu Armanet France
Gongxiong Wu United States
Kim Ravnskjær Denmark
Dan Chen relative to Shuyun Xu United States Shuyun Xu's profile →
Citations per field
00.5×2.7×
Shuyun Xu · 1×
Citations per year

Countries citing papers authored by Dan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009337
2 2007181
3 199784
4 202060
5 201359
6 201744
7 201938
8 201835
9 201532
10 201031
11 201528
12 201525
13 202319
14 201917
15 201914
16 198412
17 202211
18 201711
19 201511
20 202510

About Dan Chen

Dan Chen is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Oncology and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Pneumonia and Respiratory Infections (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Receptor Mechanisms and Signaling (2 papers), Sleep and Wakefulness Research (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Transplantation (38 citations), Immunology (307 citations), Biological Psychiatry (25 citations), Hepatology (68 citations) and Cancer Research (130 citations). Dan Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiong‐Zhi Wu, Jonathan S. Bromberg, Nan Zhang, Claudia Jakubzick, Jordi Ochando, Girdhari Lal, Xia Mao, Yaozhong Ding, Na Yin and Rolf Jessberger. Their work appears in journals such as Scientific Reports, Nature Communications, Cell Death Discovery, American Journal of Transplantation and Molecular Psychiatry.

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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