Eric S. Chen

1.2k citations
14 papers · 709 · h-index 10

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Cancer Immunotherapy and Biomarkers

Papers in

    • T-cell and B-cell Immunology 2
    • Immune cells in cancer 2
    • Immune Cell Function and Interaction 2
    • Neuroinflammation and Neurodegeneration Mechanisms 2

Eric S. Chen

14 papers receiving 695 citations

Peers

Eric S. Chen
Comparison fields: 5 of 94
  • Immunology 275
  • Oncology 172
  • Molecular Medicine 30
  • Biomaterials 72
  • Molecular Biology 226
Replace Changzheng Li with:
Changzheng Li China
Athar Aziz United Kingdom
Huiping Lu China
Yanchun Quan China
Dongchun Liang China
Lesley L. Young United Kingdom
Ziying Fei China
Francesca Marta Perrone Italy
Shiguo Zhu China
Eric S. Chen relative to Changzheng Li China Changzheng Li's profile →
Citations per field
00.5×2×3×3.8×
Changzheng Li · 1×
Citations per year

Countries citing papers authored by Eric S. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018319
2 2009153
3 202166
4 202157
5 200822
6 201220
7 201818
8 201914
9 202213
10 202213
11 20017
12 20255
13
Circular RNA CircPRMT5 Accelerates Proliferation and Invasion of Papillary Thyroid Cancer Through Regulation of miR-30c/E2F3 Axis
20201
14 19971

About Eric S. Chen

Eric S. Chen is a scholar working on Immunology, Neurology, Molecular Biology, Cancer Research and Virology, having authored 14 papers that have together received 709 indexed citations. Recurring topics across this work include Graphene and Nanomaterials Applications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), T-cell and B-cell Immunology (2 papers), Epigenetics and DNA Methylation (2 papers), Gut microbiota and health (2 papers), Immune cells in cancer (2 papers), Immune Cell Function and Interaction (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Immunology (275 citations), Oncology (172 citations), Molecular Medicine (30 citations), Biomaterials (72 citations) and Molecular Biology (226 citations). Eric S. Chen has collaborated with scholars based in United States, China and France. Frequent co-authors include Dmitry I. Gabrilovich, Jérôme Mastio, Evgenii N. Tcyganov, Eben Alsberg, Melissa D. Krebs, Chengcheng Jin, Chen Ning Zhao, Qiang G Dong, Wei‐Chun Chin and Richard S. Blumberg. Their work appears in journals such as Current Opinion in Immunology, Science, Journal of Biomedical Materials Research Part A, Cancer Immunology Research and Journal of Clinical Investigation.

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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