Binghe Tan

1.3k citations
17 papers · 580 · h-index 14

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Phagocytosis and Immune Regulation
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 6
    • Immune cells in cancer 4
    • T-cell and B-cell Immunology 3
    • Epigenetics and DNA Methylation 2

Binghe Tan

17 papers receiving 572 citations

Peers

Binghe Tan
Comparison fields: 5 of 77
  • Physiology 123
  • Immunology 252
  • Oncology 182
  • Cancer Research 66
  • Endocrine and Autonomic Systems 24
Replace Cheryl de Vallière with:
Cheryl de Vallière Switzerland
Dominique Fernández Chile
Valéa Schumacher Germany
Xiaojun Meng China
Andrea Romagnani Switzerland
Cameron S. Field New Zealand
Mary Cherian‐Shaw United States
Nathaniel K. Berg United States
Sachiko Iwaki-Egawa Japan
Surjit K. Datta United States
Binghe Tan relative to Cheryl de Vallière Switzerland Cheryl de Vallière's profile →
Citations per field
00.5×3.8×
Cheryl de Vallière · 1×
Citations per year

Countries citing papers authored by Binghe Tan

Since Specialization
Citations

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

Fields of papers citing papers by Binghe Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2018132
2 202063
3 201456
4 201451
5 202340
6 201636
7 201333
8 201631
9 201229
10 202424
11 202222
12 202420
13 201718
14 201913
15 20258
16 20253
17 20251

About Binghe Tan

Binghe Tan is a scholar working on Immunology, Molecular Biology, Oncology, Physiology and Epidemiology, having authored 17 papers that have together received 580 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), CAR-T cell therapy research (5 papers), Adenosine and Purinergic Signaling (4 papers), Immune cells in cancer (4 papers), T-cell and B-cell Immunology (3 papers), Virus-based gene therapy research (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Physiology (123 citations), Immunology (252 citations), Oncology (182 citations), Cancer Research (66 citations) and Endocrine and Autonomic Systems (24 citations). Binghe Tan has collaborated with scholars based in China, United States and France. Frequent co-authors include Mingyao Liu, Bing Du, Min Qian, Juliang Qin, Hua Ren, Na Zhang, Xiaoyu Zhang, Honghui Han, Stefan Siwko and Qingyun Liu. Their work appears in journals such as Molecular Therapy, Journal of Biological Chemistry, The Journal of Immunology, European Journal of Medicinal Chemistry and Cellular and Molecular Immunology.

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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