Binghe Tan

1.4k citations
18 papers · 609 · 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

    • CAR-T cell therapy research 6
    • Cancer Immunotherapy and Biomarkers 2
    • Immune Cell Function and Interaction 4
    • Immune cells in cancer 4

Binghe Tan

17 papers receiving 600 citations

Peers

Binghe Tan
Comparison fields: 5 of 73
  • Physiology 124
  • Immunology 230
  • Oncology 174
  • Cancer Research 58
  • Endocrine and Autonomic Systems 22
Replace Valéa Schumacher with:
Valéa Schumacher Germany
Dominique Fernández Chile
Caroline Schönfeld Germany
Andrea Romagnani Switzerland
Fethia Ben Yebdri Canada
Pei‐Chun Hsueh Taiwan
Cameron S. Field New Zealand
Rosita Rigoni Italy
Surjit K. Datta United States
Guo-Tong Xu China
Binghe Tan relative to Valéa Schumacher Germany Valéa Schumacher's profile →
Citations per field
00.5×5.5×
Valéa Schumacher · 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

18 of 18 papers shown
#Work
1 2018133
2 202068
3 201456
4 201451
5 202348
6 201637
7 201334
8 201632
9 201229
10 202429
11 202223
12 202421
13 201718
14 201913
15 202511
16 20254
17 20252
18 20250

About Binghe Tan

Binghe Tan is a scholar working on Oncology, Immunology, Molecular Biology, Physiology and Epidemiology, having authored 18 papers that have together received 609 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Adenosine and Purinergic Signaling (4 papers), Immune Cell Function and Interaction (4 papers), Immune cells in cancer (4 papers), Cancer Immunotherapy and Biomarkers (2 papers), Epigenetics and DNA Methylation (1 paper), Virology and Viral Diseases (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Physiology (124 citations), Immunology (230 citations), Oncology (174 citations), Cancer Research (58 citations) and Endocrine and Autonomic Systems (22 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, Honghui Han, Xiaoyu Zhang, Stefan Siwko and Kendra S. Carmon. Their work appears in journals such as Journal of Biological Chemistry, Molecular Therapy, The Journal of Immunology, Med and Advanced Science.

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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