Bing Du

4.9k citations
100 papers · 2.8k · 1 hit paper · h-index 32

Impact in

  • Physiology top 1%
    • Adenosine and Purinergic Signaling
    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Immune Cell Function and Interaction 11
    • Immune cells in cancer 8
    • Immune Response and Inflammation 6
    • interferon and immune responses 5

Bing Du

94 papers receiving 2.7k citations

Hit Papers

CAR-T therapy in solid tumors 2025 · 44 citations
440Years since publication10203040

Peers

Bing Du
Comparison fields: 5 of 135
  • Physiology 296
  • Infectious Diseases 483
  • Immunology 548
  • Molecular Biology 1.3k
  • Oncology 458
Replace Fengyi Wan with:
Fengyi Wan United States
Helen M. Marriott United Kingdom
Stephen Hatfield United States
Mario Mauthe Netherlands
Cristina Bonorino Brazil
Chih‐Peng Chang Taiwan
Jorge Lloberas Spain
Li Zhou China
Otília V. Vieira Portugal
Hang Thi Thu Nguyen United States
Bing Du relative to Fengyi Wan United States Fengyi Wan's profile →
Citations per field
00.5×10×15×21×
Fengyi Wan · 1×
Citations per year

Countries citing papers authored by Bing Du

Since Specialization
Citations

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

Fields of papers citing papers by Bing Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020375
2 2018132
3 2012110
4 202083
5 201181
6 201179
7 201376
8 200873
9 201071
10 202068
11 201065
12 201764
13 202063
14 201058
15 201456
16 200853
17 201451
18 202245
19 201545
20
CAR-T therapy in solid tumors
Hit paper breakdown →
202544

About Bing Du

Bing Du is a scholar working on Molecular Biology, Immunology, Oncology, Physiology and Cancer Research, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (15 papers), CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (11 papers), Immune cells in cancer (8 papers), Immune Response and Inflammation (6 papers), Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and interferon and immune responses (5 papers). The work is most often cited by research in Physiology (296 citations), Infectious Diseases (483 citations), Immunology (548 citations), Molecular Biology (1.3k citations) and Oncology (458 citations). Bing Du has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Min Qian, Mingyao Liu, Hua Ren, Juliang Qin, Honghui Han, Binghe Tan, Ziqiang Wang, Guanhua Xue, Jing Yuan and Chao Yan. Their work appears in journals such as The Journal of Immunology, Microbiology Spectrum, Science China Life Sciences, Scientific Reports and Frontiers in 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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