David Bending

1.9k citations
32 papers · 1.3k · h-index 16

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Psoriasis: Treatment and Pathogenesis
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
    • IL-33, ST2, and ILC Pathways
  • Genetics top 10%
    • Diabetes and associated disorders

Papers in

    • Immune Cell Function and Interaction 16
    • T-cell and B-cell Immunology 13
    • Immunotherapy and Immune Responses 6
    • CAR-T cell therapy research 7
    • Cancer Immunotherapy and Biomarkers 3

David Bending

29 papers receiving 1.3k citations

Peers

David Bending
Comparison fields: 5 of 87
  • Immunology 921
  • Genetics 209
  • Hematology 78
  • Oncology 180
  • Biological Psychiatry 16
Replace Stacey N. Harbour with:
Stacey N. Harbour Australia
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Marion Salou France
Yufeng Peng United States
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David Bending relative to Stacey N. Harbour Australia Stacey N. Harbour's profile →
Citations per field
00.5×1.5×
Stacey N. Harbour · 1×
Citations per year

Countries citing papers authored by David Bending

Since Specialization
Citations

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

Fields of papers citing papers by David Bending

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009430
2 2013128
3 201385
4 202275
5 201860
6 202058
7 201456
8 201253
9 201151
10 202250
11 201449
12 202138
13 201834
14 201521
15 201817
16 201817
17 202215
18 202313
19 201810
20 20238

About David Bending

David Bending is a scholar working on Immunology, Oncology, Molecular Biology, Genetics and Hematology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (13 papers), CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (6 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Nuclear Receptors and Signaling (4 papers), Diabetes and associated disorders (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Immunology (921 citations), Genetics (209 citations), Hematology (78 citations), Oncology (180 citations) and Biological Psychiatry (16 citations). David Bending has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Anne Cooke, Brigitta Stockinger, Jenny M. Phillips, Catherine Uyttenhove, Hugo De La Peña, Marc Veldhoen, Lucy R. Wedderburn, Anne M. Pesenacker, Kiran Nistala and Masahiro Ono. Their work appears in journals such as The Journal of Immunology, Cell Reports, Arthritis & Rheumatology, iScience and Pediatric Rheumatology.

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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