David E. Gilham

5.0k citations
90 papers · 3.7k indexed · h-index 35
  • Oncology top 0.5%
    • CAR-T cell therapy research 77
    • Cancer Immunotherapy and Biomarkers 8
  • Immunology top 1%
    • Immune Cell Function and Interaction 35
    • Immunotherapy and Immune Responses 26
    • T-cell and B-cell Immunology 14
  • Genetics top 2%
    • Virus-based gene therapy research 17
    • Nanowire Synthesis and Applications 9
    • Viral Infectious Diseases and Gene Expression in Insects 16

David E. Gilham

90 papers receiving 3.6k citations

Peers

David E. Gilham
Comparison fields: 5 of 99
  • Oncology 3.0k
  • Immunology 1.6k
  • Genetics 808
  • Biomedical Engineering 861
  • Molecular Biology 1.1k
Replace Nicole M. Haynes with:
Nicole M. Haynes Australia
Andreas Hombach Germany
Sid P. Kerkar United States
Andrew Kaiser Germany
Yun Ji United States
Jill M. Fritz United States
Madhusudan V. Peshwa United States
Stefanie R. Bailey United States
Angelica Loskog Sweden
Douglas G. McNeel United States
David E. Gilham relative to Nicole M. Haynes Australia Nicole M. Haynes's profile →
Citations per field
00.5×1.5×2.2×
Nicole M. Haynes · 1×
Citations per year

Countries citing papers authored by David E. Gilham

Since Specialization
Citations

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

Fields of papers citing papers by David E. Gilham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202058
2 201846
3 201742
4 201717
5 2017135
6 201515
7 20142
8 20148
9 20117
10 201061
11 2010201
12 201084
13 201090
14 200899
15 200833
16 200624
17 200646
18 200464
19 200315
20 199631

About David E. Gilham

David E. Gilham is a scholar working on Oncology, Immunology and Genetics, having authored 90 papers that have together received 3.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (77 papers), Immune Cell Function and Interaction (35 papers), Immunotherapy and Immune Responses (26 papers), Virus-based gene therapy research (17 papers), Viral Infectious Diseases and Gene Expression in Insects (16 papers), T-cell and B-cell Immunology (14 papers), Nanowire Synthesis and Applications (9 papers) and Cancer Immunotherapy and Biomarkers (8 papers). The work is most often cited by research in Oncology (3.0k citations), Immunology (1.6k citations) and Genetics (808 citations). David E. Gilham has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Robert E. Hawkins, Eleanor J. Cheadle, John S. Bridgeman, Hinrich Abken, Dominic G. Rothwell, Peter L. Stern, Н. А. Кириллова, Gray Kueberuwa, Ryan D. Guest and Richard W. Griffiths. Their work appears in journals such as Cancer Immunology Immunotherapy, The Journal of Immunology, Journal of Immunotherapy, Journal of Clinical Oncology and Blood.

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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