Daniel Fowler

617 citations
18 papers · 497 · h-index 10

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 9
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 7
    • CAR-T cell therapy research 2

Daniel Fowler

17 papers receiving 490 citations

Peers

Daniel Fowler
Comparison fields: 5 of 58
  • Immunology 248
  • Oncology 244
  • Hepatology 19
  • Otorhinolaryngology 8
  • Pharmacology 26
Replace Yoshiyuki Kiyasu with:
Yoshiyuki Kiyasu Japan
Dmitrij Ostroumov Germany
Camilla Rydberg Millrud Sweden
Isabel Longo Spain
Xiaopin Ji China
Hassan Sadozai Canada
Shaoyan Cheng China
Alexis Scherl United States
Lijie Yin China
Daniel Fowler relative to Yoshiyuki Kiyasu Japan Yoshiyuki Kiyasu's profile →
Citations per field
00.5×5.2×
Yoshiyuki Kiyasu · 1×
Citations per year

Countries citing papers authored by Daniel Fowler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Fowler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Daniel Fowler, 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 Daniel Fowler Line = papers co-authored together Daniel Fowler links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2009299
2 201145
3 201027
4 201419
5 201718
6 201417
7 202110
8 202010
9 201210
10 20119
11 20109
12 20116
13 20136
14 20214
15 20144
16 20103
17 20091
18 20250

About Daniel Fowler

Daniel Fowler is a scholar working on Immunology, Oncology, Genetics, Molecular Biology and Pharmacology, having authored 18 papers that have together received 497 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (2 papers), Virus-based gene therapy research (2 papers), Cancer Mechanisms and Therapy (1 paper), Mycobacterium research and diagnosis (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Immunology (248 citations), Oncology (244 citations), Hepatology (19 citations), Otorhinolaryngology (8 citations) and Pharmacology (26 citations). Daniel Fowler has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Angus Dalgleish, Wai M. Liu, Peter L. Smith, Mark Bodman‐Smith, John Copier, Natalie Wilson, Jeffrey A. Medin, Jonathan Fisher, Jayne L. Dennis and Marta Barisa. Their work appears in journals such as British Journal of Cancer, Immunology, Cancer Immunology Immunotherapy, Cancer Research and Clinical & Experimental 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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