Daniel Gliddon
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Peptidase Inhibition and Analysis
Papers in
- Oncology 9
- Cancer Immunotherapy and Biomarkers 7
- CAR-T cell therapy research 3
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- Immunotherapy and Immune Responses 7
- T-cell and B-cell Immunology 3
- Co-authors
- Jayne C. Hope (2 shared papers)Christopher J. Howard (1 shared paper)Neil Brewis (8 shared papers)Alexander Koers (7 shared papers)Sarah Batey (5 shared papers)Michelle Morrow (8 shared papers)Mateusz Wydro (6 shared papers)Mustapha Faroudi (4 shared papers)
- Journals
- Cancer Research (4 papers)Clinical Cancer Research (2 papers)Immunology (2 papers)The Journal of Immunology (1 paper)Veterinary Immunology and Immunopathology (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Daniel Gliddon
14 papers receiving 296 citations
Peers
Comparison fields: 5 of 49
- Immunology 209
- Oncology 166
- Radiology, Nuclear Medicine and Imaging 70
- Microbiology 11
- Agronomy and Crop Science 16
Countries citing papers authored by Daniel Gliddon
This map shows the geographic impact of Daniel Gliddon'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 Gliddon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gliddon more than expected).
Fields of papers citing papers by Daniel Gliddon
This network shows the impact of papers produced by Daniel Gliddon. 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 Gliddon. The network helps show where Daniel Gliddon may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gliddon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 82 | |
| 2 | 2004 | 62 | |
| 3 | 2020 | 44 | |
| 4 | 2002 | 40 | |
| 5 | 2016 | 32 | |
| 6 | 2002 | 13 | |
| 7 | 2018 | 13 | |
| 8 | 2020 | 11 | |
| 9 | 2011 | 3 | |
| 10 | 2017 | 3 | |
| 11 | 2019 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2019 | 1 |
About Daniel Gliddon
Daniel Gliddon is a scholar working on Oncology, Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cancer Research, having authored 15 papers that have together received 309 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), CAR-T cell therapy research (3 papers), T-cell and B-cell Immunology (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Immunology (209 citations), Oncology (166 citations), Radiology, Nuclear Medicine and Imaging (70 citations), Microbiology (11 citations) and Agronomy and Crop Science (16 citations). Daniel Gliddon has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jayne C. Hope, Christopher J. Howard, Neil Brewis, Alexander Koers, Sarah Batey, Michelle Morrow, Mateusz Wydro, Mustapha Faroudi, Matthew Kraman and Jacqueline Doody. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Immunology, The Journal of Immunology and Veterinary Immunology and Immunopathology.
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.