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
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- Immunotherapy and Immune Responses 7
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 2
- Oncology 8
- Cancer Immunotherapy and Biomarkers 6
- CAR-T cell therapy research 2
- 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)Lesley Young (2 shared papers)Jacqueline Doody (2 shared papers)
- Journals
- Cancer Research (4 papers)Clinical Cancer Research (2 papers)Immunology (2 papers)Cytokine (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel Gliddon
15 papers receiving 310 citations
Peers
Comparison fields: 5 of 48
- Immunology 198
- Oncology 158
- Radiology, Nuclear Medicine and Imaging 66
- 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 | 86 | |
| 2 | 2004 | 63 | |
| 3 | 2020 | 45 | |
| 4 | 2002 | 41 | |
| 5 | 2016 | 38 | |
| 6 | 2002 | 13 | |
| 7 | 2018 | 13 | |
| 8 | 2020 | 11 | |
| 9 | 2017 | 5 | |
| 10 | 2011 | 3 | |
| 11 | 2019 | 2 | |
| 12 | 2019 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2020 | 1 |
About Daniel Gliddon
Daniel Gliddon is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cancer Research, having authored 15 papers that have together received 324 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (3 papers), Glycosylation and Glycoproteins Research (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Immune Cell Function and Interaction (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (198 citations), Oncology (158 citations), Radiology, Nuclear Medicine and Imaging (66 citations), Microbiology (11 citations) and Agronomy and Crop Science (16 citations). Daniel Gliddon has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jayne C. Hope, Christopher J. Howard, Neil Brewis, Alexander Koers, Sarah Batey, Michelle Morrow, Lesley Young, Jacqueline Doody, Matthew Kraman and Mateusz Wydro. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Immunology, Cytokine and The Journal of 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.