Colin Snyder
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
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- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 2
- Oncology 6
- Cancer Immunotherapy and Biomarkers 3
- Cancer Cells and Metastasis 2
- CAR-T cell therapy research 2
- Co-authors
- Krithika N. Kodumudi (8 shared papers)Brian J. Czerniecki (9 shared papers)Amrita Basu (5 shared papers)Ganesan Ramamoorthi (6 shared papers)Amber Beyer (3 shared papers)Corey Gallen (3 shared papers)Gary K. Koski (3 shared papers)Gabriella Albert (2 shared papers)
- Journals
- Neuro-Oncology (2 papers)Frontiers in Immunology (2 papers)Journal for ImmunoTherapy of Cancer (1 paper)Seminars in Cancer Biology (1 paper)Molecular Therapy (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Colin Snyder
11 papers receiving 400 citations
Colin Snyder's Hit Papers
Peers
Comparison fields: 5 of 62
- Immunology 171
- Oncology 182
- Cancer Research 41
- Pulmonary and Respiratory Medicine 54
- Molecular Biology 112
Countries citing papers authored by Colin Snyder
This map shows the geographic impact of Colin Snyder'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 Colin Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin Snyder more than expected).
Fields of papers citing papers by Colin Snyder
This network shows the impact of papers produced by Colin Snyder. 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 Colin Snyder. The network helps show where Colin Snyder may publish in the future.
Co-authors
The 25 scholars most cited alongside Colin Snyder, 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 | Differentiation and Regulation of TH Cells: A Balancing Act for Cancer Immunotherapy Hit paper breakdown → | 2021 | 237 |
| 2 | 2019 | 42 | |
| 3 | 2021 | 42 | |
| 4 | 2021 | 28 | |
| 5 | Glycerolipids and cancer. | 1975 | 26 |
| 6 | 2022 | 19 | |
| 7 | 2001 | 5 | |
| 8 | 2025 | 2 | |
| 9 | 2022 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2023 | 1 |
About Colin Snyder
Colin Snyder is a scholar working on Immunology, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Genetics, having authored 11 papers that have together received 404 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (3 papers), Brain Metastases and Treatment (2 papers), Cancer Cells and Metastasis (2 papers), Immune Cell Function and Interaction (2 papers), Glioma Diagnosis and Treatment (2 papers), CAR-T cell therapy research (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Immunology (171 citations), Oncology (182 citations), Cancer Research (41 citations), Pulmonary and Respiratory Medicine (54 citations) and Molecular Biology (112 citations). Colin Snyder has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Krithika N. Kodumudi, Brian J. Czerniecki, Amrita Basu, Ganesan Ramamoorthi, Amber Beyer, Corey Gallen, Gary K. Koski, Gabriella Albert, Mary L. Disis and Fred Snyder. Their work appears in journals such as Neuro-Oncology, Frontiers in Immunology, Journal for ImmunoTherapy of Cancer, Seminars in Cancer Biology and Molecular Therapy.
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.