Colin Snyder

535 total citations · 1 hit paper
11 papers, 384 citations indexed

About

Colin Snyder is a scholar working on Oncology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Colin Snyder has authored 11 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Immunology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Colin Snyder's work include Immunotherapy and Immune Responses (6 papers), CAR-T cell therapy research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Colin Snyder is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), CAR-T cell therapy research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Colin Snyder collaborates with scholars based in United States, China and United Kingdom. Colin Snyder's co-authors include Brian J. Czerniecki, Krithika N. Kodumudi, Ganesan Ramamoorthi, Amrita Basu, Amber Beyer, Corey Gallen, Gary K. Koski, Gabriella Albert, Mary L. Disis and Fred Snyder and has published in prestigious journals such as Frontiers in Immunology, Molecular Therapy and Seminars in Cancer Biology.

In The Last Decade

Colin Snyder

10 papers receiving 379 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Differentiation and Regulation of TH Cells: A Balancing Act for Cancer Immunotherapy

2021 225 citations Amrita Basu, Ganesan Ramamoorthi et al. Frontiers in Immunology profile →

Peers

Countries citing papers authored by Colin Snyder

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Colin Snyder

This figure shows the co-authorship network connecting the top 25 collaborators of Colin Snyder. A scholar is included among the top collaborators of Colin Snyder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Colin Snyder. Colin Snyder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

#	Title	Journal	Authors	Indexed citations
1	Antitumor CD4+ T Helper 1 Cells Target and Control the Outgrowth of Disseminated Cancer Cells	Cancer Immunology Research	Ganesan Ramamoorthi, Marie Catherine Lee et al.	1
2	P16.03.A DEVELOPMENT OF INTRATHECAL DRUG DELIVERY PLATFORM TO CURE BREAST CANCER LEPTOMENINGEAL DISEASE BY DENDRITIC CELL VACCINE IN PRECLINICAL MODEL	Neuro-Oncology	Vincent Law, Colin Snyder et al.	1
3	Intratumoral delivery of dendritic cells plus anti-HER2 therapy triggers both robust systemic antitumor immunity and complete regression in HER2 mammary carcinoma	Journal for ImmunoTherapy of Cancer	Ganesan Ramamoorthi, Krithika N. Kodumudi et al.	18
4	248 Intrathecal delivery of dendritic cell vaccine eradicates tumor growth and protects against leptomeningeal disease re-inoculation in immunocompetent HER2+ and triple negative breast cancer LMD xenograft models	Regular and Young Investigator Award Abstracts	Vincent Law, Krithika N. Kodumudi et al.	1
5	Differentiation and Regulation of TH Cells: A Balancing Act for Cancer Immunotherapy breakdown →	Frontiers in Immunology	Amrita Basu, Ganesan Ramamoorthi et al.	225
6	Th1 cytokine interferon gamma improves response in HER2 breast cancer by modulating the ubiquitin proteasomal pathway	Molecular Therapy	Yongsheng Jia, Krithika N. Kodumudi et al.	39
7	Disseminated cancer cells in breast cancer: Mechanism of dissemination and dormancy and emerging insights on therapeutic opportunities	Seminars in Cancer Biology	Ganesan Ramamoorthi, Krithika N. Kodumudi et al.	27
8	EXTH-04. INTRATHECAL (IT) DELIVERY OF TYPE I POLARIZED DENDRITIC CELL VACCINE (DC1) ERADICATES TUMOR GROWTH IN BREAST CANCER (BC) XENOGRAFT MODEL WITH BRAIN METASTASES (BM) AND LEPTOMENINGEAL DISEASE (LMD)	Neuro-Oncology	Vincent Law, Krithika N. Kodumudi et al.	0
9	Sequential Anti-PD1 Therapy Following Dendritic Cell Vaccination Improves Survival in a HER2 Mammary Carcinoma Model and Identifies a Critical Role for CD4 T Cells in Mediating the Response	Frontiers in Immunology	Krithika N. Kodumudi, Ganesan Ramamoorthi et al.	41
10	Growth Factors and their Receptors in Cancer Metastasis	Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))	Colin Snyder, Toshikazu Nakamura et al.	5
11	Glycerolipids and cancer.	PubMed	Fred Snyder, Colin Snyder	26

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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