Cormac Cosgrove

2.5k total citations
31 papers, 1.3k citations indexed

About

Cormac Cosgrove is a scholar working on Immunology, Oncology and Rehabilitation. According to data from OpenAlex, Cormac Cosgrove has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 7 papers in Oncology and 5 papers in Rehabilitation. Recurrent topics in Cormac Cosgrove's work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (7 papers) and CAR-T cell therapy research (6 papers). Cormac Cosgrove is often cited by papers focused on Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (7 papers) and CAR-T cell therapy research (6 papers). Cormac Cosgrove collaborates with scholars based in United States, United Kingdom and Switzerland. Cormac Cosgrove's co-authors include Paul Klenerman, Richard J. Simpson, Christian B. Willberg, L J Walker, Ayako Kurioka, Keith Guy, Geraint Florida‐James, James E. Ussher, Kang Yh and Joannah R. Fergusson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Cormac Cosgrove

29 papers receiving 1.3k citations

Peers

Cormac Cosgrove
Margaret M. Lowe United States
Phyllis‐Jean Linton United States
Melanie C. Ruzek United States
Karin Schornagel Netherlands
Brigitte Jenewein Austria
G. Davatelis United States
Inmaculada Gayoso Spain
Praxedis Martin Switzerland
Carla Guthridge United States
Beda Muehleisen Switzerland
Margaret M. Lowe United States
Cormac Cosgrove
Citations per year, relative to Cormac Cosgrove Cormac Cosgrove (= 1×) peers Margaret M. Lowe

Countries citing papers authored by Cormac Cosgrove

Since Specialization
Citations

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

Fields of papers citing papers by Cormac Cosgrove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cormac Cosgrove

This figure shows the co-authorship network connecting the top 25 collaborators of Cormac Cosgrove. A scholar is included among the top collaborators of Cormac Cosgrove 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 Cormac Cosgrove. Cormac Cosgrove is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Stone, Jennifer D., Kamonwan Fish, Devika Ashok, et al.. (2025). ABBV-303 Is an NK-cell Engager Specific for c-Met–Expressing Tumors. Cancer Research. 86(3). 746–758.
2.
Cosgrove, Cormac, et al.. (2024). Topical antibiotics limit depigmentation in a mouse model of vitiligo. Pigment Cell & Melanoma Research. 37(5). 583–596. 4 indexed citations
3.
Chervin, Adam S., Jennifer D. Stone, Iwona Konieczna, et al.. (2023). ABBV-184: A Novel Survivin-specific TCR/CD3 Bispecific T-cell Engager is Active against Both Solid Tumor and Hematologic Malignancies. Molecular Cancer Therapeutics. 22(8). 903–912. 7 indexed citations
4.
Jaishankar, Dinesh, Cormac Cosgrove, Lin Li, et al.. (2023). Skin Infiltrate Composition as a Telling Measure of Responses to Checkpoint Inhibitors. SHILAP Revista de lepidopterología. 3(5). 100190–100190. 1 indexed citations
5.
Jaishankar, Dinesh, et al.. (2021). HSP70iQ435A to subdue autoimmunity and support anti-tumor responses. Cell Stress and Chaperones. 26(5). 845–857. 3 indexed citations
6.
Barse, Levi, Cormac Cosgrove, Dinesh Jaishankar, et al.. (2020). Adoptive T-Cell Transfer to Treat Lymphangioleiomyomatosis. American Journal of Respiratory Cell and Molecular Biology. 62(6). 793–804. 9 indexed citations
7.
Cosgrove, Cormac, Dinesh Jaishankar, Jonathan M. Eby, et al.. (2020). Antigen Specificity Enhances Disease Control by Tregs in Vitiligo. Frontiers in Immunology. 11. 581433–581433. 57 indexed citations
8.
Cosgrove, Cormac, Suhail Akhtar, Víctor H. Engelhard, et al.. (2019). Antibiotics Drive Microbial Imbalance and Vitiligo Development in Mice. Journal of Investigative Dermatology. 140(3). 676–687.e6. 45 indexed citations
9.
Forconi, Catherine S., Cormac Cosgrove, Priya Saikumar Lakshmi, et al.. (2018). Poorly cytotoxic terminally differentiated CD56negCD16pos NK cells accumulate in Kenyan children with Burkitt lymphomas. Blood Advances. 2(10). 1101–1114. 38 indexed citations
10.
Yu, Wen‐Han, Cormac Cosgrove, Christoph T. Berger, et al.. (2018). ADCC-Mediated CD56dim NK Cell Responses Are Associated with Early HBsAg Clearance in Acute HBV Infection. SHILAP Revista de lepidopterología. 3(1). 2–2. 22 indexed citations
11.
Kurioka, Ayako, Cormac Cosgrove, Yannick Simoni, et al.. (2018). CD161 Defines a Functionally Distinct Subset of Pro-Inflammatory Natural Killer Cells. Frontiers in Immunology. 9. 486–486. 82 indexed citations
12.
Ussher, James E., Prabhjeet Phalora, Cormac Cosgrove, et al.. (2015). Molecular Analyses Define Vα7.2-Jα33+ MAIT Cell Depletion in HIV Infection. Medicine. 94(29). e1134–e1134. 21 indexed citations
13.
Cosgrove, Cormac, Christoph T. Berger, Daniela C. Kroy, et al.. (2014). Chronic HCV Infection Affects the NK Cell Phenotype in the Blood More than in the Liver. PLoS ONE. 9(8). e105950–e105950. 20 indexed citations
14.
Kurioka, Ayako, James E. Ussher, Cormac Cosgrove, et al.. (2014). MAIT cells are licensed through granzyme exchange to kill bacterially sensitized targets. Mucosal Immunology. 8(2). 429–440. 281 indexed citations
15.
Wong, Emily, Pamla Govender, Zuri A. Sullivan, et al.. (2013). Low Levels of Peripheral CD161++CD8+ Mucosal Associated Invariant T (MAIT) Cells Are Found in HIV and HIV/TB Co-Infection. PLoS ONE. 8(12). e83474–e83474. 77 indexed citations
16.
Cosgrove, Cormac, et al.. (2011). The impact of 6-month training preparation for an Ironman triathlon on the proportions of naïve, memory and senescent T cells in resting blood. European Journal of Applied Physiology. 112(8). 2989–2998. 20 indexed citations
17.
Huang, Guo‐Jen, Adrian L. Smith, Daniel H.D. Gray, et al.. (2010). A Genetic and Functional Relationship between T Cells and Cellular Proliferation in the Adult Hippocampus. PLoS Biology. 8(12). e1000561–e1000561. 22 indexed citations
18.
Simpson, Richard J., Cormac Cosgrove, Geraint Florida‐James, et al.. (2008). Senescent T-lymphocytes are mobilised into the peripheral blood compartment in young and older humans after exhaustive exercise. Brain Behavior and Immunity. 22(4). 544–551. 72 indexed citations
19.
Simpson, Richard J., Geraint Florida‐James, Cormac Cosgrove, et al.. (2007). High-intensity exercise elicits the mobilization of senescent T lymphocytes into the peripheral blood compartment in human subjects. Journal of Applied Physiology. 103(1). 396–401. 75 indexed citations
20.
Cosgrove, Cormac & V. R. Southgate. (2003). Competitive mating interactions between Schistosoma haematobium and S. intercalatum (Lower Guinea strain). Parasitology Research. 89(3). 238–241. 9 indexed citations

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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