Curtis W. McCloskey

1.0k total citations
10 papers, 269 citations indexed

About

Curtis W. McCloskey is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Curtis W. McCloskey has authored 10 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Curtis W. McCloskey's work include Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (2 papers) and Reproductive Biology and Fertility (2 papers). Curtis W. McCloskey is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (2 papers) and Reproductive Biology and Fertility (2 papers). Curtis W. McCloskey collaborates with scholars based in Canada, United States and Finland. Curtis W. McCloskey's co-authors include Barbara C. Vanderhyden, Galaxia M. Rodriguez, Robert W. Boyd, Mikko J. Huttunen, Olga Collins, Jeremy Upham, Sangeeta Murugkar, Elizabeth A. Macdonald, Manijeh Daneshmand and Eurı́dice Carmona and has published in prestigious journals such as Oncogene, Scientific Reports and Biology of Reproduction.

In The Last Decade

Curtis W. McCloskey

9 papers receiving 267 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Curtis W. McCloskey Canada 7 120 113 83 65 38 10 269
Hubert Fleury Canada 11 179 1.5× 69 0.6× 224 2.7× 27 0.4× 48 1.3× 13 390
Laura González-Silva Spain 5 70 0.6× 42 0.4× 149 1.8× 15 0.2× 76 2.0× 6 234
Alejandro La Greca Argentina 11 37 0.3× 32 0.3× 193 2.3× 11 0.2× 66 1.7× 13 306
Vivek C. Abraham United States 7 172 1.4× 41 0.4× 145 1.7× 28 0.4× 15 0.4× 7 279
Dale W. Garsed Australia 7 257 2.1× 59 0.5× 195 2.3× 127 2.0× 68 1.8× 12 397
Esther Wagena Netherlands 7 187 1.6× 192 1.7× 117 1.4× 6 0.1× 23 0.6× 9 355
Maria Vladoiu Canada 10 50 0.4× 161 1.4× 225 2.7× 6 0.1× 38 1.0× 13 340
Qianying Ouyang China 8 68 0.6× 32 0.3× 137 1.7× 28 0.4× 77 2.0× 12 245
Mesruh Turkekul United States 5 79 0.7× 43 0.4× 120 1.4× 3 0.0× 58 1.5× 11 289
Joon Sang Lee United States 2 55 0.5× 32 0.3× 147 1.8× 4 0.1× 60 1.6× 2 245

Countries citing papers authored by Curtis W. McCloskey

Since Specialization
Citations

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

Fields of papers citing papers by Curtis W. McCloskey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curtis W. McCloskey. 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 Curtis W. McCloskey. The network helps show where Curtis W. McCloskey may publish in the future.

Co-authorship network of co-authors of Curtis W. McCloskey

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

All Works

10 of 10 papers shown
1.
Zhu, Yalun, Atefeh Abedini, Galaxia M. Rodriguez, et al.. (2025). Loss of LATS1 and LATS2 promotes ovarian tumor formation by enhancing AKT activity and PD-L1 expression. Oncogene. 44(27). 2240–2252. 1 indexed citations
2.
Rodriguez, Galaxia M., David P. Cook, Elizabeth A. Macdonald, et al.. (2024). FGL2 promotes tumour growth and attenuates infiltration of activated immune cells in melanoma and ovarian cancer models. Scientific Reports. 14(1). 787–787. 7 indexed citations
3.
Yee, Brian A., Pratik Joshi, Nicholas Wong, et al.. (2024). 3171 – IDENTIFYING STRESS GRANULES AS DETERMINANTS OF LEUKEMIA STEM CELL MAINTENANCE AND STRESS ADAPTATION. Experimental Hematology. 137. 104491–104491.
4.
Waas, Matthew, Amanda Khoo, Pirashaanthy Tharmapalan, et al.. (2024). Droplet-based proteomics reveals CD36 as a marker for progenitors in mammary basal epithelium. Cell Reports Methods. 4(4). 100741–100741. 1 indexed citations
5.
Cook, David P., Curtis W. McCloskey, Mélanie Grondin, et al.. (2021). Transcriptional heterogeneity of stemness phenotypes in the ovarian epithelium. Communications Biology. 4(1). 527–527. 7 indexed citations
6.
Cook, David P., et al.. (2019). COX2 is induced in the ovarian epithelium during ovulatory wound repair and promotes cell survival†. Biology of Reproduction. 101(5). 961–974. 14 indexed citations
7.
McCloskey, Curtis W., et al.. (2018). Ovarian Cancer Immunotherapy: Preclinical Models and Emerging Therapeutics. Cancers. 10(8). 244–244. 45 indexed citations
8.
Rodriguez, Galaxia M., et al.. (2018). The Tumor Microenvironment of Epithelial Ovarian Cancer and Its Influence on Response to Immunotherapy. Cancers. 10(8). 242–242. 104 indexed citations
9.
Huttunen, Mikko J., Curtis W. McCloskey, Jeremy Upham, et al.. (2018). Automated classification of multiphoton microscopy images of ovarian tissue using deep learning. Journal of Biomedical Optics. 23(6). 1–1. 44 indexed citations
10.
McCloskey, Curtis W., Olga Collins, Elizabeth A. Macdonald, et al.. (2014). A New Spontaneously Transformed Syngeneic Model of High-Grade Serous Ovarian Cancer with a Tumor-Initiating Cell Population. Frontiers in Oncology. 4. 53–53. 46 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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