Michael C. Churnetski

785 total citations
11 papers, 84 citations indexed

About

Michael C. Churnetski is a scholar working on Pathology and Forensic Medicine, Genetics and Reproductive Medicine. According to data from OpenAlex, Michael C. Churnetski has authored 11 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 6 papers in Genetics and 3 papers in Reproductive Medicine. Recurrent topics in Michael C. Churnetski's work include Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Ovarian cancer diagnosis and treatment (3 papers). Michael C. Churnetski is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Ovarian cancer diagnosis and treatment (3 papers). Michael C. Churnetski collaborates with scholars based in United States, Greece and Canada. Michael C. Churnetski's co-authors include Jonathon B. Cohen, Alexey V. Danilov, Daniel O. Persky, Adam S. Kittai, Stephen M. Amrock, Spencer James, Max J. Gordon, Stephen E. Spurgeon, Sudhir Manda and Michael Y. Choi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Michael C. Churnetski

10 papers receiving 84 citations

Peers

Michael C. Churnetski
Michael C. Churnetski
Citations per year, relative to Michael C. Churnetski Michael C. Churnetski (= 1×) peers Marie‐Sarah Dilhuydy

Countries citing papers authored by Michael C. Churnetski

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Churnetski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Churnetski. 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 Michael C. Churnetski. The network helps show where Michael C. Churnetski may publish in the future.

Co-authorship network of co-authors of Michael C. Churnetski

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

All Works

11 of 11 papers shown
1.
Chang, Andrés, Donald J. McGuire, Amy Ayers, et al.. (2025). PD-1 expression identifies proliferating malignant CLL B cells and is a potential biomarker of response to BTK inhibitor therapy. Proceedings of the National Academy of Sciences. 122(36). e2426935122–e2426935122.
2.
Chang, Andrés, Donald J. McGuire, Amy Ayers, et al.. (2024). PD-1 Expression Identifies Proliferating Chronic Lymphocytic Leukemia Cells and Informs Response and Resistance to BTK Inhibitor Therapy. Blood. 144(Supplement 1). 3235–3235. 1 indexed citations
3.
Lee, Michelle, R. Andrew Harkins, Michael C. Churnetski, et al.. (2023). Important Considerations in the Diagnosis and Management of Post-transplant Lymphoproliferative Disorder. Current Oncology Reports. 25(8). 883–895. 2 indexed citations
4.
Chang, Andrés, Jean L. Koff, Lilin Lai, et al.. (2023). Low neutralizing activity of AZD7442 against current SARS-CoV-2 Omicron variants in patients with B-cell malignancies. Blood Advances. 7(11). 2459–2462. 7 indexed citations
5.
Strouse, Christopher, Manali Rupji, Zhengjia Chen, et al.. (2021). Surveillance imaging during first remission in follicular lymphoma does not impact overall survival. Cancer. 127(18). 3390–3402. 9 indexed citations
6.
Gordon, Max J., Andy Kaempf, Andrea Sitlinger, et al.. (2020). The Chronic Lymphocytic Leukemia Comorbidity Index (CLL-CI) Predicts Survival and Tolerance of Ibrutinib Therapy in Patients with CLL: A Multicenter Retrospective Cohort Study. Blood. 136(Supplement 1). 1–3. 1 indexed citations
8.
Strouse, Christopher, Zhengjia Chen, Matthew J. Maurer, et al.. (2019). Impact on survival of surveillance imaging after first remission in follicular lymphoma.. Journal of Clinical Oncology. 37(15_suppl). 7536–7536. 1 indexed citations
9.
Gordon, Max J., Michael C. Churnetski, Adam S. Kittai, et al.. (2018). Comorbidities predict inferior outcomes in chronic lymphocytic leukemia treated with ibrutinib. Cancer. 124(15). 3192–3200. 53 indexed citations
10.
Kittai, Adam S., Max J. Gordon, Michael C. Churnetski, et al.. (2018). Effect of concurrent CYP3A4 interacting medications on ibrutinib outcomes in patients with CLL.. Journal of Clinical Oncology. 36(15_suppl). e19514–e19514. 1 indexed citations
11.
Chen, Zhengjia, et al.. (2017). Surveillance Imaging during First-Remission in Follicular Lymphoma Does Not Impact Overall Survival. Blood. 130. 1501–1501. 7 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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