Christopher D. Carey

2.6k total citations
16 papers, 1.3k citations indexed

About

Christopher D. Carey is a scholar working on Oncology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Christopher D. Carey has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Pathology and Forensic Medicine and 6 papers in Immunology. Recurrent topics in Christopher D. Carey's work include Lymphoma Diagnosis and Treatment (5 papers), CAR-T cell therapy research (4 papers) and Immune Cell Function and Interaction (3 papers). Christopher D. Carey is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), CAR-T cell therapy research (4 papers) and Immune Cell Function and Interaction (3 papers). Christopher D. Carey collaborates with scholars based in United States, United Kingdom and Australia. Christopher D. Carey's co-authors include Scott J. Rodig, Jon C. Aster, B Bernstein, Shawn Gillespie, Margaret A. Shipp, Donna Neuberg, Robert Redd, Brian B. Liau, Daniel P. Cahill and Sarah J. Shareef and has published in prestigious journals such as Nature Genetics, Blood and The Journal of Immunology.

In The Last Decade

Christopher D. Carey

16 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher D. Carey United States 12 593 588 343 330 191 16 1.3k
Soo Jeong Nam South Korea 21 795 1.3× 489 0.8× 475 1.4× 485 1.5× 289 1.5× 49 1.5k
Alessandro Poletti Italy 15 496 0.8× 745 1.3× 169 0.5× 211 0.6× 149 0.8× 36 1.7k
Maciej Giefing Poland 18 396 0.7× 631 1.1× 331 1.0× 418 1.3× 483 2.5× 56 1.2k
Robert T. Jones United States 8 380 0.6× 513 0.9× 156 0.5× 97 0.3× 154 0.8× 20 1.2k
Deqin Ma United States 21 196 0.3× 825 1.4× 84 0.2× 216 0.7× 217 1.1× 46 1.4k
Francesca Orzan Italy 15 381 0.6× 393 0.7× 93 0.3× 123 0.4× 280 1.5× 24 905
Jan Böhm Finland 22 717 1.2× 478 0.8× 205 0.6× 361 1.1× 304 1.6× 70 1.4k
A. K. El-Naggar United States 15 703 1.2× 692 1.2× 279 0.8× 96 0.3× 221 1.2× 24 1.5k
Laura Casorzo Italy 19 665 1.1× 300 0.5× 160 0.5× 144 0.4× 260 1.4× 29 1.2k
Lidia Moserle Italy 18 496 0.8× 647 1.1× 173 0.5× 96 0.3× 341 1.8× 26 1.1k

Countries citing papers authored by Christopher D. Carey

Since Specialization
Citations

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

Fields of papers citing papers by Christopher D. Carey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher D. Carey. 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 Christopher D. Carey. The network helps show where Christopher D. Carey may publish in the future.

Co-authorship network of co-authors of Christopher D. Carey

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

All Works

16 of 16 papers shown
1.
Stewart, Benjamin J., Martin Fergie, Matthew D. Young, et al.. (2023). Spatial and molecular profiling of the mononuclear phagocyte network in Classic Hodgkin lymphoma. Blood. 141(19). 2343–2358. 25 indexed citations
2.
Bacon, Chris M., et al.. (2023). Lymphoma triage from H&E using AI for improved clinical management. Journal of Clinical Pathology. 78(1). 28–33. 2 indexed citations
3.
Sachdeva, Ashwin, Claire A. Hart, Christopher D. Carey, et al.. (2022). Automated quantitative high-throughput multiplex immunofluorescence pipeline to evaluate OXPHOS defects in formalin-fixed human prostate tissue. Scientific Reports. 12(1). 6660–6660. 4 indexed citations
4.
Keir, Mary, Franklin Fuh, Ryan Ichikawa, et al.. (2021). Regulation and Role of αE Integrin and Gut Homing Integrins in Migration and Retention of Intestinal Lymphocytes during Inflammatory Bowel Disease. The Journal of Immunology. 207(9). 2245–2254. 39 indexed citations
5.
Lemos, Henrique, Christopher D. Carey, Amy E. Anderson, et al.. (2021). Pim Kinases as Therapeutic Targets in Early Rheumatoid Arthritis. Arthritis & Rheumatology. 73(10). 1820–1830. 15 indexed citations
6.
Swan, David, Dominik Aschenbrenner, Christopher A Lamb, et al.. (2019). Immunodeficiency, autoimmune thrombocytopenia and enterocolitis caused by autosomal recessive deficiency of PIK3CD-encoded phosphoinositide 3-kinase δ. Haematologica. 104(10). e483–e486. 29 indexed citations
7.
Carey, Christopher D., Daniel Gusenleitner, Mikel Lipschitz, et al.. (2017). Topological analysis reveals a PD-L1-associated microenvironmental niche for Reed-Sternberg cells in Hodgkin lymphoma. Blood. 130(22). 2420–2430. 219 indexed citations
8.
Sajed, Dipti P., William C. Faquin, Christopher D. Carey, et al.. (2017). Diffuse Staining for Activated NOTCH1 Correlates With NOTCH1 Mutation Status and Is Associated With Worse Outcome in Adenoid Cystic Carcinoma. The American Journal of Surgical Pathology. 41(11). 1473–1482. 34 indexed citations
9.
Roemer, Margaretha G.M., Ranjana H. Advani, Robert Redd, et al.. (2016). Classical Hodgkin Lymphoma with Reduced β2M/MHC Class I Expression Is Associated with Inferior Outcome Independent of 9p24.1 Status. Cancer Immunology Research. 4(11). 910–916. 139 indexed citations
10.
Liau, Brian B., Cem Sievers, Laura K. Donohue, et al.. (2016). Adaptive Chromatin Remodeling Drives Glioblastoma Stem Cell Plasticity and Drug Tolerance. Cell stem cell. 20(2). 233–246.e7. 354 indexed citations
11.
Drier, Yotam, Matthew J. Cotton, Kaylyn E. Williamson, et al.. (2016). An oncogenic MYB feedback loop drives alternate cell fates in adenoid cystic carcinoma. Nature Genetics. 48(3). 265–272. 224 indexed citations
12.
Morgan, Elizabeth A., Tamiwe Tomoka, Nadja Kopp, et al.. (2016). Targetable subsets of non-Hodgkin lymphoma in Malawi define therapeutic opportunities. Blood Advances. 1(1). 84–92. 8 indexed citations
13.
Carey, Christopher D., Courtney Connelly, Evisa Gjini, et al.. (2015). Quantitative Assessment of PD-L1 Expression in Classical Hodgkin Lymphoma Suggests a Critical Role for Tumor Associated Macrophages in Suppressing Anti-Tumor Immunity. Blood. 126(23). 1440–1440. 4 indexed citations
14.
Carey, Christopher D., Daniel Gusenleitner, Bjoern Chapuy, et al.. (2014). Molecular Classification of MYC-Driven B-Cell Lymphomas by Targeted Gene Expression Profiling of Fixed Biopsy Specimens. Journal of Molecular Diagnostics. 17(1). 19–30. 19 indexed citations
15.
Shimamura, Takeshi, Samanthi A. Perera, Kevin P. Foley, et al.. (2012). Ganetespib (STA-9090), a Nongeldanamycin HSP90 Inhibitor, Has Potent Antitumor Activity in In Vitro and In Vivo Models of Non–Small Cell Lung Cancer. Clinical Cancer Research. 18(18). 4973–4985. 131 indexed citations
16.
Zaydfudim, Victor M., et al.. (2010). Retroperitoneal Repair of Abdominal Aortic Aneurysms Offers Postoperative Benefits to Male Patients in the Veterans Affairs Health System. Annals of Vascular Surgery. 24(6). 728–732. 12 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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