Christopher Plescia

558 total citations · 1 hit paper
7 papers, 429 citations indexed

About

Christopher Plescia is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Christopher Plescia has authored 7 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Genetics. Recurrent topics in Christopher Plescia's work include Cancer-related gene regulation (3 papers), RNA modifications and cancer (2 papers) and Virus-based gene therapy research (2 papers). Christopher Plescia is often cited by papers focused on Cancer-related gene regulation (3 papers), RNA modifications and cancer (2 papers) and Virus-based gene therapy research (2 papers). Christopher Plescia collaborates with scholars based in United States. Christopher Plescia's co-authors include Starsha Kolodziej, Jianrong Gao, Anna Sokolovska, Ning Li, Daniel S. Leventhal, Adam Fisher, Michael J. James, Paul Miller, José M. Lora and Munira Momin and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Molecular Cancer Therapeutics.

In The Last Decade

Christopher Plescia

6 papers receiving 420 citations

Hit Papers

Immunotherapy with engineered bacteria by targeting the S... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Plescia United States 4 188 175 147 100 76 7 429
Kenia de los Santos-Alexis United States 6 116 0.6× 147 0.8× 126 0.9× 107 1.1× 90 1.2× 8 385
Arthee Jahangir United States 8 174 0.9× 235 1.3× 181 1.2× 309 3.1× 156 2.1× 11 618
Simon Rajendran Ireland 9 147 0.8× 151 0.9× 79 0.5× 20 0.2× 48 0.6× 38 364
Djenet Bousbaine United States 11 272 1.4× 66 0.4× 59 0.4× 148 1.5× 97 1.3× 15 589
Hanrui Wu South Africa 3 328 1.7× 116 0.7× 74 0.5× 67 0.7× 204 2.7× 5 539
Nadine Kasnitz Germany 9 177 0.9× 96 0.5× 119 0.8× 450 4.5× 250 3.3× 10 682
Jongwon Im United States 6 160 0.9× 243 1.4× 233 1.6× 73 0.7× 81 1.1× 6 471
Asferd Mengesha Netherlands 8 153 0.8× 317 1.8× 200 1.4× 35 0.3× 59 0.8× 9 497
Marie‐Ève Lebel Canada 10 111 0.6× 99 0.6× 43 0.3× 178 1.8× 63 0.8× 18 406

Countries citing papers authored by Christopher Plescia

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Plescia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Plescia

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

All Works

7 of 7 papers shown
1.
Rosenberg, Ari J., Aditya Juloori, Evgeny Izumchenko, et al.. (2024). Neoadjuvant HPV16-specific arenavirus-based immunotherapy HB-200 plus chemotherapy followed by response-stratified de-intensification in HPV16+ oropharyngeal cancer: TARGET-HPV.. Journal of Clinical Oncology. 42(16_suppl). 6017–6017. 4 indexed citations
2.
Bendell, Johanna C., Alexander I. Spira, Ramez N. Eskander, et al.. (2021). A phase 1 study of RTX-321, an engineered red blood cell as an artificial antigen-presenting cell expressing HLA-A*02 with the HPV-16 E7 peptide and 4-1BB ligand with membrane-bound IL-12 for the treatment of HPV 16-positive cancers.. Journal of Clinical Oncology. 39(15_suppl). TPS2664–TPS2664. 3 indexed citations
3.
Leventhal, Daniel S., Anna Sokolovska, Ning Li, et al.. (2020). Immunotherapy with engineered bacteria by targeting the STING pathway for anti-tumor immunity. Nature Communications. 11(1). 2739–2739. 326 indexed citations breakdown →
4.
Drew, Allison E., Trupti Lingaraj, Natalie M. Warholic, et al.. (2017). EZH2 Inhibition by Tazemetostat Results in Altered Dependency on B-cell Activation Signaling in DLBCL. Molecular Cancer Therapeutics. 16(11). 2586–2597. 52 indexed citations
5.
Knutson, Sarah K., Allison E. Drew, Christopher Plescia, et al.. (2015). Abstract C87: EZH2 inhibition leads to decreased proliferation in SMARCA4-deleted ovarian cancer cell lines. Molecular Cancer Therapeutics. 14(12_Supplement_2). C87–C87. 3 indexed citations
6.
Johnston, Danielle, Christopher Plescia, Trupti Lingaraj, et al.. (2015). Abstract B85: EZH2 plays a critical role in B-cell maturation and in non-Hodgkin's lymphoma: Interplay between EZH2 function and B-cell activation. Molecular Cancer Therapeutics. 14(12_Supplement_2). B85–B85. 1 indexed citations
7.
Plescia, Christopher, Charles E. Rogler, & Leslie E. Rogler. (2001). Genomic expression analysis implicates Wnt signaling pathway and extracellular matrix alterations in hepatic specification and differentiation of murine hepatic stem cells. Differentiation. 68(4-5). 254–269. 40 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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