Christopher Plescia

580 citations
7 papers · 454 · 1 hit paper · h-index 4

Impact in

Papers in

    • Cancer-related gene regulation 3
    • Epigenetics and DNA Methylation 2
    • RNA modifications and cancer 2
    • Chromatin Remodeling and Cancer 1
    • CRISPR and Genetic Engineering 1

Christopher Plescia

6 papers receiving 441 citations

Christopher Plescia's Hit Papers

Immunotherapy with engineered bacteria by targeting the STING pathway for anti-tumor immunity 2020 · 345 citations
3450+2+4Years since publication100200300

Peers

Christopher Plescia
Comparison fields: 5 of 51
  • Biotechnology 183
  • Immunology 100
  • Biological Psychiatry 8
  • Biomedical Engineering 143
  • Oncology 72
Replace Kenia de los Santos-Alexis with:
Kenia de los Santos-Alexis United States
Daoyuan Xie China
Djenet Bousbaine United States
Sreyan Chowdhury United States
Sofía Grille Uruguay
Stefan Petkov Sweden
Rosa L. Vincent United States
Arthee Jahangir United States
Nadine Kasnitz Germany
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Christopher Plescia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher Plescia Line = papers co-authored together Christopher Plescia links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Immunotherapy with engineered bacteria by targeting the STING pathway for anti-tumor immunity
Hit paper breakdown →
2020345
2 201755
3 200140
4 20246
5 20213
6 20153
7 20152

About Christopher Plescia

Christopher Plescia is a scholar working on Molecular Biology, Epidemiology, Genetics, Infectious Diseases and Surgery, having authored 7 papers that have together received 454 indexed citations. Recurring topics across this work include Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (2 papers), Virus-based gene therapy research (2 papers), Chromatin Remodeling and Cancer (1 paper), Cancer Research and Treatments (1 paper), CRISPR and Genetic Engineering (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Biotechnology (183 citations), Immunology (100 citations), Biological Psychiatry (8 citations), Biomedical Engineering (143 citations) and Oncology (72 citations). Christopher Plescia has collaborated with scholars based in United States. Frequent co-authors include Adam Fisher, Anna Sokolovska, Paul Miller, José M. Lora, Starsha Kolodziej, Michael J. James, Munira Momin, Kip A. West, Jianrong Gao and Ning Li. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Clinical Oncology, Differentiation and Nature Communications.

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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