Christopher T. Petersen

1.1k citations
12 papers · 504 · h-index 7

Impact in

Papers in

    • CAR-T cell therapy research 5
    • Chemokine receptors and signaling 4
    • Cancer Immunotherapy and Biomarkers 2
    • Immune Cell Function and Interaction 3

Christopher T. Petersen

11 papers receiving 496 citations

Peers

Christopher T. Petersen
Comparison fields: 5 of 52
  • Business and International Management 25
  • Genetics 121
  • Aging 14
  • Oncology 187
  • Immunology 97
Replace Lucrezia della Volpe with:
Lucrezia della Volpe Italy
Senquan Liu China
Shaunak Adkar United States
Yongli Shan China
Methichit Wattanapanitch Thailand
Nigel Zhang United States
Chikai Zhou Sweden
Cécile Bas France
Sridevi Jaksani Netherlands
Jeffrey M. Bernitz United States
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Citations per field
00.5×9.5×
Lucrezia della Volpe · 1×
Citations per year

Countries citing papers authored by Christopher T. Petersen

Since Specialization
Citations

This map shows the geographic impact of Christopher T. Petersen'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 T. Petersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher T. Petersen more than expected).

Fields of papers citing papers by Christopher T. Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher T. Petersen, 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 T. Petersen Line = papers co-authored together Christopher T. Petersen links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2020169
2 2016129
3 201888
4 201967
5 201617
6 201713
7 20177
8 20186
9 20205
10 20192
11 20171
12 20160

About Christopher T. Petersen

Christopher T. Petersen is a scholar working on Oncology, Immunology, Molecular Biology, Cellular and Molecular Neuroscience and Microbiology, having authored 12 papers that have together received 504 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Chemokine receptors and signaling (4 papers), Immune Cell Function and Interaction (3 papers), CRISPR and Genetic Engineering (3 papers), Antimicrobial Peptides and Activities (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Neuropeptides and Animal Physiology (2 papers) and Silicon Carbide Semiconductor Technologies (1 paper). The work is most often cited by research in Business and International Management (25 citations), Genetics (121 citations), Aging (14 citations), Oncology (187 citations) and Immunology (97 citations). Christopher T. Petersen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Giedre Krenciute, Edmund K. Waller, H Lewis, Ian B. Copland, Jacques Galipeau, Raghavan Chinnadurai, Marco Garcia, Allan D. Kirk, Shengdar Q. Tsai and Cícera R. Lazzarotto. Their work appears in journals such as The Journal of Immunology, Neuro-Oncology, Frontiers in Oncology, Stem Cells and OncoImmunology.

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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