Peter G. Larson

460 citations
11 papers · 357 · h-index 8

Impact in

    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • Immune Response and Inflammation 4
    • Immunotherapy and Immune Responses 3
    • interferon and immune responses 2
    • Immune Cell Function and Interaction 2
    • Antimicrobial Peptides and Activities 3

Peter G. Larson

11 papers receiving 351 citations

Peers

Peter G. Larson
Comparison fields: 5 of 57
  • Immunology 185
  • Microbiology 20
  • Biomaterials 41
  • Molecular Medicine 12
  • Oncology 57
Replace Gayatri Mukherjee with:
Gayatri Mukherjee India
Gopikrishna Moku India
Alex C. D. Salyer United States
Alireza Shoari Iran
Annemiek Uvyn Belgium
Nanhui Liu China
Emad Ibrahim Wafa United States
Naihan Chen United States
Liming Gong China
Francesco Papi Italy
Peter G. Larson relative to Gayatri Mukherjee India Gayatri Mukherjee's profile →
Citations per field
00.5×2×2.7×
Gayatri Mukherjee · 1×
Citations per year

Countries citing papers authored by Peter G. Larson

Since Specialization
Citations

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

Fields of papers citing papers by Peter G. Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter G. Larson. 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 Peter G. Larson. The network helps show where Peter G. Larson may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2018171
2 201741
3 202233
4 201928
5 201928
6 202123
7 201815
8 20228
9
Selective effect of cefoxitin prophylaxis on post-cesarean-section microbial flora.
19908
10 20211
11 20251

About Peter G. Larson

Peter G. Larson is a scholar working on Immunology, Microbiology, Epidemiology, Virology and Physiology, having authored 11 papers that have together received 357 indexed citations. Recurring topics across this work include Immune Response and Inflammation (4 papers), Antimicrobial Peptides and Activities (3 papers), Immunotherapy and Immune Responses (3 papers), interferon and immune responses (2 papers), Immune Cell Function and Interaction (2 papers), Quinazolinone synthesis and applications (1 paper), CAR-T cell therapy research (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Immunology (185 citations), Microbiology (20 citations), Biomaterials (41 citations), Molecular Medicine (12 citations) and Oncology (57 citations). Peter G. Larson has collaborated with scholars based in United States and China. Frequent co-authors include David M. Ferguson, Thomas S. Griffith, Tamara A. Kucaba, Jayanth Panyam, Hyunjoon Kim, Britnie R. James, Lin Niu, Katherine A. Murphy, Michael R. Olin and Zhengming Xiong. Their work appears in journals such as ACS Infectious Diseases, Journal of Immunotherapy, Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters and Biomaterials.

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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