Thomas Garrabrant

462 citations
12 papers · 363 · h-index 8

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Parasitology top 10%
    • Parasites and Host Interactions

Papers in

    • Polyamine Metabolism and Applications 1
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 2
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1

Thomas Garrabrant

12 papers receiving 331 citations

Peers

Thomas Garrabrant
Comparison fields: 5 of 67
  • Immunology 127
  • Parasitology 38
  • Oncology 111
  • Small Animals 17
  • Molecular Biology 136
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Garrabrant

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Garrabrant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200654
2 197751
3 201548
4 200646
5 201144
6 200443
7 198040
8
Natural killing of cytomegalovirus-infected fibroblasts by human mononuclear leucocytes.
198122
9 19955
10
Identification of some interleukin-1 (IL-1) sensitive organs in vivo using the induction of ornithine decarboxylase (ODC) following injection of recombinant IL-1 beta in mice.
19875
11
Characterization of a high affinity interleukin-1 (IL-1) specific binding site in a human synovial sarcoma (Hs431) cell line.
19903
12 19842

About Thomas Garrabrant

Thomas Garrabrant is a scholar working on Molecular Biology, Immunology, Oncology, Small Animals and Epidemiology, having authored 12 papers that have together received 363 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Immunotherapy and Immune Responses (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Polyamine Metabolism and Applications (1 paper), Chemokine receptors and signaling (1 paper), Neuropeptides and Animal Physiology (1 paper) and Parasite Biology and Host Interactions (1 paper). The work is most often cited by research in Immunology (127 citations), Parasitology (38 citations), Oncology (111 citations), Small Animals (17 citations) and Molecular Biology (136 citations). Thomas Garrabrant has collaborated with scholars based in United States, Switzerland and Qatar. Frequent co-authors include Thomas C. Cheng, Stuart E. Starr, Robert A. Galemmo, Holly K. Koblish, Barbara J. Dalton, Dana L. Johnson, Kurt Paucker, George Coukos, Stanley A. Plotkin and Lana E. Kandalaft. Their work appears in journals such as Clinical Cancer Research, International Journal for Parasitology, Infection and Immunity, Bioorganic & Medicinal Chemistry Letters and Biochemistry.

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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