Keith Giza

422 citations
7 papers · 357 · h-index 6

Impact in

    • Cell Adhesion Molecules Research
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • interferon and immune responses

Papers in

    • T-cell and B-cell Immunology 3
    • Atherosclerosis and Cardiovascular Diseases 1
    • Mast cells and histamine 1
    • Immunotherapy and Immune Responses 1
    • TGF-β signaling in diseases 1

Keith Giza

7 papers receiving 351 citations

Peers

Keith Giza
Comparison fields: 5 of 58
  • Immunology and Allergy 52
  • Immunology 172
  • Cancer Research 101
  • Molecular Biology 170
  • Rheumatology 37
Replace Theresa Seaton with:
Theresa Seaton United States
Julie Blasioli Australia
Katie E. Hebron United States
Steffen Salzmann Germany
Dorine Wouters Netherlands
Isabell Lang Germany
Xiaowen He United States
С. В. Айдагулова Russia
Tung Bui Canada
S. J. Gadd Austria
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Citations per field
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Citations per year

Countries citing papers authored by Keith Giza

Since Specialization
Citations

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

Fields of papers citing papers by Keith Giza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2006132
2 201074
3 200351
4 200348
5 200731
6 200517
7 20034

About Keith Giza

Keith Giza is a scholar working on Immunology, Molecular Biology, Oncology, Immunology and Allergy and Small Animals, having authored 7 papers that have together received 357 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cell Adhesion Molecules Research (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Mast cells and histamine (1 paper), TGF-β signaling in diseases (1 paper), Platelet Disorders and Treatments (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology and Allergy (52 citations), Immunology (172 citations), Cancer Research (101 citations), Molecular Biology (170 citations) and Rheumatology (37 citations). Keith Giza has collaborated with scholars based in United States, Poland and Australia. Frequent co-authors include Stuart J. Perper, Cheryl Nickerson‐Nutter, Henry Hess, Apinya Ngam-ek, Jeffrey L. Browning, Martin Scott, Luis A. Rajman, Jennifer L. Gommerman, Linda C. Burkly and David M. Findlay. Their work appears in journals such as Journal of Clinical Investigation, Journal of Pharmacology and Experimental Therapeutics, The Journal of Immunology and Journal of Allergy and Clinical Immunology.

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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