Gerald DeGray

498 citations
10 papers · 375 · h-index 7

Impact in

Papers in

    • Heat shock proteins research 1
    • S100 Proteins and Annexins 1
    • Immune Cell Function and Interaction 2
    • T-cell and B-cell Immunology 1

Gerald DeGray

10 papers receiving 363 citations

Peers

Gerald DeGray
Comparison fields: 5 of 63
  • Virology 61
  • Biotechnology 112
  • Microbiology 51
  • Molecular Biology 211
  • Immunology 52
Replace Joachim Weidmann with:
Joachim Weidmann Australia
Dominique Villeval France
Roy Musil Canada
Lawrence T. Malek Canada
О. В. Кретова Russia
G. É. El'kin United States
Didier Breyer Belgium
Mary Eberle United States
Harvey Bialy United States
Gerald DeGray relative to Joachim Weidmann Australia Joachim Weidmann's profile →
Citations per field
00.5×4.8×
Joachim Weidmann · 1×
Citations per year

Countries citing papers authored by Gerald DeGray

Since Specialization
Citations

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

Fields of papers citing papers by Gerald DeGray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2001206
2 201556
3 201035
4 201132
5 200314
6 200712
7
Effect of aspirin on the contractility of aortic smooth muscle and the course of blood pressure development in male spontaneously hypertensive rats.
19987
8 20056
9
Expression of an antimicrobial peptide via the chloroplast genome to control phytopathogenic bacteria
20005
10 20102

About Gerald DeGray

Gerald DeGray is a scholar working on Molecular Biology, Immunology, Virology, Oncology and Infectious Diseases, having authored 10 papers that have together received 375 indexed citations. Recurring topics across this work include HIV Research and Treatment (2 papers), Immune Cell Function and Interaction (2 papers), Estrogen and related hormone effects (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Heat shock proteins research (1 paper), S100 Proteins and Annexins (1 paper), HIV-related health complications and treatments (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Virology (61 citations), Biotechnology (112 citations), Microbiology (51 citations), Molecular Biology (211 citations) and Immunology (52 citations). Gerald DeGray has collaborated with scholars based in United States. Frequent co-authors include Franzine Smith, John C. Sanford, Henry Daniell, Kanniah Rajasekaran, Gabriel Benton, Hynda K. Kleinman, Irina Arnaoutova, Jay George, Hiromi Imamichi and Irini Sereti. Their work appears in journals such as Journal of Biological Chemistry, Cytokine, PLANT PHYSIOLOGY, PLoS ONE and The Journal of 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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