Jay D. King

1.0k citations
35 papers · 841 · h-index 21

Impact in

Papers in

    • Antimicrobial Peptides and Activities 30
    • Biochemical and Structural Characterization 17
    • Lipid Membrane Structure and Behavior 3
    • RNA and protein synthesis mechanisms 1

Jay D. King

35 papers receiving 812 citations

Peers

Jay D. King
Comparison fields: 5 of 71
  • Microbiology 622
  • Global and Planetary Change 250
  • Immunology 193
  • Molecular Biology 458
  • Cellular and Molecular Neuroscience 107
Replace Rafael Marques-Porto with:
Rafael Marques-Porto Brazil
Maurice Charlet France
Daniela Marchini Italy
Henrike Schmidtberg Germany
Yong Hun Jo South Korea
Shane Fitzgerald Ireland
Javier Robalino United States
Mostafa Zamanian United States
Jannel Acosta Cuba
Vassilis J. Marmaras Greece
Jay D. King relative to Rafael Marques-Porto Brazil Rafael Marques-Porto's profile →
Citations per field
00.5×2×4×6×8.8×
Rafael Marques-Porto · 1×
Citations per year

Countries citing papers authored by Jay D. King

Since Specialization
Citations

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

Fields of papers citing papers by Jay D. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay D. King. 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 Jay D. King. The network helps show where Jay D. King may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200864
2 200953
3 200851
4 200447
5 201042
6 200441
7 201036
8 200934
9 201130
10 201229
11 201229
12 201128
13 200528
14 201128
15 201427
16 201125
17 201124
18 200621
19 201421
20 201121

About Jay D. King

Jay D. King is a scholar working on Microbiology, Molecular Biology, Global and Planetary Change, Genetics and Immunology, having authored 35 papers that have together received 841 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (30 papers), Biochemical and Structural Characterization (17 papers), Amphibian and Reptile Biology (15 papers), Venomous Animal Envenomation and Studies (8 papers), Aquaculture disease management and microbiota (6 papers), Lipid Membrane Structure and Behavior (3 papers), Invertebrate Immune Response Mechanisms (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Microbiology (622 citations), Global and Planetary Change (250 citations), Immunology (193 citations), Molecular Biology (458 citations) and Cellular and Molecular Neuroscience (107 citations). Jay D. King has collaborated with scholars based in United Arab Emirates, France and United States. Frequent co-authors include J. Michael Conlon, Thierry Jouenne, Laurent Coquet, Jérôme Leprince, Hubert Vaudry, Milena Mechkarska, Ellen S. Dierenfeld, Per F. Nielsen, Ágnes Sonnevend and Jolanta Kolodziejek. Their work appears in journals such as Peptides, Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology, Comparative Biochemistry and Physiology Part D Genomics and Proteomics, Zoo Biology and Toxicon.

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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