Jayce Sudweeks

655 citations
14 papers · 568 · h-index 11

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Genetic Mapping and Diversity in Plants and Animals
    • Diabetes and associated disorders

Papers in

    • CRISPR and Genetic Engineering 3
    • Plant Reproductive Biology 2
    • RNA Research and Splicing 2
    • Genetic Mapping and Diversity in Plants and Animals 2

Jayce Sudweeks

14 papers receiving 553 citations

Peers

Jayce Sudweeks
Comparison fields: 5 of 84
  • Immunology 257
  • Genetics 149
  • Pathology and Forensic Medicine 81
  • Gastroenterology 19
  • Immunology and Allergy 19
Replace Hidetoshi Inoko with:
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Maria Strazzullo Italy
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T. J. Gill United States
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Mario Cervone France
Brigid Stirling United States
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Citations per field
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Citations per year

Countries citing papers authored by Jayce Sudweeks

Since Specialization
Citations

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

Fields of papers citing papers by Jayce Sudweeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1998134
2 199998
3 199375
4 199247
5 199542
6 199540
7
Locus conteolling Bordetella perussis-induced histamine sensitization(Bphs), an autoimmune disease-susceptibility gene, chromosome 6
199339
8 201730
9 201819
10 199312
11 201812
12 201710
13 19947
14 19953

About Jayce Sudweeks

Jayce Sudweeks is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 14 papers that have together received 568 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), CRISPR and Genetic Engineering (3 papers), Complex Systems and Decision Making (2 papers), T-cell and B-cell Immunology (2 papers), Plant Reproductive Biology (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic factors in colorectal cancer (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Immunology (257 citations), Genetics (149 citations), Pathology and Forensic Medicine (81 citations), Gastroenterology (19 citations) and Immunology and Allergy (19 citations). Jayce Sudweeks has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Cory Teuscher, Elizabeth P. Blankenhorn, John A. Todd, Russell J. Butterfield, Randall J. Roper, Scott R. Woodward, Nathan D. Meeker, Robert Korngold, B B Wardell and Joseph C. Marini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Mammalian Genome, The Journal of Immunology, Journal of Responsible Innovation and Journal of Reproductive 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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