Jayce D. Sudweeks

657 citations
14 papers · 568 · h-index 10

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

Jayce D. Sudweeks

14 papers receiving 551 citations

Peers

Jayce D. Sudweeks
Comparison fields: 5 of 81
  • Immunology 258
  • Genetics 147
  • Pathology and Forensic Medicine 84
  • Business and International Management 8
  • Gastroenterology 19
Replace Maria Strazzullo with:
Maria Strazzullo Italy
Thomas J. Gill United States
J. Wolf Germany
Y Nakao Japan
Karen Halls United Kingdom
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Josef Bodor United States
Schneider Germany
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Citations per field
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Citations per year

Countries citing papers authored by Jayce D. Sudweeks

Since Specialization
Citations

This map shows the geographic impact of Jayce D. 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 D. 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 D. Sudweeks more than expected).

Fields of papers citing papers by Jayce D. Sudweeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1998135
2 1999101
3 199374
4 199246
5 199542
6 199540
7
Locus conteolling Bordetella perussis-induced histamine sensitization(Bphs), an autoimmune disease-susceptibility gene, chromosome 6
199339
8 201733
9 201817
10 201813
11 199310
12 20178
13 19947
14 19953

About Jayce D. Sudweeks

Jayce D. Sudweeks is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 568 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Plant Reproductive Biology (2 papers), Insect Resistance and Genetics (2 papers), T-cell and B-cell Immunology (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetically Modified Organisms Research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Immunology (258 citations), Genetics (147 citations), Pathology and Forensic Medicine (84 citations), Business and International Management (8 citations) and Gastroenterology (19 citations). Jayce D. Sudweeks has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Cory Teuscher, Elizabeth P. Blankenhorn, Russell J. Butterfield, Randall J. Roper, John A. Todd, Scott R. Woodward, Robert Korngold, Nathan D. Meeker, Bryan B. Wardell and Joseph C. Marini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Mammalian Genome, Journal of Responsible Innovation, The Journal of Immunology 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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