Jonathan Swire

432 citations
8 papers · 348 · h-index 6

Impact in

Papers in

    • RNA and protein synthesis mechanisms 2
    • Genomics and Phylogenetic Studies 2
    • Bioinformatics and Genomic Networks 2
    • Microbial Metabolic Engineering and Bioproduction 2
    • Machine Learning in Bioinformatics 1
    • Genetics, Aging, and Longevity in Model Organisms 3

Jonathan Swire

7 papers receiving 340 citations

Peers

Jonathan Swire
Comparison fields: 5 of 74
  • Aging 108
  • Endocrine and Autonomic Systems 34
  • Biological Psychiatry 12
  • Molecular Biology 253
  • Biochemistry 16
Replace Woojin Kim with:
Woojin Kim United States
Yonghwan Choi South Korea
Dalia Barsyte Canada
Carlos Egydio de Carvalho Canada
Julia Tischler United Kingdom
Netta Shemesh Israel
Suraiya Haroon United States
Carol Bastiani United States
Elizabeth X. Kwan United States
Bastian Niebel Netherlands
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Citations per field
00.5×5.7×
Woojin Kim · 1×
Citations per year

Countries citing papers authored by Jonathan Swire

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Swire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Jonathan Swire, 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 Jonathan Swire Line = papers co-authored together Jonathan Swire links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown

About Jonathan Swire

Jonathan Swire is a scholar working on Molecular Biology, Aging, Astronomy and Astrophysics, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems, having authored 8 papers that have together received 348 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Complex Network Analysis Techniques (1 paper), Machine Learning in Bioinformatics (1 paper) and Fermentation and Sensory Analysis (1 paper). The work is most often cited by research in Aging (108 citations), Endocrine and Autonomic Systems (34 citations), Biological Psychiatry (12 citations), Molecular Biology (253 citations) and Biochemistry (16 citations). Jonathan Swire has collaborated with scholars based in United Kingdom and Denmark. Frequent co-authors include Armand M. Leroi, Jacob G. Bundy, Silke Fuchs, Sarah K. Davies, Olivia Judson, Austin Burt, Michael P. H. Stumpf, Sarah Butcher, Piers J. Ingram and Thomas Thorne. Their work appears in journals such as BMC Biology, Journal of Molecular Evolution, FEMS Yeast Research, Proceedings of the Royal Society B Biological Sciences and BMC Evolutionary Biology.

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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