Jason McDermott

121 papers receiving 4.5k citations

Hit Papers

Co-expression of CD39 and CD103 identifies tumor-reactive CD8 T cells in human solid tumors 2018 · 564 citations
5642010202620152020100200300400500

Peers

Jason McDermott
Comparison fields: 5 of 163
  • Virology 355
  • Endocrinology 353
  • Immunology 762
  • Molecular Biology 2.3k
  • Infectious Diseases 490
Replace John‐Marc Chandonia with:
John‐Marc Chandonia United States
Evgeny Krissinel United Kingdom
Michal Sharon Israel
Lim Heo United States
John Welsh United States
Lydie Bougueleret Switzerland
Steven H. Hinrichs United States
Kevin Bryson United Kingdom
Mark N. Wass United Kingdom
Gilbert Deléage France
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Citations per field
00.5×1.7×
John‐Marc Chandonia · 1×
Citations per year

Countries citing papers authored by Jason McDermott

Since Specialization
Citations

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

Fields of papers citing papers by Jason McDermott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202411
3 20233
4 20237
5 202235
6 202167
7 20212
8 201922
9 201694
10 201343
11 201224
12 201118
13 201115
14 201040
15 20108
16 201019
17 200587
18 200518
19 200216
20 200238

About Jason McDermott

Jason McDermott is a scholar working on Endocrinology, Virology, Molecular Biology, Ecology and Genetics, having authored 122 papers that have together received 4.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (35 papers), Bacteriophages and microbial interactions (19 papers), Metabolomics and Mass Spectrometry Studies (15 papers), Bacterial Genetics and Biotechnology (14 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), Salmonella and Campylobacter epidemiology (11 papers), Genomics and Phylogenetic Studies (10 papers) and Gene expression and cancer classification (10 papers). The work is most often cited by research in Virology (355 citations), Endocrinology (353 citations), Immunology (762 citations), Molecular Biology (2.3k citations) and Infectious Diseases (490 citations). Jason McDermott has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Fred Heffron, Ram Samudrala, Richard Smith, Eric Barklis, Katrina M. Waters, Karin Rodland, Joshua Adkins, Thomas Metz, Hyunjin Yoon and Bobbie‐Jo Webb‐Robertson. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, Molecular BioSystems, BMC Systems Biology and Journal of Virology.

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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