Jonathan Stokes

77 papers receiving 4.8k citations

Jonathan Stokes's Hit Papers

Clinically relevant mutations in core metabolic genes confer antibiotic resistance 2021 · 255 citations
2550+2+4Years since publication4008001.2k

Peers

Jonathan Stokes
Comparison fields: 5 of 190
  • Molecular Medicine 944
  • Applied Microbiology and Biotechnology 119
  • Microbiology 377
  • Health Informatics 60
  • Computational Theory and Mathematics 665
Replace Shawn French with:
Shawn French Canada
Craig R. MacNair Canada
Ali A. Rabaan Saudi Arabia
Lindsey A. Carfrae Canada
Chih‐Cheng Lai Taiwan
Hung-Jen Tang Taiwan
Timothy D. McHugh United Kingdom
Eric D. Brown Canada
Ian W. Andrews United States
C Lee Ventola France
Jonathan Stokes relative to Shawn French Canada Shawn French's profile →
Citations per field
00.5×1.5×1.9×
Shawn French · 1×
Citations per year

Countries citing papers authored by Jonathan Stokes

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Stokes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Deep Learning Approach to Antibiotic Discovery
Hit paper breakdown →
20201468
2
Bacterial Metabolism and Antibiotic Efficacy
Hit paper breakdown →
2019444
3 2017280
4
Clinically relevant mutations in core metabolic genes confer antibiotic resistance
Hit paper breakdown →
2021255
5 2018221
6 2019181
7 2015157
8 2021123
9 2016110
10 2017107
11 202187
12 201586
13 202179
14 201475
15 202075
16 201672
17 201857
18 201956
19 201851
20 202149

About Jonathan Stokes

Jonathan Stokes is a scholar working on Epidemiology, General Health Professions, Molecular Biology, Genetics and Molecular Medicine, having authored 78 papers that have together received 4.9k indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (22 papers), Primary Care and Health Outcomes (11 papers), Antibiotic Resistance in Bacteria (10 papers), Bacterial Genetics and Biotechnology (8 papers), Computational Drug Discovery Methods (7 papers), Interprofessional Education and Collaboration (6 papers), Healthcare Policy and Management (6 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). The work is most often cited by research in Molecular Medicine (944 citations), Applied Microbiology and Biotechnology (119 citations), Microbiology (377 citations), Health Informatics (60 citations) and Computational Theory and Mathematics (665 citations). Jonathan Stokes has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include James J. Collins, Eric D. Brown, Allison J. Lopatkin, Shawn French, Craig R. MacNair, Michael A. Lobritz, Lindsey A. Carfrae, Ahmed H. Badran, Tommi Jaakkola and Regina Barzilay. Their work appears in journals such as BMC Health Services Research, Health Policy, Cell chemical biology, BMC Public Health and PLoS ONE.

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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