Justin Wilkins
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 6
- Pharmacology top 5%
- Antibiotics Pharmacokinetics and Efficacy 7
- Pharmacology top 5%
- Antibiotics Pharmacokinetics and Efficacy 7
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials 6
- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 4
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- Drug Transport and Resistance Mechanisms 7
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- Diabetes Management and Research 3
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- Diabetes and associated disorders 3
- Co-authors
- Helen McIlleronUlrika S. H. SimonssonPeter J. SmithGrant LangdonGoonaseelan PillaiMats O. KarlssonClive H. Wilder‐SmithRadojka M. Savić
- Cited by
- Infectious DiseasesPharmacology
- Journals
- CPT Pharmacometrics & Systems Pharmacology (7 papers)Antimicrobial Agents and Chemotherapy (5 papers)Clinical Pharmacology & Therapeutics (3 papers)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Justin Wilkins
48 papers receiving 900 citations
Peers
Comparison fields: 5 of 115
- Infectious Diseases 275
- Pharmacology 202
- Pharmacology 99
- Statistics and Probability 79
- Oncology 201
Countries citing papers authored by Justin Wilkins
This map shows the geographic impact of Justin Wilkins'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 Justin Wilkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Wilkins more than expected).
Fields of papers citing papers by Justin Wilkins
This network shows the impact of papers produced by Justin Wilkins. 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 Justin Wilkins. The network helps show where Justin Wilkins may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Justin Wilkins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 22 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 2 | |
| 8 | 2019 | 15 | |
| 9 | 2019 | 44 | |
| 10 | 2018 | 2 | |
| 11 | 2017 | 6 | |
| 12 | 2017 | 26 | |
| 13 | 2013 | 9 | |
| 14 | 2012 | 6 | |
| 15 | 2011 | 78 | |
| 16 | 2010 | 4 | |
| 17 | 2009 | 6 | |
| 18 | 2002 | 9 | |
| 19 | 2000 | 2 | |
| 20 | 1999 | 73 |
About Justin Wilkins
Justin Wilkins is a scholar working on Statistics and Probability, Pharmacology and Oncology, having authored 50 papers that have together received 925 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (7 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Statistical Methods in Clinical Trials (6 papers), Tuberculosis Research and Epidemiology (6 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers), Diabetes Management and Research (3 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Infectious Diseases (275 citations), Pharmacology (202 citations) and Pharmacology (99 citations). Justin Wilkins has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Helen McIlleron, Ulrika S. H. Simonsson, Peter J. Smith, Grant Langdon, Goonaseelan Pillai, Mats O. Karlsson, Clive H. Wilder‐Smith, Radojka M. Savić, Lauren Hill and Lynnette Denny. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Antimicrobial Agents and Chemotherapy, Clinical Pharmacology & Therapeutics, Journal of Pharmacokinetics and Pharmacodynamics and Diabetes.
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.