John Booth
Impact in
- Neurology top 10%
- Long-Term Effects of COVID-19
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- Antifungal resistance and susceptibility
Papers in
-
- Electronic Health Records Systems 4
-
- Machine Learning in Healthcare 8
- Co-authors
- Joseph Frank Standing (7 shared papers)Adam Irwin (3 shared papers)Frank Kloprogge (2 shared papers)Neil James Sebire (18 shared papers)Robert Chiesa (3 shared papers)Nigel J. Klein (3 shared papers)William A Bryant (10 shared papers)Andrew Mayall Taylor (8 shared papers)
- Journals
- EClinicalMedicine (4 papers)Journal of Cystic Fibrosis (3 papers)npj Digital Medicine (2 papers)Journal of Antimicrobial Chemotherapy (2 papers)JAMA Network Open (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
John Booth
37 papers receiving 609 citations
Peers
Comparison fields: 5 of 78
- Neurology 140
- Infectious Diseases 128
- Applied Microbiology and Biotechnology 16
- Health Informatics 16
- Nephrology 38
Countries citing papers authored by John Booth
This map shows the geographic impact of John Booth'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 John Booth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Booth more than expected).
Fields of papers citing papers by John Booth
This network shows the impact of papers produced by John Booth. 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 John Booth. The network helps show where John Booth may publish in the future.
Co-authors
The 25 scholars most cited alongside John Booth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 104 | |
| 2 | 2022 | 54 | |
| 3 | 2018 | 48 | |
| 4 | 2019 | 38 | |
| 5 | 2018 | 36 | |
| 6 | 2024 | 30 | |
| 7 | 2021 | 28 | |
| 8 | 2019 | 26 | |
| 9 | 2023 | 24 | |
| 10 | 2022 | 23 | |
| 11 | 2023 | 23 | |
| 12 | 2023 | 22 | |
| 13 | 2022 | 18 | |
| 14 | 2023 | 17 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2023 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2022 | 13 | |
| 20 | 2020 | 11 |
About John Booth
John Booth is a scholar working on Health Information Management, Artificial Intelligence, Neurology, Epidemiology and Applied Microbiology and Biotechnology, having authored 46 papers that have together received 629 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (8 papers), Long-Term Effects of COVID-19 (4 papers), Electronic Health Records Systems (4 papers), Cystic Fibrosis Research Advances (4 papers), Hemodynamic Monitoring and Therapy (3 papers), Epilepsy research and treatment (3 papers), COVID-19 Clinical Research Studies (3 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Neurology (140 citations), Infectious Diseases (128 citations), Applied Microbiology and Biotechnology (16 citations), Health Informatics (16 citations) and Nephrology (38 citations). John Booth has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Joseph Frank Standing, Adam Irwin, Frank Kloprogge, Neil James Sebire, Robert Chiesa, Nigel J. Klein, William A Bryant, Andrew Mayall Taylor, Garth L. J. Dixon and Amy McTague. Their work appears in journals such as EClinicalMedicine, Journal of Cystic Fibrosis, npj Digital Medicine, Journal of Antimicrobial Chemotherapy and JAMA Network Open.
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.