John Smith
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Genetics top 5%
- Genetic Associations and Epidemiology
Papers in
-
- COVID-19 Clinical Research Studies 9
- Genetics 5
- Genetic Associations and Epidemiology 5
- Co-authors
- Lorna M. Williamson (1 shared paper)Robin W. Carrell (1 shared paper)Paul L. Harper (1 shared paper)Anna Cavazza (1 shared paper)Salvatore Napoli (1 shared paper)Mark J.W. McPhail (1 shared paper)Salma F. Mujib (1 shared paper)Stephen C. Machnicki (1 shared paper)
- Journals
- JAMA (7 papers)Nature (4 papers)Intensive Care Medicine (2 papers)The Lancet (1 paper)Heliyon (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
John Smith
20 papers receiving 2.2k citations
John Smith's Hit Papers
Peers
Comparison fields: 5 of 95
- Infectious Diseases 1.2k
- Genetics 508
- Applied Microbiology and Biotechnology 33
- Neurology 90
- Internal Medicine 19
Countries citing papers authored by John Smith
This map shows the geographic impact of John Smith'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 Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Smith more than expected).
Fields of papers citing papers by John Smith
This network shows the impact of papers produced by John Smith. 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 Smith. The network helps show where John Smith may publish in the future.
Co-authors
The 19 scholars most cited alongside John Smith, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mapping the human genetic architecture of COVID-19 Hit paper breakdown → | 2021 | 656 |
| 2 | Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial Hit paper breakdown → | 2021 | 411 |
| 3 | Whole-genome sequencing reveals host factors underlying critical COVID-19 Hit paper breakdown → | 2022 | 233 |
| 4 | 2021 | 166 | |
| 5 | 2021 | 142 | |
| 6 | GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 Hit paper breakdown → | 2023 | 125 |
| 7 | 2022 | 105 | |
| 8 | 2022 | 100 | |
| 9 | 2021 | 72 | |
| 10 | 2023 | 62 | |
| 11 | 2023 | 60 | |
| 12 | 2023 | 46 | |
| 13 | 2022 | 45 | |
| 14 | 2023 | 41 | |
| 15 | 2023 | 34 | |
| 16 | 1991 | 12 | |
| 17 | 2024 | 8 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 1 |
About John Smith
John Smith is a scholar working on Infectious Diseases, Genetics, Hepatology, Critical Care and Intensive Care Medicine and Neurology, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), Genetic Associations and Epidemiology (5 papers), Sepsis Diagnosis and Treatment (2 papers), Liver Disease and Transplantation (2 papers), Sphingolipid Metabolism and Signaling (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Infectious Diseases (1.2k citations), Genetics (508 citations), Applied Microbiology and Biotechnology (33 citations), Neurology (90 citations) and Internal Medicine (19 citations). John Smith has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Lorna M. Williamson, Robin W. Carrell, Paul L. Harper, Anna Cavazza, Salvatore Napoli, Mark J.W. McPhail, Salma F. Mujib, Stephen C. Machnicki, Manjushree Gautam and Maria Therese Depante. Their work appears in journals such as JAMA, Nature, Intensive Care Medicine, The Lancet and Heliyon.
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.