Kayur Mehta
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS Research and Interventions 6
- SARS-CoV-2 and COVID-19 Research 3
- Epidemiology 10
- Pneumonia and Respiratory Infections 2
- Co-authors
- Anita Shet (17 shared papers)Carl Britto (2 shared papers)Brian Wahl (1 shared paper)Brody H. Foy (1 shared paper)Gautam I. Menon (1 shared paper)S Majhi (2 shared papers)Maria L. Ekstrand (4 shared papers)Elsa Heylen (4 shared papers)
- Journals
- International Journal of Infectious Diseases (2 papers)Open Forum Infectious Diseases (2 papers)PLoS ONE (2 papers)BMJ Paediatrics Open (1 paper)Journal of Global Health (1 paper)
- Partner nations
- IndiaUnited StatesNepal
In The Last Decade
Kayur Mehta
28 papers receiving 407 citations
Peers
Comparison fields: 5 of 72
- Modeling and Simulation 138
- Infectious Diseases 214
- Health 82
- Virology 21
- General Health Professions 81
Countries citing papers authored by Kayur Mehta
This map shows the geographic impact of Kayur Mehta'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 Kayur Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayur Mehta more than expected).
Fields of papers citing papers by Kayur Mehta
This network shows the impact of papers produced by Kayur Mehta. 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 Kayur Mehta. The network helps show where Kayur Mehta may publish in the future.
Co-authors
The 25 scholars most cited alongside Kayur Mehta, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 155 | |
| 2 | 2016 | 60 | |
| 3 | 2013 | 30 | |
| 4 | Hyperglycemia, glucose intolerance, hypertension and socioeconomic position in eastern Nepal. | 2011 | 29 |
| 5 | 2015 | 20 | |
| 6 | 2021 | 12 | |
| 7 | 2017 | 12 | |
| 8 | 2017 | 11 | |
| 9 | 2013 | 11 | |
| 10 | 2005 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2017 | 9 | |
| 13 | 2021 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2016 | 3 | |
| 20 | 2024 | 3 |
About Kayur Mehta
Kayur Mehta is a scholar working on Infectious Diseases, Epidemiology, General Health Professions, Pediatrics, Perinatology and Child Health and Oncology, having authored 30 papers that have together received 416 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (6 papers), Adolescent Sexual and Reproductive Health (4 papers), Vaccine Coverage and Hesitancy (3 papers), Global Maternal and Child Health (3 papers), COVID-19 Pandemic Impacts (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Pneumonia and Respiratory Infections (2 papers) and Child Nutrition and Water Access (2 papers). The work is most often cited by research in Modeling and Simulation (138 citations), Infectious Diseases (214 citations), Health (82 citations), Virology (21 citations) and General Health Professions (81 citations). Kayur Mehta has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Anita Shet, Carl Britto, Brian Wahl, Brody H. Foy, Gautam I. Menon, S Majhi, Maria L. Ekstrand, Elsa Heylen, Rupa Rajbhandari Singh and Nischit Baral. Their work appears in journals such as International Journal of Infectious Diseases, Open Forum Infectious Diseases, PLoS ONE, BMJ Paediatrics Open and Journal of Global Health.
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.