Kasim Allel
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Tuberculosis Research and Epidemiology 4
- HIV/AIDS Research and Interventions 2
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- Antibiotic Use and Resistance 6
- Co-authors
- Laith Yakob (9 shared papers)Luis Furuya‐Kanamori (8 shared papers)Leesa Lin (2 shared papers)Catrin E. Moore (2 shared papers)Esteban Calvo (5 shared papers)Ursula M. Staudinger (4 shared papers)Thomas P. Van Boeckel (1 shared paper)Ramanan Laxminarayan (1 shared paper)
- Journals
- The Lancet Regional Health - Americas (4 papers)Journal of Travel Medicine (4 papers)BMJ Global Health (2 papers)International Journal of Infectious Diseases (2 papers)PLoS ONE (2 papers)
- Partner nations
- United KingdomChileUnited States
In The Last Decade
Kasim Allel
45 papers receiving 571 citations
Kasim Allel's Hit Papers
Peers
Comparison fields: 5 of 109
- Applied Microbiology and Biotechnology 97
- Molecular Medicine 86
- Virology 26
- Pollution 64
- Health 34
Countries citing papers authored by Kasim Allel
This map shows the geographic impact of Kasim Allel'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 Kasim Allel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kasim Allel more than expected).
Fields of papers citing papers by Kasim Allel
This network shows the impact of papers produced by Kasim Allel. 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 Kasim Allel. The network helps show where Kasim Allel may publish in the future.
Co-authors
The 25 scholars most cited alongside Kasim Allel, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global antimicrobial-resistance drivers: an ecological country-level study at the human–animal interface Hit paper breakdown → | 2023 | 143 |
| 2 | 2019 | 42 | |
| 3 | 2023 | 38 | |
| 4 | 2020 | 28 | |
| 5 | 2022 | 25 | |
| 6 | 2020 | 25 | |
| 7 | 2022 | 23 | |
| 8 | 2020 | 23 | |
| 9 | 2023 | 22 | |
| 10 | 2020 | 21 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2019 | 14 | |
| 14 | 2021 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2024 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2022 | 8 |
About Kasim Allel
Kasim Allel is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Epidemiology, Public Health, Environmental and Occupational Health and Molecular Medicine, having authored 49 papers that have together received 582 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (6 papers), Antibiotic Resistance in Bacteria (5 papers), Tuberculosis Research and Epidemiology (4 papers), Early Childhood Education and Development (3 papers), Health disparities and outcomes (3 papers), COVID-19 epidemiological studies (2 papers), HIV/AIDS Research and Interventions (2 papers) and Climate Change and Health Impacts (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (97 citations), Molecular Medicine (86 citations), Virology (26 citations), Pollution (64 citations) and Health (34 citations). Kasim Allel has collaborated with scholars based in United Kingdom, Chile and United States. Frequent co-authors include Laith Yakob, Luis Furuya‐Kanamori, Leesa Lin, Catrin E. Moore, Esteban Calvo, Ursula M. Staudinger, Thomas P. Van Boeckel, Ramanan Laxminarayan, Alisa Hamilton and Eduardo A. Undurraga. Their work appears in journals such as The Lancet Regional Health - Americas, Journal of Travel Medicine, BMJ Global Health, International Journal of Infectious Diseases 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.