Daniel Langat
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Vibrio bacteria research studies 11
-
- Viral Infections and Outbreaks Research 2
- Co-authors
- Ian Njeru (7 shared papers)Albert Nyunja (2 shared papers)Victor Ofula (2 shared papers)Rosemary Sang (2 shared papers)Samson Konongoi (2 shared papers)Fredrick Eyase (2 shared papers)Hellen Koka (2 shared papers)Edith Koskei (2 shared papers)
- Journals
- PLoS neglected tropical diseases (3 papers)BMC Infectious Diseases (2 papers)BMC Public Health (2 papers)The Journal of Infectious Diseases (2 papers)PLoS ONE (2 papers)
- Partner nations
- KenyaUnited StatesSwitzerland
In The Last Decade
Daniel Langat
20 papers receiving 318 citations
Peers
Comparison fields: 5 of 54
- Endocrinology 119
- Modeling and Simulation 37
- Infectious Diseases 87
- Public Health, Environmental and Occupational Health 95
- Nutrition and Dietetics 48
Countries citing papers authored by Daniel Langat
This map shows the geographic impact of Daniel Langat'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 Daniel Langat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Langat more than expected).
Fields of papers citing papers by Daniel Langat
This network shows the impact of papers produced by Daniel Langat. 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 Daniel Langat. The network helps show where Daniel Langat may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Langat, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 54 | |
| 2 | 2013 | 33 | |
| 3 | 2014 | 30 | |
| 4 | 2018 | 30 | |
| 5 | 2016 | 27 | |
| 6 | 2020 | 21 | |
| 7 | 2018 | 18 | |
| 8 | 2018 | 18 | |
| 9 | 2013 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2023 | 13 | |
| 12 | 2014 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2020 | 9 | |
| 15 | 2023 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2022 | 4 | |
| 18 | Treatment of shigella infections: why sulfamethoxazole-trimethoprim, tetracyclines and ampicillin should no longer be used. | 2016 | 3 |
| 19 | 2024 | 2 | |
| 20 | 2021 | 1 |
About Daniel Langat
Daniel Langat is a scholar working on Endocrinology, Infectious Diseases, Public Health, Environmental and Occupational Health, Nutrition and Dietetics and Modeling and Simulation, having authored 21 papers that have together received 330 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (11 papers), COVID-19 epidemiological studies (4 papers), Child Nutrition and Water Access (4 papers), Virology and Viral Diseases (2 papers), Mosquito-borne diseases and control (2 papers), Viral Infections and Outbreaks Research (2 papers), Travel-related health issues (2 papers) and Blood donation and transfusion practices (1 paper). The work is most often cited by research in Endocrinology (119 citations), Modeling and Simulation (37 citations), Infectious Diseases (87 citations), Public Health, Environmental and Occupational Health (95 citations) and Nutrition and Dietetics (48 citations). Daniel Langat has collaborated with scholars based in Kenya, United States and Switzerland. Frequent co-authors include Ian Njeru, Albert Nyunja, Victor Ofula, Rosemary Sang, Samson Konongoi, Fredrick Eyase, Hellen Koka, Edith Koskei, Samuel Kariuki and David Mutonga. Their work appears in journals such as PLoS neglected tropical diseases, BMC Infectious Diseases, BMC Public Health, The 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.