Daniel Langat
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- Vibrio bacteria research studies 14
- Virology 3
- Poxvirus research and outbreaks 3
- Co-authors
- Ian Njeru (7 shared papers)Edith Koskei (2 shared papers)Rosemary C. Sang (2 shared papers)Hellen Koka (2 shared papers)Albert Nyunja (2 shared papers)Fredrick Lunyagi Eyase (2 shared papers)Samson Limbaso Konongoi (2 shared papers)Victor Ofula (2 shared papers)
- Journals
- PLoS neglected tropical diseases (4 papers)The Journal of Infectious Diseases (2 papers)MMWR Morbidity and Mortality Weekly Report (2 papers)PLoS ONE (2 papers)BMC Public Health (2 papers)
- Partner nations
- KenyaUnited StatesUganda
In The Last Decade
Daniel Langat
26 papers receiving 388 citations
Peers
Comparison fields: 5 of 47
- Endocrinology 132
- Applied Microbiology and Biotechnology 11
- Public Health, Environmental and Occupational Health 111
- Virology 11
- Molecular Medicine 13
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 66 | |
| 2 | 2013 | 35 | |
| 3 | 2014 | 31 | |
| 4 | 2018 | 31 | |
| 5 | 2016 | 29 | |
| 6 | 2016 | 25 | |
| 7 | 2020 | 24 | |
| 8 | 2013 | 18 | |
| 9 | 2018 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2022 | 17 | |
| 12 | 2018 | 16 | |
| 13 | 2014 | 14 | |
| 14 | 2023 | 14 | |
| 15 | 2019 | 12 | |
| 16 | 2020 | 9 | |
| 17 | 2025 | 8 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 4 |
About Daniel Langat
Daniel Langat is a scholar working on Endocrinology, Virology, Infectious Diseases, Epidemiology and Food Science, having authored 28 papers that have together received 410 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (14 papers), Poxvirus research and outbreaks (3 papers), Data-Driven Disease Surveillance (2 papers), Mosquito-borne diseases and control (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Disaster Response and Management (1 paper), COVID-19 Clinical Research Studies (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Endocrinology (132 citations), Applied Microbiology and Biotechnology (11 citations), Public Health, Environmental and Occupational Health (111 citations), Virology (11 citations) and Molecular Medicine (13 citations). Daniel Langat has collaborated with scholars based in Kenya, United States and Uganda. Frequent co-authors include Ian Njeru, Edith Koskei, Rosemary C. Sang, Hellen Koka, Albert Nyunja, Fredrick Lunyagi Eyase, Samson Limbaso Konongoi, Victor Ofula, Albina O. Makio and Rodney L. Coldren. Their work appears in journals such as PLoS neglected tropical diseases, The Journal of Infectious Diseases, MMWR Morbidity and Mortality Weekly Report, PLoS ONE and BMC Public 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.