Ian Njeru
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Viral Infections and Outbreaks Research 6
- Viral Infections and Vectors 3
-
- Data-Driven Disease Surveillance 4
- Co-authors
- Daniel Langat (7 shared papers)Rosemary Sang (5 shared papers)Bernard Bett (6 shared papers)Salome A. Bukachi (5 shared papers)Delia Grace (5 shared papers)Johanna F. Lindahl (5 shared papers)Dejan Zurovac (4 shared papers)Mitsuru Toda (4 shared papers)
- Journals
- PLoS neglected tropical diseases (3 papers)BMC Public Health (3 papers)International Journal of Infectious Diseases (2 papers)PLoS ONE (2 papers)BMC Infectious Diseases (2 papers)
- Partner nations
- KenyaUnited StatesRepublic of the Congo
In The Last Decade
Ian Njeru
29 papers receiving 496 citations
Peers
Comparison fields: 5 of 63
- Endocrinology 73
- Modeling and Simulation 61
- Infectious Diseases 206
- Public Health, Environmental and Occupational Health 140
- Parasitology 31
Countries citing papers authored by Ian Njeru
This map shows the geographic impact of Ian Njeru'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 Ian Njeru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Njeru more than expected).
Fields of papers citing papers by Ian Njeru
This network shows the impact of papers produced by Ian Njeru. 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 Ian Njeru. The network helps show where Ian Njeru may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Njeru, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 54 | |
| 2 | 2016 | 49 | |
| 3 | 2014 | 41 | |
| 4 | 2013 | 32 | |
| 5 | 2017 | 28 | |
| 6 | 2017 | 27 | |
| 7 | 2016 | 27 | |
| 8 | 2018 | 24 | |
| 9 | 2019 | 24 | |
| 10 | 2016 | 24 | |
| 11 | 2016 | 23 | |
| 12 | 2022 | 20 | |
| 13 | 2015 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2016 | 15 | |
| 16 | 2013 | 15 | |
| 17 | 2016 | 14 | |
| 18 | 2022 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2017 | 9 |
About Ian Njeru
Ian Njeru is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Endocrinology and Health, having authored 31 papers that have together received 510 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (6 papers), Data-Driven Disease Surveillance (4 papers), Zoonotic diseases and public health (4 papers), Vibrio bacteria research studies (4 papers), Vaccine Coverage and Hesitancy (3 papers), ICT in Developing Communities (3 papers), Viral Infections and Vectors (3 papers) and Mobile Health and mHealth Applications (2 papers). The work is most often cited by research in Endocrinology (73 citations), Modeling and Simulation (61 citations), Infectious Diseases (206 citations), Public Health, Environmental and Occupational Health (140 citations) and Parasitology (31 citations). Ian Njeru has collaborated with scholars based in Kenya, United States and Republic of the Congo. Frequent co-authors include Daniel Langat, Rosemary Sang, Bernard Bett, Salome A. Bukachi, Delia Grace, Johanna F. Lindahl, Dejan Zurovac, Mitsuru Toda, Matilu Mwau and Dickens Onyango. Their work appears in journals such as PLoS neglected tropical diseases, BMC Public Health, International Journal of Infectious Diseases, PLoS ONE and BMC Infectious Diseases.
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.