Erick Komba
Impact in
- Parasitology top 5%
Papers in
-
- Viral Infections and Vectors 9
- Viral gastroenteritis research and epidemiology 8
- Food Science 16
- Salmonella and Campylobacter epidemiology 14
- Co-authors
- Mecky Matee (11 shared papers)Leonard E. G. Mboera (7 shared papers)Sharadhuli I. Kimera (4 shared papers)Peter L. M. Msoffe (4 shared papers)Dieudonné Mutangana (6 shared papers)Cheol‐Ho Pan (10 shared papers)Robinson H. Mdegela (3 shared papers)James Mlangwa (4 shared papers)
- Journals
- Antibiotics (3 papers)Frontiers in Veterinary Science (2 papers)Veterinary Parasitology (2 papers)PLoS ONE (2 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- TanzaniaRwandaUnited States
In The Last Decade
Erick Komba
38 papers receiving 543 citations
Peers
Comparison fields: 5 of 84
- Applied Microbiology and Biotechnology 37
- Parasitology 88
- Food Science 200
- Molecular Medicine 53
- Infectious Diseases 174
Countries citing papers authored by Erick Komba
This map shows the geographic impact of Erick Komba'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 Erick Komba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erick Komba more than expected).
Fields of papers citing papers by Erick Komba
This network shows the impact of papers produced by Erick Komba. 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 Erick Komba. The network helps show where Erick Komba may publish in the future.
Co-authors
The 25 scholars most cited alongside Erick Komba, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 68 | |
| 2 | 2013 | 63 | |
| 3 | 2020 | 47 | |
| 4 | 2014 | 37 | |
| 5 | 2015 | 35 | |
| 6 | 2020 | 32 | |
| 7 | 2014 | 27 | |
| 8 | 2022 | 27 | |
| 9 | 2021 | 24 | |
| 10 | 2021 | 22 | |
| 11 | 2023 | 20 | |
| 12 | 2021 | 20 | |
| 13 | 2021 | 19 | |
| 14 | 2020 | 17 | |
| 15 | 2015 | 14 | |
| 16 | 2013 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2014 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 8 |
About Erick Komba
Erick Komba is a scholar working on Infectious Diseases, Food Science, Epidemiology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 45 papers that have together received 568 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (14 papers), Viral Infections and Vectors (9 papers), Zoonotic diseases and public health (8 papers), Viral gastroenteritis research and epidemiology (8 papers), Animal Disease Management and Epidemiology (6 papers), Antibiotic Resistance in Bacteria (4 papers), Vibrio bacteria research studies (4 papers) and Virology and Viral Diseases (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (37 citations), Parasitology (88 citations), Food Science (200 citations), Molecular Medicine (53 citations) and Infectious Diseases (174 citations). Erick Komba has collaborated with scholars based in Tanzania, Rwanda and United States. Frequent co-authors include Mecky Matee, Leonard E. G. Mboera, Sharadhuli I. Kimera, Peter L. M. Msoffe, Dieudonné Mutangana, Cheol‐Ho Pan, Robinson H. Mdegela, James Mlangwa, Dominic Kambarage and Alexanda Mzula. Their work appears in journals such as Antibiotics, Frontiers in Veterinary Science, Veterinary Parasitology, PLoS ONE and Frontiers in Microbiology.
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.