Stephen Mutoloki
Impact in
- Immunology top 1%
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
- interferon and immune responses
- Endocrinology top 1%
- Vibrio bacteria research studies
Papers in
- Immunology 42
- Aquaculture disease management and microbiota 41
- interferon and immune responses 5
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- Animal Virus Infections Studies 19
- Co-authors
- Øystein Evensen (47 shared papers)Hetron Mweemba Munang’andu (26 shared papers)Kizito K. Mugimba (8 shared papers)Øystein Evensen (5 shared papers)Denis K. Byarugaba (5 shared papers)Bjørn Brudeseth (4 shared papers)Børge Nilsen Fredriksen (3 shared papers)Roy A. Dalmo (3 shared papers)
In The Last Decade
Stephen Mutoloki
60 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 88
- Immunology 1.5k
- Endocrinology 365
- Aquatic Science 450
- Animal Science and Zoology 335
- Microbiology 135
Countries citing papers authored by Stephen Mutoloki
This map shows the geographic impact of Stephen Mutoloki'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 Stephen Mutoloki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Mutoloki more than expected).
Fields of papers citing papers by Stephen Mutoloki
This network shows the impact of papers produced by Stephen Mutoloki. 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 Stephen Mutoloki. The network helps show where Stephen Mutoloki may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Mutoloki, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 144 | |
| 2 | 2018 | 108 | |
| 3 | 2004 | 102 | |
| 4 | 2018 | 84 | |
| 5 | 2010 | 78 | |
| 6 | 2013 | 68 | |
| 7 | 2015 | 59 | |
| 8 | 2005 | 58 | |
| 9 | 2015 | 57 | |
| 10 | 2016 | 57 | |
| 11 | 2012 | 56 | |
| 12 | 2018 | 53 | |
| 13 | 2021 | 53 | |
| 14 | 2012 | 51 | |
| 15 | The vaccine formulation and its role in inflammatory processes in fish--effects and adverse effects. | 2005 | 50 |
| 16 | 2013 | 45 | |
| 17 | 2010 | 44 | |
| 18 | 2016 | 38 | |
| 19 | 2012 | 38 | |
| 20 | 2017 | 37 |
About Stephen Mutoloki
Stephen Mutoloki is a scholar working on Immunology, Animal Science and Zoology, Infectious Diseases, Endocrinology and Aquatic Science, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (41 papers), Animal Virus Infections Studies (19 papers), Vibrio bacteria research studies (9 papers), interferon and immune responses (5 papers), Aquaculture Nutrition and Growth (5 papers), Microbial infections and disease research (5 papers), Viral Infections and Vectors (5 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). The work is most often cited by research in Immunology (1.5k citations), Endocrinology (365 citations), Aquatic Science (450 citations), Animal Science and Zoology (335 citations) and Microbiology (135 citations). Stephen Mutoloki has collaborated with scholars based in Norway, Zambia and Tanzania. Frequent co-authors include Øystein Evensen, Hetron Mweemba Munang’andu, Kizito K. Mugimba, Øystein Evensen, Denis K. Byarugaba, Bjørn Brudeseth, Børge Nilsen Fredriksen, Roy A. Dalmo, Inderjit S. Marjara and Cheng Xu. Their work appears in journals such as Journal of Fish Diseases, Viruses, Fish & Shellfish Immunology, PLoS ONE and Vaccine.
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.