Stephen Mwaura
Impact in
- Parasitology top 0.5%
- Vector-borne infectious diseases
- Infectious Diseases top 5%
- Viral Infections and Vectors
Papers in
- Parasitology 25
- Vector-borne infectious diseases 25
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- Viral Infections and Vectors 15
- Co-authors
- Richard P. Bishop (16 shared papers)Robert A. Skilton (8 shared papers)Vishvanath Nene (3 shared papers)David Odongo (8 shared papers)Dan Lee (2 shared papers)A. S. Young (5 shared papers)John Quackenbush (2 shared papers)Claudia Daubenberger (5 shared papers)
- Journals
- Parasitology (5 papers)Ticks and Tick-borne Diseases (4 papers)Parasites & Vectors (4 papers)Vaccine (2 papers)Parasitology Research (2 papers)
- Partner nations
- KenyaUnited KingdomUnited States
In The Last Decade
Stephen Mwaura
29 papers receiving 769 citations
Peers
Comparison fields: 5 of 41
- Parasitology 676
- Infectious Diseases 346
- Ecology, Evolution, Behavior and Systematics 370
- Insect Science 232
- Immunology 70
Countries citing papers authored by Stephen Mwaura
This map shows the geographic impact of Stephen Mwaura'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 Mwaura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Mwaura more than expected).
Fields of papers citing papers by Stephen Mwaura
This network shows the impact of papers produced by Stephen Mwaura. 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 Mwaura. The network helps show where Stephen Mwaura may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Mwaura, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 91 | |
| 2 | 2002 | 73 | |
| 3 | 2002 | 73 | |
| 4 | 2006 | 62 | |
| 5 | 2005 | 54 | |
| 6 | 2019 | 52 | |
| 7 | 1993 | 42 | |
| 8 | 1993 | 39 | |
| 9 | 2015 | 36 | |
| 10 | 2016 | 29 | |
| 11 | 2011 | 26 | |
| 12 | 2015 | 24 | |
| 13 | 2009 | 23 | |
| 14 | 2015 | 20 | |
| 15 | 2016 | 20 | |
| 16 | 2015 | 20 | |
| 17 | 2016 | 16 | |
| 18 | 2010 | 15 | |
| 19 | 1995 | 15 | |
| 20 | 2012 | 13 |
About Stephen Mwaura
Stephen Mwaura is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Insect Science and Plant Science, having authored 29 papers that have together received 795 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (25 papers), Viral Infections and Vectors (15 papers), Vector-Borne Animal Diseases (10 papers), Insect and Pesticide Research (5 papers), Toxin Mechanisms and Immunotoxins (3 papers), Plant Virus Research Studies (3 papers), Study of Mite Species (2 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Parasitology (676 citations), Infectious Diseases (346 citations), Ecology, Evolution, Behavior and Systematics (370 citations), Insect Science (232 citations) and Immunology (70 citations). Stephen Mwaura has collaborated with scholars based in Kenya, United Kingdom and United States. Frequent co-authors include Richard P. Bishop, Robert A. Skilton, Vishvanath Nene, David Odongo, Dan Lee, A. S. Young, John Quackenbush, Claudia Daubenberger, J.M. Katende and Subhash Morzaria. Their work appears in journals such as Parasitology, Ticks and Tick-borne Diseases, Parasites & Vectors, Vaccine and Parasitology Research.
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.