Samuel Assefa
Impact in
- Parasitology top 5%
- Endocrinology top 5%
Papers in
-
- Malaria Research and Control 13
- Mosquito-borne diseases and control 3
-
- Genomics and Phylogenetic Studies 5
- vaccines and immunoinformatics approaches 4
- RNA and protein synthesis mechanisms 2
- Co-authors
- Thomas Keane (2 shared papers)Thomas D. Otto (1 shared paper)Chris Newbold (1 shared paper)Matthew Berriman (1 shared paper)David J. Conway (8 shared papers)Taane G. Clark (9 shared papers)Dominic Kwiatkowski (7 shared papers)Julian Parkhill (3 shared papers)
- Journals
- Bioinformatics (3 papers)Scientific Reports (2 papers)Malaria Journal (2 papers)BMC Genomics (2 papers)PLoS ONE (2 papers)
- Partner nations
- United KingdomUnited StatesEthiopia
In The Last Decade
Samuel Assefa
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Parasitology 147
- Endocrinology 80
- Public Health, Environmental and Occupational Health 440
- Molecular Medicine 60
- Infectious Diseases 174
Countries citing papers authored by Samuel Assefa
This map shows the geographic impact of Samuel Assefa'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 Samuel Assefa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Assefa more than expected).
Fields of papers citing papers by Samuel Assefa
This network shows the impact of papers produced by Samuel Assefa. 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 Samuel Assefa. The network helps show where Samuel Assefa may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Assefa, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 330 | |
| 2 | 2009 | 194 | |
| 3 | 2020 | 99 | |
| 4 | 2009 | 79 | |
| 5 | 2015 | 68 | |
| 6 | 2015 | 68 | |
| 7 | 2013 | 56 | |
| 8 | 2011 | 53 | |
| 9 | 2014 | 53 | |
| 10 | 2013 | 51 | |
| 11 | 2017 | 46 | |
| 12 | 1999 | 34 | |
| 13 | 2015 | 24 | |
| 14 | 2020 | 24 | |
| 15 | 2017 | 20 | |
| 16 | 2013 | 20 | |
| 17 | 2016 | 17 | |
| 18 | 2013 | 16 | |
| 19 | 2016 | 16 | |
| 20 | 2012 | 7 |
About Samuel Assefa
Samuel Assefa is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Genetics, Immunology and Parasitology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Malaria Research and Control (13 papers), Genomics and Phylogenetic Studies (5 papers), Invertebrate Immune Response Mechanisms (4 papers), vaccines and immunoinformatics approaches (4 papers), Mosquito-borne diseases and control (3 papers), Computational Drug Discovery Methods (2 papers), Aquaculture disease management and microbiota (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Parasitology (147 citations), Endocrinology (80 citations), Public Health, Environmental and Occupational Health (440 citations), Molecular Medicine (60 citations) and Infectious Diseases (174 citations). Samuel Assefa has collaborated with scholars based in United Kingdom, United States and Ethiopia. Frequent co-authors include Thomas Keane, Thomas D. Otto, Chris Newbold, Matthew Berriman, David J. Conway, Taane G. Clark, Dominic Kwiatkowski, Julian Parkhill, Craig W. Duffy and Susana Campino. Their work appears in journals such as Bioinformatics, Scientific Reports, Malaria Journal, BMC Genomics and PLoS ONE.
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.