Samuel Kelava
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
-
- Viral Infections and Vectors
Papers in
- Parasitology 20
- Vector-borne infectious diseases 19
-
- Viral Infections and Vectors 10
- Co-authors
- Stephen C. Barker (18 shared papers)Dayana Barker (14 shared papers)Ryo Nakao (18 shared papers)Renfu Shao (10 shared papers)Ben J. Mans (11 shared papers)Mohamed Abdallah Mohamed Moustafa (5 shared papers)Ze Chen (3 shared papers)Keita Matsuno (5 shared papers)
- Journals
- Ticks and Tick-borne Diseases (6 papers)Zootaxa (4 papers)International Journal for Parasitology (3 papers)Acta Tropica (2 papers)BMC Genomics (2 papers)
- Partner nations
- AustraliaJapanSouth Africa
In The Last Decade
Samuel Kelava
19 papers receiving 210 citations
Peers
Comparison fields: 5 of 23
- Parasitology 180
- Infectious Diseases 100
- Insect Science 45
- Ecology, Evolution, Behavior and Systematics 56
- Endocrinology 12
Countries citing papers authored by Samuel Kelava
This map shows the geographic impact of Samuel Kelava'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 Kelava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Kelava more than expected).
Fields of papers citing papers by Samuel Kelava
This network shows the impact of papers produced by Samuel Kelava. 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 Kelava. The network helps show where Samuel Kelava may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Kelava, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 48 | |
| 2 | 2021 | 47 | |
| 3 | 2020 | 22 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 14 | |
| 6 | 2020 | 13 | |
| 7 | 2024 | 10 | |
| 8 | 2021 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2025 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Samuel Kelava
Samuel Kelava is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Insect Science and Ecology, having authored 23 papers that have together received 212 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (19 papers), Viral Infections and Vectors (10 papers), Study of Mite Species (5 papers), Insect and Pesticide Research (3 papers), Parasite Biology and Host Interactions (3 papers), Insects and Parasite Interactions (2 papers), Mosquito-borne diseases and control (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Parasitology (180 citations), Infectious Diseases (100 citations), Insect Science (45 citations), Ecology, Evolution, Behavior and Systematics (56 citations) and Endocrinology (12 citations). Samuel Kelava has collaborated with scholars based in Australia, Japan and South Africa. Frequent co-authors include Stephen C. Barker, Dayana Barker, Ryo Nakao, Renfu Shao, Ben J. Mans, Mohamed Abdallah Mohamed Moustafa, Ze Chen, Keita Matsuno, Ai Takano and Hiroki Kawabata. Their work appears in journals such as Ticks and Tick-borne Diseases, Zootaxa, International Journal for Parasitology, Acta Tropica and BMC Genomics.
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.