Okeyo Mwai
- Genetics top 2%
- Agronomy and Crop Science top 2%
- Management, Monitoring, Policy and Law top 2%
- Animal Science and Zoology top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Olivier HanotteSeoae ChoYoung-Jun KwonTadelle DessieAynalem HaileStephen J. KempMaría WurzingerJohn P. Gibson
- Topics
- Genetic and phenotypic traits in livestock (40 papers)Rangeland Management and Livestock Ecology (20 papers)Livestock and Poultry Management (8 papers)
- Journals
- Nature GeneticsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- KenyaUnited KingdomAustria
In The Last Decade
Okeyo Mwai
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Genetics 823
- Agronomy and Crop Science 371
- Management, Monitoring, Policy and Law 305
- Animal Science and Zoology 283
- Ecology, Evolution, Behavior and Systematics 235
Countries citing papers authored by Okeyo Mwai
This map shows the geographic impact of Okeyo Mwai'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 Okeyo Mwai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Okeyo Mwai more than expected).
Fields of papers citing papers by Okeyo Mwai
This network shows the impact of papers produced by Okeyo Mwai. 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 Okeyo Mwai. The network helps show where Okeyo Mwai may publish in the future.
Co-authorship network of co-authors of Okeyo Mwai
This figure shows the co-authorship network connecting the top 25 collaborators of Okeyo Mwai. A scholar is included among the top collaborators of Okeyo Mwai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Okeyo Mwai. Okeyo Mwai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 20 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 58 | |
| 13 | 34 | |
| 14 | 73 | |
| 15 | 13 | |
| 16 | 77 | |
| 17 | 57 | |
| 18 | 198 | |
| 19 | Genetic and Phenotypic Characterization of African Goat Populations to Prioritize Conservation and Production Efforts for Small-holder Farmers in Sub-Saharan Africa | 15 |
| 20 | Characterization and conservation of indigenous sheep genetic resources: A practical framework for developing countries | 24 |
About Okeyo Mwai
Okeyo Mwai is a scholar working on Management, Monitoring, Policy and Law, Agronomy and Crop Science and Animal Science and Zoology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (40 papers), Rangeland Management and Livestock Ecology (20 papers) and Livestock and Poultry Management (8 papers). The work is most often cited by research in Agronomy and Crop Science (371 citations), Genetics (823 citations) and Animal Science and Zoology (283 citations). Okeyo Mwai has collaborated with scholars based in Kenya, United Kingdom and Austria. Frequent co-authors include Olivier Hanotte, Seoae Cho, Young-Jun Kwon, Tadelle Dessie, Aynalem Haile, Stephen J. Kemp, María Wurzinger, John P. Gibson, Sung Jong Oh and Heebal Kim. Their work appears in journals such as Nature Genetics, SHILAP Revista de lepidopterología 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.