Saif Agha
Impact in
- Genetics top 10%
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Animal Science and Zoology top 10%
Papers in
- Genetics 8
- Genetic and phenotypic traits in livestock 8
- Genetic diversity and population structure 3
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- Animal Behavior and Welfare Studies 4
- Co-authors
- Paolo Ajmone‐Marsan (3 shared papers)Licia Colli (3 shared papers)Feng‐Hua Lv (1 shared paper)Meng-Hua Li (1 shared paper)Juha Kantanen (1 shared paper)James Kijas (1 shared paper)Sylvie Stucki (1 shared paper)Stéphane Joost (1 shared paper)
- Journals
- PLoS ONE (3 papers)Animals (2 papers)Genes (2 papers)Scientific Reports (1 paper)Evolutionary Applications (1 paper)
- Partner nations
- EgyptUnited KingdomSpain
In The Last Decade
Saif Agha
13 papers receiving 361 citations
Peers
Comparison fields: 5 of 43
- Genetics 272
- Animal Science and Zoology 46
- Agronomy and Crop Science 41
- Cancer Research 50
- Management, Monitoring, Policy and Law 36
Countries citing papers authored by Saif Agha
This map shows the geographic impact of Saif Agha'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 Saif Agha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saif Agha more than expected).
Fields of papers citing papers by Saif Agha
This network shows the impact of papers produced by Saif Agha. 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 Saif Agha. The network helps show where Saif Agha may publish in the future.
Co-authors
The 25 scholars most cited alongside Saif Agha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 127 | |
| 2 | 2012 | 73 | |
| 3 | 2008 | 66 | |
| 4 | 2015 | 38 | |
| 5 | 2018 | 17 | |
| 6 | 2018 | 16 | |
| 7 | 2017 | 11 | |
| 8 | 2020 | 9 | |
| 9 | 2022 | 7 | |
| 10 | 2024 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2025 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Saif Agha
Saif Agha is a scholar working on Genetics, Small Animals, Animal Science and Zoology, Ecology, Evolution, Behavior and Systematics and Insect Science, having authored 16 papers that have together received 373 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (8 papers), Animal Behavior and Welfare Studies (4 papers), Insect and Pesticide Research (3 papers), Animal Behavior and Reproduction (3 papers), Genetic diversity and population structure (3 papers), Muscle metabolism and nutrition (2 papers), Animal Nutrition and Physiology (2 papers) and Fish Ecology and Management Studies (2 papers). The work is most often cited by research in Genetics (272 citations), Animal Science and Zoology (46 citations), Agronomy and Crop Science (41 citations), Cancer Research (50 citations) and Management, Monitoring, Policy and Law (36 citations). Saif Agha has collaborated with scholars based in Egypt, United Kingdom and Spain. Frequent co-authors include Paolo Ajmone‐Marsan, Licia Colli, Feng‐Hua Lv, Meng-Hua Li, Juha Kantanen, James Kijas, Sylvie Stucki, Stéphane Joost, Alessandro Achilli and Anna De Gaetano. Their work appears in journals such as PLoS ONE, Animals, Genes, Scientific Reports and Evolutionary Applications.
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.