Anas M. Khanshour
- Equine top 5%
- Veterinary Equine Medical Research 2
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- Genetic and phenotypic traits in livestock 9
- Genetic diversity and population structure 9
- Connective tissue disorders research 4
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- Botanical Studies and Applications 2
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- Genetic factors in colorectal cancer 3
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- Scoliosis diagnosis and treatment 3
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- TGF-β signaling in diseases 2
- Co-authors
- E. Gus CothranRytis JurasMontserrat Ramírez-SueroMartina RickauerYves MartinezCarol A. WiseJonathan J. RiosYared H. Kidane
- Cited by
- EquineGeneticsCell Biology
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)Human Molecular Genetics (2 papers)
- Partner nations
- United StatesJapanSweden
In The Last Decade
Anas M. Khanshour
19 papers receiving 269 citations
Peers
Comparison fields: 5 of 54
- Equine 36
- Genetics 177
- Cell Biology 30
- Plant Science 56
- Pathology and Forensic Medicine 22
Countries citing papers authored by Anas M. Khanshour
This map shows the geographic impact of Anas M. Khanshour'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 Anas M. Khanshour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anas M. Khanshour more than expected).
Fields of papers citing papers by Anas M. Khanshour
This network shows the impact of papers produced by Anas M. Khanshour. 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 Anas M. Khanshour. The network helps show where Anas M. Khanshour may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anas M. Khanshour, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2020 | 5 | |
| 5 | 2020 | 32 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 13 | |
| 9 | 2019 | 8 | |
| 10 | 2017 | 17 | |
| 11 | 2017 | 15 | |
| 12 | 2017 | 12 | |
| 13 | 2014 | 8 | |
| 14 | 2014 | 5 | |
| 15 | 2013 | 57 | |
| 16 | 2013 | 37 | |
| 17 | Genetic Diversity and Population Structure of the Arabian Horse Populations from Syria and other Countries | 2013 | 3 |
| 18 | 2013 | 7 | |
| 19 | 2013 | 2 | |
| 20 | 2009 | 40 |
About Anas M. Khanshour
Anas M. Khanshour is a scholar working on Equine, Genetics and Cancer Research, having authored 20 papers that have together received 274 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (9 papers), Genetic diversity and population structure (9 papers), Connective tissue disorders research (4 papers), Genetic factors in colorectal cancer (3 papers), Scoliosis diagnosis and treatment (3 papers), TGF-β signaling in diseases (2 papers), Botanical Studies and Applications (2 papers) and Veterinary Equine Medical Research (2 papers). The work is most often cited by research in Equine (36 citations), Genetics (177 citations) and Cell Biology (30 citations). Anas M. Khanshour has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include E. Gus Cothran, Rytis Juras, Montserrat Ramírez-Suero, Martina Rickauer, Yves Martinez, Carol A. Wise, Jonathan J. Rios, Yared H. Kidane, Lila Solnica‐Krezel and Nadja Makki. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Human Molecular Genetics.
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.