M. Makarechian
- Genetics top 5%
- Agronomy and Crop Science top 1%
- Animal Science and Zoology top 2%
- Small Animals top 5%
- Plant Science
- Co-authors
- R. T. BERGM. A. PriceP. F. ArthurA. NaazieL. A. GoonewardeneHuanying PangPaul F. ArthurJ. A. Basarab
- Topics
- Genetic and phenotypic traits in livestock (55 papers)Reproductive Physiology in Livestock (27 papers)Ruminant Nutrition and Digestive Physiology (23 papers)
- Partner nations
- CanadaIranUnited States
In The Last Decade
M. Makarechian
71 papers receiving 639 citations
Peers
Comparison fields: 5 of 64
- Genetics 539
- Agronomy and Crop Science 440
- Animal Science and Zoology 251
- Small Animals 75
- Plant Science 58
Countries citing papers authored by M. Makarechian
This map shows the geographic impact of M. Makarechian'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 M. Makarechian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Makarechian more than expected).
Fields of papers citing papers by M. Makarechian
This network shows the impact of papers produced by M. Makarechian. 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 M. Makarechian. The network helps show where M. Makarechian may publish in the future.
Co-authorship network of co-authors of M. Makarechian
This figure shows the co-authorship network connecting the top 25 collaborators of M. Makarechian. A scholar is included among the top collaborators of M. Makarechian 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 M. Makarechian. M. Makarechian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | Estimation of variance components due to direct and maternal effects for growth traits of young beef bulls in four breed groups. | 3 |
| 5 | 30 | |
| 6 | 16 | |
| 7 | 18 | |
| 8 | 4 | |
| 9 | The effect of levels of concentrate in feedlot diets on the health status of beef calves. | 2 |
| 10 | 23 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 41 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 23 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 8 | |
| 20 | 8 |
About M. Makarechian
M. Makarechian is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology, having authored 71 papers that have together received 746 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (55 papers), Reproductive Physiology in Livestock (27 papers) and Ruminant Nutrition and Digestive Physiology (23 papers). The work is most often cited by research in Agronomy and Crop Science (440 citations), Animal Science and Zoology (251 citations) and Genetics (539 citations). M. Makarechian has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include R. T. BERG, M. A. Price, P. F. Arthur, A. Naazie, L. A. Goonewardene, Huanying Pang, Paul F. Arthur, J. A. Basarab, H. Michael Kubisch and Rong‐Cai Yang. Their work appears in journals such as Theoretical and Applied Genetics, Journal of Animal Science and Theriogenology.
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.