Payam Vahmani
- Animal Science and Zoology top 0.5%
- Meat and Animal Product Quality 24
- Animal Nutrition and Physiology 9
- Agronomy and Crop Science top 2%
- Ruminant Nutrition and Digestive Physiology 20
- Reproductive Physiology in Livestock 10
- Nutrition and Dietetics top 2%
- Fatty Acid Research and Health 35
- Biochemistry top 10%
- Lipid metabolism and biosynthesis 9
- Food Science top 10%
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- Adipose Tissue and Metabolism 7
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- Genetic and phenotypic traits in livestock 6
Payam Vahmani
64 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Animal Science and Zoology 649
- Agronomy and Crop Science 390
- Nutrition and Dietetics 376
- Biochemistry 54
- Food Science 124
Countries citing papers authored by Payam Vahmani
This map shows the geographic impact of Payam Vahmani'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 Payam Vahmani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Payam Vahmani more than expected).
Fields of papers citing papers by Payam Vahmani
This network shows the impact of papers produced by Payam Vahmani. 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 Payam Vahmani. The network helps show where Payam Vahmani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Payam Vahmani, 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 | 2024 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 30 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2017 | 50 | |
| 15 | 2016 | 10 | |
| 16 | 2014 | 32 | |
| 17 | 2014 | 29 | |
| 18 | 2014 | 10 | |
| 19 | Influence of Drying and Ensiling Pistachio By-Products with Urea and Molasses on Their Chemical Composition, Tannin Content and Rumen Degradability Parameters | 2009 | 7 |
| 20 | Pistachio Hulls as a Feed Ingredient for Lactating Dairy Goats | 2005 | 2 |
About Payam Vahmani
Payam Vahmani is a scholar working on Animal Science and Zoology, Nutrition and Dietetics, Agronomy and Crop Science, Biochemistry and Physiology, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (35 papers), Meat and Animal Product Quality (24 papers), Ruminant Nutrition and Digestive Physiology (20 papers), Reproductive Physiology in Livestock (10 papers), Lipid metabolism and biosynthesis (9 papers), Animal Nutrition and Physiology (9 papers), Adipose Tissue and Metabolism (7 papers) and Genetic and phenotypic traits in livestock (6 papers). The work is most often cited by research in Animal Science and Zoology (649 citations), Agronomy and Crop Science (390 citations), Nutrition and Dietetics (376 citations), Biochemistry (54 citations) and Food Science (124 citations). Payam Vahmani has collaborated with scholars based in Canada, United States and South Africa. Frequent co-authors include M. E. R. Dugan, Cletos Mapiye, D. C. Rolland, M.E.R. Dugan, J.L. Aalhus, Voster Muchenje, N. Prieto, Tim A. McAllister, Obert C. Chikwanha and M. A. Norouzian. Their work appears in journals such as Journal of Dairy Science, Canadian Journal of Animal Science, Meat Science, Journal of Animal Science and Food Research International.
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.