Varij Nayan
- Equine top 5%
- Veterinary Equine Medical Research 3
- Agronomy and Crop Science top 10%
- Reproductive Physiology in Livestock 10
- Livestock Management and Performance Improvement 3
- Small Animals top 5%
- Animal Science and Zoology top 10%
- Effects of Environmental Stressors on Livestock 10
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- Genetic and phenotypic traits in livestock 13
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- Animal Diversity and Health Studies 5
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- Muscle metabolism and nutrition 3
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- Cancer-related molecular mechanisms research 3
In The Last Decade
Varij Nayan
41 papers receiving 400 citations
Peers
Comparison fields: 5 of 86
- Equine 18
- Agronomy and Crop Science 90
- Small Animals 61
- Animal Science and Zoology 74
- Nutrition and Dietetics 69
Countries citing papers authored by Varij Nayan
This map shows the geographic impact of Varij Nayan'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 Varij Nayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varij Nayan more than expected).
Fields of papers citing papers by Varij Nayan
This network shows the impact of papers produced by Varij Nayan. 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 Varij Nayan. The network helps show where Varij Nayan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Varij Nayan, 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 | 2023 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 2 | |
| 14 | Biochemical characterization of Urine of Hariana breed of Cattle with special emphasis on presence of various proteins/peptides | 2019 | 1 |
| 15 | 2017 | 18 | |
| 16 | 2017 | 3 | |
| 17 | DIFFERENTIAL EXPRESSION PROFILING OF RECOMBINANT BOVINE INHIBIN-ALPHA AT REDUCED TEMPERATURE | 2013 | 2 |
| 18 | Effect of heat stress alleviation on plasma protein, metabolites and lipid profile in lactating Nili-Ravi buffaloes under tropical climate | 2013 | 6 |
| 19 | 2013 | 5 | |
| 20 | 2012 | 4 |
About Varij Nayan
Varij Nayan is a scholar working on Equine, Agronomy and Crop Science, Animal Science and Zoology, Genetics and Small Animals, having authored 42 papers that have together received 418 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (13 papers), Effects of Environmental Stressors on Livestock (10 papers), Reproductive Physiology in Livestock (10 papers), Animal Diversity and Health Studies (5 papers), Muscle metabolism and nutrition (3 papers), Veterinary Equine Medical Research (3 papers), Cancer-related molecular mechanisms research (3 papers) and Livestock Management and Performance Improvement (3 papers). The work is most often cited by research in Equine (18 citations), Agronomy and Crop Science (90 citations), Small Animals (61 citations), Animal Science and Zoology (74 citations) and Nutrition and Dietetics (69 citations). Varij Nayan has collaborated with scholars based in India, Spain and Canada. Frequent co-authors include Dheer Singh, Suneel Kumar Onteru, Anuradha Bhardwaj, Vijay Simha Baddela, Payal Rani, Harish Kumar, Rahul Mehra, Yash Pal, Naveen Kumar and Rajat Singh. Their work appears in journals such as LWT, Frontiers in Genetics, Biomarkers, International Journal of Biological Macromolecules and Journal of Small Business Strategy.
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.