Varij Nayan

632 citations
42 papers · 439 · h-index 12

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 13
    • Reproductive Physiology in Livestock 10
    • Livestock Management and Performance Improvement 3

Varij Nayan

41 papers receiving 422 citations

Peers

Varij Nayan
Comparison fields: 5 of 85
  • Equine 19
  • Agronomy and Crop Science 92
  • Small Animals 62
  • Animal Science and Zoology 75
  • Nutrition and Dietetics 66
Replace Kun Pang with:
Kun Pang China
Natalina Cammertoni Italy
Yonghui Wang China
Yo‐Han Kim Japan
Hari Om Pandey India
Jamie L. Boehmer United States
Preeti Verma India
Xubin Lu China
Shuilian Wang China
Xiaole Tong China
Varij Nayan relative to Kun Pang China Kun Pang's profile →
Citations per field
00.5×1.5×2.1×
Kun Pang · 1×
Citations per year

Countries citing papers authored by Varij Nayan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Varij Nayan Line = papers co-authored together Varij Nayan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201586
2 202151
3 201735
4 201624
5 202023
6 201720
7 201218
8 202118
9 202113
10 202313
11 202312
12 201611
13 202010
14 202310
15 20199
16 20208
17 20227
18 20157
19 20217
20
Effect of heat stress alleviation on plasma protein, metabolites and lipid profile in lactating Nili-Ravi buffaloes under tropical climate
20136

About Varij Nayan

Varij Nayan is a scholar working on Genetics, Agronomy and Crop Science, Animal Science and Zoology, Molecular Biology and Food Science, having authored 42 papers that have together received 439 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (13 papers), Reproductive Physiology in Livestock (10 papers), Effects of Environmental Stressors on 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 (19 citations), Agronomy and Crop Science (92 citations), Small Animals (62 citations), Animal Science and Zoology (75 citations) and Nutrition and Dietetics (66 citations). Varij Nayan has collaborated with scholars based in India, Canada and Spain. 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, Food and Agricultural Immunology, Environmental Progress & Sustainable Energy 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.

Explore authors with similar magnitude of impact