D. Vyas

2.8k total citations · 1 hit paper
81 papers, 2.1k citations indexed

About

D. Vyas is a scholar working on Agronomy and Crop Science, Genetics and Nutrition and Dietetics. According to data from OpenAlex, D. Vyas has authored 81 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Agronomy and Crop Science, 16 papers in Genetics and 15 papers in Nutrition and Dietetics. Recurrent topics in D. Vyas's work include Ruminant Nutrition and Digestive Physiology (62 papers), Reproductive Physiology in Livestock (23 papers) and Genetic and phenotypic traits in livestock (16 papers). D. Vyas is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (62 papers), Reproductive Physiology in Livestock (23 papers) and Genetic and phenotypic traits in livestock (16 papers). D. Vyas collaborates with scholars based in United States, Brazil and Canada. D. Vyas's co-authors include A.T. Adesogan, Yun Jiang, Ibukun M Ogunade, Andres A Pech-Cervantes, K. A. Beauchemin, Dong Hyeon Kim, K.G. Arriola, R.A. Erdman, André Soares de Oliveira and Z.G. Weinberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Dairy Science.

In The Last Decade

D. Vyas

74 papers receiving 2.0k citations

Hit Papers

Meta-analysis of effects ... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
D. Vyas 1.5k 481 378 373 329 81 2.1k
Adam Cieślak 1.3k 0.9× 411 0.9× 477 1.3× 234 0.6× 305 0.9× 164 2.3k
E. Molina‐Alcaide 1.4k 1.0× 426 0.9× 448 1.2× 339 0.9× 312 0.9× 76 2.2k
D.N. Kamra 1.8k 1.2× 488 1.0× 456 1.2× 310 0.8× 254 0.8× 127 2.5k
D. Colombatto 1.5k 1.0× 391 0.8× 500 1.3× 209 0.6× 296 0.9× 47 1.9k
M. Szumacher‐Strabel 1.2k 0.8× 360 0.7× 401 1.1× 212 0.6× 278 0.8× 131 1.9k
Nicola Walker 1.7k 1.2× 286 0.6× 415 1.1× 238 0.6× 231 0.7× 54 2.3k
E. Ramos‐Morales 1.3k 0.9× 292 0.6× 314 0.8× 169 0.5× 494 1.5× 34 1.8k
L.C. Chaudhary 1.6k 1.1× 274 0.6× 400 1.1× 262 0.7× 422 1.3× 85 2.3k
Neeta Agarwal 1.4k 1.0× 320 0.7× 570 1.5× 498 1.3× 275 0.8× 96 2.3k
Jinhe Kang 2.1k 1.4× 438 0.9× 478 1.3× 285 0.8× 363 1.1× 54 2.7k

Countries citing papers authored by D. Vyas

Since Specialization
Citations

This map shows the geographic impact of D. Vyas'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 D. Vyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Vyas more than expected).

Fields of papers citing papers by D. Vyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Vyas. 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 D. Vyas. The network helps show where D. Vyas may publish in the future.

Co-authorship network of co-authors of D. Vyas

This figure shows the co-authorship network connecting the top 25 collaborators of D. Vyas. A scholar is included among the top collaborators of D. Vyas 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 D. Vyas. D. Vyas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Arriola, K.G., Lin Mu, Saqib Farooq, et al.. (2025). Effects of wilting duration and microbial inoculation on fermentation profile, chemical composition, aerobic stability and in situ nutrient degradability of ryegrass silage. Animal Feed Science and Technology. 325. 116351–116351. 1 indexed citations
3.
Vyas, D., et al.. (2024). Best Practices for Interprofessional Education to Meet the Curriculum Outcomes and Entrustable Professional Activities. American Journal of Pharmaceutical Education. 88(12). 101321–101321. 1 indexed citations
4.
Arriola, K.G., et al.. (2024). 47 Inclusion of black soldier fly (Hermetia illucens) larvae frass as an alternative protein source in the diet of Florida native yearling ewes.. Journal of Animal Science. 102(Supplement_1). 86–87. 2 indexed citations
7.
Krauer, Juan M. Campos, et al.. (2023). 97 Effect of psyllium husk supplementation on equine fecal nutrient composition and in vitro fermentation. Journal of Equine Veterinary Science. 124. 104399–104399.
8.
Roesch, Luiz Fernando Würdig, K.G. Arriola, Yuting Zhang, et al.. (2023). Effects of cashew nut shell extract and monensin on in vitro ruminal fermentation, methane production, and ruminal bacterial community. Journal of Dairy Science. 107(2). 840–856. 6 indexed citations
9.
Wallau, Marcelo, et al.. (2022). Silage Crops for Dairy and Beef Cattle I: Corn. SHILAP Revista de lepidopterología. 2022(1). 1 indexed citations
10.
Naserian, Abbas Ali, et al.. (2021). Effects of ground, steam-flaked, and super-conditioned corn grain on production performance and total-tract digestibility in dairy cows. Journal of Dairy Science. 104(6). 6756–6767. 10 indexed citations
11.
Lobo, Richard Roberto, et al.. (2021). Effects of partially replacing dietary corn with molasses, condensed whey permeate, or treated condensed whey permeate on ruminal microbial fermentation. Journal of Dairy Science. 105(3). 2215–2227. 11 indexed citations
13.
Monteiro, H.F., et al.. (2020). Copper sulfate and sodium selenite lipid-microencapsulation modifies ruminal microbial fermentation in a dual-flow continuous-culture system. Journal of Dairy Science. 103(8). 7068–7080. 10 indexed citations
14.
Jiang, Yun, Ibukun M Ogunade, K.G. Arriola, et al.. (2019). Short communication: Effects of a physiologically relevant concentration of aflatoxin B1 with or without sequestering agents on in vitro rumen fermentation of a dairy cow diet. Journal of Dairy Science. 103(2). 1559–1565. 8 indexed citations
15.
Jiang, Yun, et al.. (2019). Aflatoxin compromises development of the preimplantation bovine embryo through mechanisms independent of reactive oxygen production. Journal of Dairy Science. 102(11). 10506–10513. 17 indexed citations
16.
Jiang, Yun, Ibukun M Ogunade, Andres A Pech-Cervantes, et al.. (2019). Effect of sequestering agents based on a Saccharomyces cerevisiae fermentation product and clay on the ruminal bacterial community of lactating dairy cows challenged with dietary aflatoxin B1. Journal of Dairy Science. 103(2). 1431–1447. 15 indexed citations
17.
Ogunade, Ibukun M, O.C.M. Queiroz, Yun Jiang, et al.. (2018). Silage review: Mycotoxins in silage: Occurrence, effects, prevention, and mitigation. Journal of Dairy Science. 101(5). 4034–4059. 184 indexed citations
18.
Oliveira, André Soares de, Z.G. Weinberg, Ibukun M Ogunade, et al.. (2017). Meta-analysis of effects of inoculation with homofermentative and facultative heterofermentative lactic acid bacteria on silage fermentation, aerobic stability, and the performance of dairy cows. Journal of Dairy Science. 100(6). 4587–4603. 285 indexed citations breakdown →
19.
Ogunade, Ibukun M, Yun Jiang, Andres A Pech-Cervantes, et al.. (2017). Bacterial diversity and composition of alfalfa silage as analyzed by Illumina MiSeq sequencing: Effects of Escherichia coli O157:H7 and silage additives. Journal of Dairy Science. 101(3). 2048–2059. 216 indexed citations
20.
Vyas, D., U. Moallem, B.B. Teter, Ali Reza Fardin‐Kia, & R.A. Erdman. (2013). Milk fat responses to butterfat infusion during conjugated linoleic acid-induced milk fat depression in lactating dairy cows. Journal of Dairy Science. 96(4). 2387–2399. 18 indexed citations

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.

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