Vikas Vohra

634 total citations
90 papers, 408 citations indexed

About

Vikas Vohra is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, Vikas Vohra has authored 90 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Genetics, 49 papers in Agronomy and Crop Science and 17 papers in Animal Science and Zoology. Recurrent topics in Vikas Vohra's work include Genetic and phenotypic traits in livestock (66 papers), Livestock Management and Performance Improvement (26 papers) and Genetic Mapping and Diversity in Plants and Animals (19 papers). Vikas Vohra is often cited by papers focused on Genetic and phenotypic traits in livestock (66 papers), Livestock Management and Performance Improvement (26 papers) and Genetic Mapping and Diversity in Plants and Animals (19 papers). Vikas Vohra collaborates with scholars based in India, Australia and United States. Vikas Vohra's co-authors include A. K. Chakravarty, S. K. Niranjan, Manoj Kumar, Rani Alex, T. K. Bhattacharya, G. R. Gowane, Poonam Ratwan, R. S. Kataria, T Vijaya Kumar and Archana Verma and has published in prestigious journals such as Scientific Reports, Frontiers in Genetics and Physiological Genomics.

In The Last Decade

Vikas Vohra

77 papers receiving 387 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vikas Vohra India	12	296	201	92	60	45	90	408
S. K. Niranjan India	14	391 1.3×	179 0.9×	108 1.2×	80 1.3×	21 0.5×	85	547
Patrick Monametsi Kgwatalala Botswana	11	249 0.8×	133 0.7×	138 1.5×	76 1.3×	12 0.3×	31	440
Dirk Hinrichs Germany	16	471 1.6×	231 1.1×	103 1.1×	25 0.4×	21 0.5×	37	541
Onur Yılmaz Türkiye	14	428 1.4×	122 0.6×	177 1.9×	66 1.1×	18 0.4×	75	570
Isabelle Palhière France	17	559 1.9×	223 1.1×	106 1.2×	91 1.5×	14 0.3×	36	686
Ankit Magotra India	14	344 1.2×	263 1.3×	147 1.6×	61 1.0×	19 0.4×	88	484
S. Alijani Iran	13	284 1.0×	152 0.8×	246 2.7×	62 1.0×	12 0.3×	80	519
A. Rogberg‐Muñoz Argentina	13	336 1.1×	111 0.6×	140 1.5×	116 1.9×	9 0.2×	47	501
Tae-Jeong Choi South Korea	12	466 1.6×	139 0.7×	245 2.7×	46 0.8×	10 0.2×	73	583
Emhimad A. Abdalla Canada	11	240 0.8×	110 0.5×	131 1.4×	20 0.3×	10 0.2×	26	375

Countries citing papers authored by Vikas Vohra

Since Specialization

Citations

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

Fields of papers citing papers by Vikas Vohra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Vohra

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

All Works

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20 of 20 papers shown

Gowane, G. R., et al.. (2025). Optimizing multi-breed joint genomic prediction issues in numerically small breeds for sex-limited trait in a loosely structured dairy cattle breeding system. Tropical Animal Health and Production. 57(3). 149–149. 1 indexed citations

Alex, Rani, et al.. (2025). Optimizing the Genomic Evaluation Model in Crossbred Cattle for Smallholder Production Systems in India. Agriculture. 15(9). 945–945.

Vohra, Vikas, et al.. (2024). Diversity assessment of a lesser known buffalo population from Central India and its comparative evaluation reveals presence of sufficient genetic variation and absence of selection. Animal Biotechnology. 35(1). 2305550–2305550. 1 indexed citations

Alex, Rani, et al.. (2024). Optimizing the genetic evaluation criteria for the small herd of Saanen x Beetal crossbred dairy goats of Indian sub-tropic. Small Ruminant Research. 241. 107402–107402. 1 indexed citations

Niranjan, S. K., et al.. (2024). Genome-wide comparative analyses highlight selection signatures underlying saline adaptation in Chilika buffalo. Physiological Genomics. 56(9). 609–620. 1 indexed citations

Alex, Rani, et al.. (2023). Elucidating genetic diversity and population structure of Alpine x Beetal goats using pedigree analysis. Small Ruminant Research. 227. 107060–107060. 5 indexed citations

Alex, Rani, et al.. (2023). Optimizing selection strategy for enhancing reproduction efficiency in Indian crossbred goats using milk productivity as a selection criterion. Reproduction in Domestic Animals. 59(1). e14508–e14508. 3 indexed citations

Kumar, Manoj, Vikas Vohra, Poonam Ratwan, & Amod Kumar. (2023). Comparative analysis of various methods for estimating expected genetic gain of production and reproduction traits in Murrah buffaloes. Animal Biotechnology. 34(8). 1–10.

Kumar, Manoj, et al.. (2022). Genetic analysis of milk and milk composition traits in Murrah buffaloes using Bayesian inference. Animal Biotechnology. 34(7). 3280–3286. 5 indexed citations

10.

Singh, Ravinder, S. K. Niranjan, Snehasish Mishra, et al.. (2018). Cytogenetic characterization of Kalahandi and Paralakhemundi buffaloes of Odisha state confirms their riverine status.. Indian Journal of Dairy Science. 71(3). 279–283. 2 indexed citations

11.

Kumar, Manoj, et al.. (2018). Influence of Environmental Factors on Performance Traits in Murrah Buffaloes: A Review. Journal of Veterinary Science & Technology. 6(1). 6–16. 1 indexed citations

12.

Kumar, Manoj, Poonam Ratwan, & Vikas Vohra. (2018). Genetic Variability and Significance of STAT Gene in Dairy Animals. 5(3). 1–6. 1 indexed citations

13.

Vohra, Vikas. (2018). Genomic selection and its significance in Indian dairying.. Indian Journal of Dairy Science. 71(6). 539–545. 1 indexed citations

14.

Chakraborty, Dibyendu, et al.. (2018). Wool characteristics of poonchi sheep. International Journal of Fauna and Biological Studies. 5(2). 133–135.

15.

Kumar, Manoj, Vikas Vohra, Poonam Ratwan, & A. K. Chakravarty. (2016). Snp identification in thioesterase domain of fatty acid synthase gene in Murrah buffaloes.. The Journal of Animal and Plant Sciences. 26(6). 1828–1832. 5 indexed citations

16.

Chakravarty, A. K., et al.. (2013). Decline in Reproductive Performance in High Producing Murrah Buffalo. Journal of animal research. 3(2). 203–208. 3 indexed citations

17.

Vohra, Vikas, et al.. (2012). Gojri– A novel migratory buffalo germplasm in Punjab and Himachal Pradesh. Journal of animal research. 2(3). 317–321. 4 indexed citations

18.

Vohra, Vikas, et al.. (2012). Belahi cattle: uniform but distinct germplasm of Haryana. Journal of animal research. 2(1). 47–51. 4 indexed citations

19.

Vohra, Vikas, et al.. (2012). Whole genome selection: An overview. Journal of animal research. 2(1). 1–8. 2 indexed citations

20.

Vohra, Vikas, et al.. (2011). Association of leptin gene polymorphism with 305 days milk yield in Karan Fries cattle.. The Indian Journal of Animal Sciences. 81(4). 388–390. 2 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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