Mehar S. Khatkar

3.3k total citations
88 papers, 2.3k citations indexed

About

Mehar S. Khatkar is a scholar working on Genetics, Molecular Biology and Aquatic Science. According to data from OpenAlex, Mehar S. Khatkar has authored 88 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Genetics, 16 papers in Molecular Biology and 15 papers in Aquatic Science. Recurrent topics in Mehar S. Khatkar's work include Genetic and phenotypic traits in livestock (52 papers), Genetic Mapping and Diversity in Plants and Animals (36 papers) and Aquaculture Nutrition and Growth (14 papers). Mehar S. Khatkar is often cited by papers focused on Genetic and phenotypic traits in livestock (52 papers), Genetic Mapping and Diversity in Plants and Animals (36 papers) and Aquaculture Nutrition and Growth (14 papers). Mehar S. Khatkar collaborates with scholars based in Australia, United Kingdom and India. Mehar S. Khatkar's co-authors include Herman W. Raadsma, Peter C. Thomson, Kyall R. Zenger, G. Möser, Imke Tammen, Dean R. Jerry, Markus Neuditschko, Imtiaz A. S. Randhawa, David B. Jones and Julie Cavanagh and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Mehar S. Khatkar

86 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mehar S. Khatkar Australia 25 1.7k 528 328 307 266 88 2.3k
Jesús Fernández Spain 33 2.2k 1.4× 395 0.7× 260 0.8× 165 0.5× 305 1.1× 122 2.7k
Jens Tetens Germany 25 1.8k 1.1× 479 0.9× 377 1.1× 562 1.8× 231 0.9× 141 2.7k
Henk Bovenhuis Netherlands 32 1.9k 1.1× 456 0.9× 219 0.7× 429 1.4× 779 2.9× 77 2.7k
Anna K. Sonesson Norway 30 2.3k 1.4× 661 1.3× 269 0.8× 260 0.8× 693 2.6× 84 2.9k
Beatriz Villanueva United Kingdom 32 3.0k 1.8× 1.3k 2.5× 272 0.8× 442 1.4× 268 1.0× 89 3.5k
Magali SanCristobal France 21 1.3k 0.8× 275 0.5× 594 1.8× 138 0.4× 103 0.4× 33 2.0k
Oswald Matika United Kingdom 26 1.4k 0.9× 182 0.3× 256 0.8× 433 1.4× 414 1.6× 77 2.3k
Sean McWilliam Australia 30 1.2k 0.7× 241 0.5× 808 2.5× 278 0.9× 173 0.7× 66 2.4k
Jennifer R. S. Meadows Sweden 19 1.5k 0.9× 237 0.4× 627 1.9× 119 0.4× 116 0.4× 44 2.1k
Mark Henryon Denmark 19 956 0.6× 386 0.7× 96 0.3× 170 0.6× 255 1.0× 52 1.4k

Countries citing papers authored by Mehar S. Khatkar

Since Specialization
Citations

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

Fields of papers citing papers by Mehar S. Khatkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mehar S. Khatkar. 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 Mehar S. Khatkar. The network helps show where Mehar S. Khatkar may publish in the future.

Co-authorship network of co-authors of Mehar S. Khatkar

This figure shows the co-authorship network connecting the top 25 collaborators of Mehar S. Khatkar. A scholar is included among the top collaborators of Mehar S. Khatkar 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 Mehar S. Khatkar. Mehar S. Khatkar 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.
Ren, Yan, Mehar S. Khatkar, Haofei Wang, et al.. (2024). Evaluating the Efficacy of Target Capture Sequencing for Genotyping in Cattle. Genes. 15(9). 1218–1218.
2.
Hasan, Md. Mahmudul, Peter C. Thomson, Herman W. Raadsma, & Mehar S. Khatkar. (2024). A Review and Meta-Analysis of Genotype by Environment Interaction in Commercial Shrimp Breeding. Genes. 15(9). 1222–1222. 3 indexed citations
3.
Khatkar, Mehar S., et al.. (2023). Lymphoma in Border Collies: Genome-Wide Association and Pedigree Analysis. Veterinary Sciences. 10(9). 581–581. 1 indexed citations
4.
Williamson, Peter, et al.. (2023). Analysis of dog breed diversity using a composite selection index. Scientific Reports. 13(1). 1674–1674. 5 indexed citations
5.
Thomson, Peter C., et al.. (2022). Estimating heritability using family-pooled phenotypic and genotypic data: a simulation study applied to aquaculture. Heredity. 128(3). 178–186. 4 indexed citations
6.
Nadeem, Asif, et al.. (2022). Genome wide association study for growth in Pakistani dromedary camels using genotyping-by-sequencing. Animal Bioscience. 36(7). 1010–1021. 3 indexed citations
7.
Thomson, Peter C., et al.. (2022). Genetic parameters of milk and lactation curve traits of dairy cattle from research farms in Thailand. Animal Bioscience. 35(10). 1499–1511. 3 indexed citations
8.
Raadsma, Herman W., et al.. (2021). Impact of genotypic errors with equal and unequal family contribution on accuracy of genomic prediction in aquaculture using simulation. Scientific Reports. 11(1). 18318–18318. 2 indexed citations
9.
Khatkar, Mehar S., et al.. (2021). Evaluation of genetic diversity and management of disease in Border Collie dogs. Scientific Reports. 11(1). 6243–6243. 10 indexed citations
10.
Bräuning, Rüdiger, et al.. (2020). SNP discovery and population structure analysis in Lassi and Marecha camel breeds using a genotyping by sequencing method. Animal Genetics. 51(4). 620–623. 4 indexed citations
11.
Khatkar, Mehar S., et al.. (2020). Analysis of variation in growth and spline-based growth models for Marecha and Lassi dromedary camels. Tropical Animal Health and Production. 52(5). 2309–2317. 2 indexed citations
12.
Tulloch, Rachel L., et al.. (2020). Meta‐analysis of genetic parameters of production traits in cultured shrimp species. Fish and Fisheries. 21(6). 1150–1174. 10 indexed citations
13.
Huerlimann, Roger, Nicholas M. Wade, Lavinia Gordon, et al.. (2018). De novo assembly, characterization, functional annotation and expression patterns of the black tiger shrimp (Penaeus monodon) transcriptome. Scientific Reports. 8(1). 13553–13553. 49 indexed citations
14.
Khatkar, Mehar S., et al.. (2015). Additive and epistatic genome‐wide association for growth and ultrasound scan measures of carcass‐related traits in Brahman cattle. Journal of Animal Breeding and Genetics. 132(2). 187–197. 12 indexed citations
15.
Neuditschko, Markus, Mehar S. Khatkar, & Herman W. Raadsma. (2014). Fine Scale Population Structure of Global Cattle Breeds using Dense Haplotype Data. Proceedings of the World Congress on Genetics Applied to Livestock Production. 166. 1 indexed citations
16.
Khatkar, Mehar S., G. Möser, Ben J. Hayes, & Herman W. Raadsma. (2012). Strategies and utility of imputed SNP genotypes for genomic analysis in dairy cattle. BMC Genomics. 13(1). 538–538. 70 indexed citations
17.
Neuditschko, Markus, Mehar S. Khatkar, & Herman W. Raadsma. (2012). NetView: A High-Definition Network-Visualization Approach to Detect Fine-Scale Population Structures from Genome-Wide Patterns of Variation. PLoS ONE. 7(10). e48375–e48375. 95 indexed citations
18.
Raadsma, Herman W., G. Möser, R. E. Crump, et al.. (2008). Predicting Genetic Merit for Mastitis and Fertility in Dairy Cattle using Genome Wide Selection and High Density SNP Screens. PubMed. 132. 219–223. 8 indexed citations
19.
Khatkar, Mehar S., et al.. (1997). GENETIC PARAMETERS OF PRODUCTION TRAITS IN MURRAH BUFFALOES. The Indian Journal of Animal Sciences. 67(2). 141–142. 7 indexed citations
20.
Khatkar, Mehar S., et al.. (1994). Genetic analysis of egg shell quality characters in layer chicken. The Indian Journal of Animal Sciences. 64(11). 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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