K.A. Saravanan

661 total citations
23 papers, 411 citations indexed

About

K.A. Saravanan is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, K.A. Saravanan has authored 23 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 8 papers in Molecular Biology and 3 papers in Animal Science and Zoology. Recurrent topics in K.A. Saravanan's work include Genetic and phenotypic traits in livestock (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetic diversity and population structure (5 papers). K.A. Saravanan is often cited by papers focused on Genetic and phenotypic traits in livestock (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetic diversity and population structure (5 papers). K.A. Saravanan collaborates with scholars based in India. K.A. Saravanan's co-authors include Manjit Panigrahi, Harshit Kumar, Bharat Bhushan, Triveni Dutt, Bishnu Prasad Mishra, Subhashree Parida, Divya Rajawat, Gyanendra Kumar Gaur, Sonali Sonejita Nayak and Ranvir Singh and has published in prestigious journals such as Gene, Genomics and Journal of Computational Biology.

In The Last Decade

K.A. Saravanan

22 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K.A. Saravanan India	12	341	111	85	82	56	23	411
Divya Rajawat India	12	263 0.8×	91 0.8×	95 1.1×	49 0.6×	49 0.9×	38	336
Anna Maria Sutera Italy	13	325 1.0×	91 0.8×	85 1.0×	68 0.8×	82 1.5×	32	436
Harshit Kumar India	15	465 1.4×	148 1.3×	134 1.6×	109 1.3×	80 1.4×	42	573
Hussain Bahbahani Kuwait	12	397 1.2×	95 0.9×	80 0.9×	58 0.7×	57 1.0×	22	486
R. McCulloch Australia	10	236 0.7×	58 0.5×	73 0.9×	49 0.6×	50 0.9×	16	381
Ramesh Kumar Vijh India	10	211 0.6×	85 0.8×	76 0.9×	53 0.6×	97 1.7×	41	335
Sonali Sonejita Nayak India	12	239 0.7×	87 0.8×	87 1.0×	43 0.5×	39 0.7×	33	302
Eric Fritz-Waters United States	9	154 0.5×	70 0.6×	35 0.4×	88 1.1×	109 1.9×	13	307
Zewdu Edea South Korea	15	497 1.5×	156 1.4×	115 1.4×	100 1.2×	66 1.2×	27	557
Imtiaz A. S. Randhawa Australia	11	291 0.9×	73 0.7×	71 0.8×	48 0.6×	54 1.0×	20	352

Countries citing papers authored by K.A. Saravanan

Since Specialization

Citations

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

Fields of papers citing papers by K.A. Saravanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.A. Saravanan. 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 K.A. Saravanan. The network helps show where K.A. Saravanan may publish in the future.

Co-authorship network of co-authors of K.A. Saravanan

This figure shows the co-authorship network connecting the top 25 collaborators of K.A. Saravanan. A scholar is included among the top collaborators of K.A. Saravanan 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 K.A. Saravanan. K.A. Saravanan 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

Saravanan, K.A., et al.. (2024). Genomic selection in India – Progress, Challenges and Future prospects. SSRN Electronic Journal.

Saravanan, K.A., Manjit Panigrahi, Harshit Kumar, et al.. (2022). Role of genomics in combating COVID-19 pandemic. Gene. 823. 146387–146387. 24 indexed citations

Rajawat, Divya, Manjit Panigrahi, Harshit Kumar, et al.. (2022). Revealing Genomic Footprints of Selection for Fiber and Production Traits in Three Indian Sheep Breeds. Journal of Natural Fibers. 19(16). 14963–14974. 20 indexed citations

Panigrahi, Manjit, Harshit Kumar, K.A. Saravanan, et al.. (2022). Trajectory of livestock genomics in South Asia: A comprehensive review. Gene. 843. 146808–146808. 26 indexed citations

Kumar, Harshit, Manjit Panigrahi, Divya Rajawat, et al.. (2022). Machine-Learning Prospects for Detecting Selection Signatures Using Population Genomics Data. Journal of Computational Biology. 29(9). 943–960. 11 indexed citations

Ramesha, K. P., et al.. (2022). Biological methylation: redefining the link between genotype and phenotype. Animal Biotechnology. 34(7). 3174–3186. 2 indexed citations

Saravanan, K.A., Divya Rajawat, Harshit Kumar, et al.. (2022). Signatures of selection in riverine buffalo populations revealed by genome-wide SNP data. Animal Biotechnology. 34(8). 1–12. 17 indexed citations

Kumar, Harshit, Manjit Panigrahi, K.A. Saravanan, et al.. (2021). SNPs with intermediate minor allele frequencies facilitate accurate breed assignment of Indian Tharparkar cattle. Gene. 777. 145473–145473. 13 indexed citations

Saravanan, K.A., Manjit Panigrahi, Harshit Kumar, et al.. (2021). Genomic scans for selection signatures revealed candidate genes for adaptation and production traits in a variety of cattle breeds. Genomics. 113(3). 955–963. 63 indexed citations

10.

Kumar, Harshit, et al.. (2021). Recent Advances in Sire Evaluation Methods: A Review. Indian Journal of Animal Research. 2 indexed citations

11.

Kumar, Harshit, Manjit Panigrahi, K.A. Saravanan, et al.. (2021). Genome-wide detection of copy number variations in Tharparkar cattle. Animal Biotechnology. 34(2). 448–455. 27 indexed citations

12.

Saravanan, K.A., et al.. (2020). Advances in genome editing technology and its applications in poultry breeding. Journal of Entomology and Zoology Studies. 8(2). 1416–1423. 1 indexed citations

13.

Kumar, Harshit, et al.. (2020). A review on epigenetics: Manifestations, modifications, methods & challenges. Journal of Entomology and Zoology Studies. 8(1). 780–786. 7 indexed citations

14.

Kumar, Harshit, Manjit Panigrahi, Divya Rajawat, et al.. (2020). Recent trends & applications of big data science in chronobiology. Journal of Entomology and Zoology Studies. 8(4). 2244–2250. 1 indexed citations

15.

Saravanan, K.A., Manjit Panigrahi, Harshit Kumar, et al.. (2020). Genome-wide assessment of genetic diversity, linkage disequilibrium and haplotype block structure in Tharparkar cattle breed of India. Animal Biotechnology. 33(2). 297–311. 28 indexed citations

16.

Saravanan, K.A., Manjit Panigrahi, Harshit Kumar, et al.. (2020). Selection signatures in livestock genome: A review of concepts, approaches and applications. Livestock Science. 241. 104257–104257. 88 indexed citations

17.

Kumar, Harshit, K.A. Saravanan, Divya Rajawat, et al.. (2020). Concepts of Genomic Selection in Poultry and its Applications. International Journal of Livestock Research. 1–1. 1 indexed citations

18.

Kumar, Harshit, Manjit Panigrahi, V. Bhanuprakash, et al.. (2019). Identification of breed-specific SNP panel in nine different cattle genomes.. Biomedical Research. 30(1). 15 indexed citations

19.

Saravanan, K.A., Manjit Panigrahi, Harshit Kumar, & Bharat Bhushan. (2019). Advanced software programs for the analysis of genetic diversity in livestock genomics: a mini review. Biological Rhythm Research. 53(3). 358–368. 8 indexed citations

20.

Saravanan, K.A., et al.. (2017). A journey on privacy protection strategies in big data. 1344–1347. 3 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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