S. K. Niranjan

767 total citations
85 papers, 547 citations indexed

About

S. K. Niranjan is a scholar working on Genetics, Agronomy and Crop Science and Cancer Research. According to data from OpenAlex, S. K. Niranjan has authored 85 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Genetics, 23 papers in Agronomy and Crop Science and 21 papers in Cancer Research. Recurrent topics in S. K. Niranjan's work include Genetic and phenotypic traits in livestock (50 papers), Cancer-related molecular mechanisms research (20 papers) and Genetic Mapping and Diversity in Plants and Animals (18 papers). S. K. Niranjan is often cited by papers focused on Genetic and phenotypic traits in livestock (50 papers), Cancer-related molecular mechanisms research (20 papers) and Genetic Mapping and Diversity in Plants and Animals (18 papers). S. K. Niranjan collaborates with scholars based in India, Japan and Austria. S. K. Niranjan's co-authors include R. S. Kataria, Jayakumar Sivalingam, I. D. Gupta, M. S. Tantia, Vikas Vohra, Manishi Mukesh, S. P. Dixit, Shailendra Kumar Mishra, Monika Sodhi and Anshuman Kumar and has published in prestigious journals such as Scientific Reports, Food Chemistry and Gene.

In The Last Decade

S. K. Niranjan

76 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. K. Niranjan India 14 391 179 108 101 80 85 547
A. Rogberg‐Muñoz Argentina 13 336 0.9× 111 0.6× 140 1.3× 57 0.6× 116 1.4× 47 501
Arjava Sharma India 15 368 0.9× 237 1.3× 204 1.9× 84 0.8× 181 2.3× 65 723
Mohammad Reza Nassiry Iran 12 303 0.8× 128 0.7× 172 1.6× 50 0.5× 104 1.3× 41 537
Rani Alex India 12 284 0.7× 183 1.0× 186 1.7× 84 0.8× 184 2.3× 83 565
Marìa Verònica Ripoli Argentina 16 466 1.2× 179 1.0× 135 1.3× 53 0.5× 192 2.4× 49 684
Mohammed Abo-Ismail Canada 13 500 1.3× 305 1.7× 192 1.8× 126 1.2× 86 1.1× 33 698
Mohammad Reza Mohammad Abadi Iran 6 268 0.7× 143 0.8× 80 0.7× 32 0.3× 63 0.8× 18 355
B. K. Joshi India 15 508 1.3× 293 1.6× 119 1.1× 62 0.6× 128 1.6× 70 718
Ankit Magotra India 14 344 0.9× 263 1.5× 147 1.4× 50 0.5× 61 0.8× 88 484
Ch. Kühn Germany 11 399 1.0× 261 1.5× 45 0.4× 100 1.0× 70 0.9× 18 596

Countries citing papers authored by S. K. Niranjan

Since Specialization
Citations

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

Fields of papers citing papers by S. K. Niranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. K. Niranjan

This figure shows the co-authorship network connecting the top 25 collaborators of S. K. Niranjan. A scholar is included among the top collaborators of S. K. Niranjan 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 S. K. Niranjan. S. K. Niranjan 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.
Kumar, Amod, G. R. Gowane, Sonika Ahlawat, et al.. (2024). Genomic insights into high-altitude adaptation and evolutionary dynamics of Indian yaks in the Trans-Himalayan region. Conservation Genetics. 26(1). 49–62. 3 indexed citations
2.
Gowane, G. R., et al.. (2024). Genomic inbreeding analysis reveals resilience and genetic diversity in Indian yak populations. Gene. 928. 148787–148787. 9 indexed citations
3.
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
4.
Ahlawat, Sonika, S. K. Niranjan, Reena Arora, et al.. (2024). Advancing equine genomics: the development of a high density Axiom_Ashwa SNP chip for Indian horses and ponies. Functional & Integrative Genomics. 24(6). 195–195. 1 indexed citations
5.
Aggarwal, R. A. K., et al.. (2023). Characterization of a unique Sikkimese yak population of India: a multivariate approach. Tropical Animal Health and Production. 55(3). 208–208. 1 indexed citations
6.
Sivalingam, Jayakumar, et al.. (2023). Genome-wide in silico analysis leads to identification of deleterious L290V mutation in RBBP5 gene in Bos indicus. Animal Biotechnology. 34(9). 4851–4859. 2 indexed citations
7.
Singh, Ravinder, Shailendra Kumar Mishra, S. K. Niranjan, et al.. (2021). Current status and unique attributes of Indian Chilika buffalo for adaptation to brackish water ecology. Tropical Animal Health and Production. 53(6). 544–544. 3 indexed citations
8.
Mishra, Shailendra Kumar, S. K. Niranjan, Ravinder Singh, et al.. (2020). Diversity analysis at MHC class II DQA locus in buffalo (Bubalus bubalis) indicates extensive duplication and trans-species evolution. Genomics. 112(6). 4417–4426. 3 indexed citations
9.
10.
Sivalingam, Jayakumar, Anshuman Kumar, S. K. Niranjan, et al.. (2019). Genome-wide discovery of SNPs in candidate genes related to production and fertility traits in Sahiwal cattle. Tropical Animal Health and Production. 52(4). 1707–1715. 29 indexed citations
11.
Mishra, Shailendra Kumar, Praveen Kumar Dubey, Shubham Dubey, et al.. (2019). Sequence-based structural analysis and evaluation of polymorphism in buffalo Nod-like receptor-1 gene. 3 Biotech. 9(1). 26–26.
12.
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
13.
Mishra, Shailendra Kumar, S. K. Niranjan, Bhaswati Banerjee, & R. S. Kataria. (2018). Evaluating differential expression of MHC class II genes for association with resistance to mastitis in Indian buffaloes (Bubalus bubalis). Proceedings of the World Congress on Genetics Applied to Livestock Production. 465.
14.
Behl, Rahul, S. K. Niranjan, M. S. Tantia, et al.. (2017). Genetic characterization of brown type donkeys of Andhra Pradesh using microsatellite markers. The Indian Journal of Animal Sciences. 87(9). 1 indexed citations
15.
Vohra, Vikas, et al.. (2016). Phenotypic characterization, management and performance of Belahi cattle. The Indian Journal of Animal Sciences. 86(3). 1 indexed citations
16.
Niranjan, S. K., et al.. (2015). Genetic diversity analysis of buffalo fatty acid synthase ( FASN ) gene and its differential expression among bovines. Gene. 575(2). 506–512. 8 indexed citations
17.
Mishra, Priyanka, et al.. (2015). Nucleotide polymorphisms in the bovine lymphotoxin A gene and their distribution among Bos indicus zebu cattle breeds. Gene. 579(1). 82–94. 4 indexed citations
18.
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
19.
Vohra, Vikas, et al.. (2012). Belahi cattle: uniform but distinct germplasm of Haryana. Journal of animal research. 2(1). 47–51. 4 indexed citations
20.
Niranjan, S. K., et al.. (2010). Allelic diversity at MHC class II DQ loci in buffalo (Bubalus bubalis): Evidence for duplication. Veterinary Immunology and Immunopathology. 138(3). 206–212. 14 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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