M. S. Tantia

1.4k total citations
116 papers, 1.0k citations indexed

About

M. S. Tantia is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, M. S. Tantia has authored 116 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Genetics, 40 papers in Agronomy and Crop Science and 27 papers in Animal Science and Zoology. Recurrent topics in M. S. Tantia's work include Genetic and phenotypic traits in livestock (67 papers), Genetic diversity and population structure (34 papers) and Livestock Management and Performance Improvement (31 papers). M. S. Tantia is often cited by papers focused on Genetic and phenotypic traits in livestock (67 papers), Genetic diversity and population structure (34 papers) and Livestock Management and Performance Improvement (31 papers). M. S. Tantia collaborates with scholars based in India. M. S. Tantia's co-authors include R. K. Vijh, Sonika Ahlawat, Rekha Sharma, Bina Mishra, A. Maitra, Reena Arora, Himani Sharma, Rahul Behl, Ved Prakash and Jayakumar Sivalingam and has published in prestigious journals such as Scientific Reports, Gene and Aquaculture.

In The Last Decade

M. S. Tantia

104 papers receiving 976 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. S. Tantia India 21 773 262 209 194 114 116 1.0k
Sonika Ahlawat India 23 1.1k 1.4× 366 1.4× 371 1.8× 241 1.2× 211 1.9× 166 1.5k
A. Carta Italy 16 693 0.9× 403 1.5× 173 0.8× 208 1.1× 75 0.7× 65 1.1k
Kathiravan Periasamy India 16 587 0.8× 325 1.2× 133 0.6× 122 0.6× 116 1.0× 79 1.1k
Emma K. Finlay Ireland 12 679 0.9× 228 0.9× 172 0.8× 143 0.7× 135 1.2× 16 953
Ali Esmailizadeh Iran 23 1.1k 1.4× 310 1.2× 285 1.4× 317 1.6× 175 1.5× 112 1.4k
Paola Crepaldi Italy 20 782 1.0× 195 0.7× 265 1.3× 179 0.9× 112 1.0× 90 1.2k
Alexandre Rodrigues Caetano Brazil 22 883 1.1× 162 0.6× 427 2.0× 145 0.7× 111 1.0× 101 1.4k
B. K. Joshi India 15 508 0.7× 293 1.1× 128 0.6× 119 0.6× 62 0.5× 70 718
A. A. do Egito Brazil 17 636 0.8× 214 0.8× 93 0.4× 250 1.3× 47 0.4× 64 882
Manjit Panigrahi India 18 758 1.0× 337 1.3× 181 0.9× 196 1.0× 247 2.2× 133 1.1k

Countries citing papers authored by M. S. Tantia

Since Specialization
Citations

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

Fields of papers citing papers by M. S. Tantia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. S. Tantia

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Tantia. A scholar is included among the top collaborators of M. S. Tantia 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 M. S. Tantia. M. S. Tantia 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.
Singh, Parvinder, et al.. (2019). Management of lesser known Kathani cattle of Vidarbha region.. International journal of tropical agriculture. 37(2). 171–179. 1 indexed citations
2.
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
3.
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
4.
Sharma, Rekha, et al.. (2017). Hazra chicken: A precious germplasm in need of immediate scientific intervention. The Indian Journal of Animal Sciences. 87(5). 1 indexed citations
5.
Tantia, M. S., et al.. (2016). Kaunayen chicken – a new indigenous germplasm from Manipur. The Indian Journal of Animal Sciences. 86(9). 1 indexed citations
6.
Ali, Sharique A., et al.. (2013). Evaluation of internal control genes for gene expression studies in skeletal muscle of riverine buffaloes. The Indian Journal of Animal Sciences. 83(9). 2 indexed citations
7.
Banerjee, Priyanka, et al.. (2011). Sequence and phylogenetic analysis of Toll like receptor genes TLR-3 and TLR-9 in buffaloes. The Indian Journal of Animal Sciences. 81(12).
8.
Tantia, M. S., R. K. Vijh, R. S. Kataria, et al.. (2011). Whole-genome sequence assembly of the water buffalo (Bubalus bubalis). The Indian Journal of Animal Sciences. 81(5). 29 indexed citations
9.
Sharma, Ashwani Kumar, et al.. (2011). Genetic polymorphism of SLC35A3 gene in Karan Fries bull calves. The Indian Journal of Animal Sciences. 81(9). 3 indexed citations
10.
Javed, Ruheena, Sanjeev K. Gautam, R. K. Vijh, & M. S. Tantia. (2011). Six novel PCR-RFLP loci in milk quality candidate genes in Bubalus bubalis. International Journal of Livestock Production. 2(6). 79–83. 6 indexed citations
11.
Gaur, Uma, Ashok Chaudhury, M. S. Tantia, et al.. (2010). Genetic relationship among duck populations of India.. The Indian Journal of Animal Sciences. 80(5). 444–447. 8 indexed citations
12.
Mahdipour, Mahdi, Ashwani Sharma, Avtar Singh, et al.. (2010). PCR based identification of bovine leukocyte adhesion deficiency syndrome (BLAD) carriers in Karan Fries bulls.. The Indian Journal of Animal Sciences. 80(5). 433–435. 7 indexed citations
13.
Mishra, Bina, M. S. Tantia, & R. K. Vijh. (2009). Genetic differentiation and structuring of Pugal and Garole sheep. The Indian Journal of Animal Sciences. 79(4). 392–398. 1 indexed citations
14.
Mishra, Bina, et al.. (2009). Genetic relationship among camels of India based on microsatellite data. The Indian Journal of Animal Sciences. 79(4). 399–405. 2 indexed citations
15.
Tantia, M. S., R. K. Vijh, Sanjay Kumar, Bina Mishra, & Sonika Ahlawat. (2006). Genetic diversity analysis of chicken breeds of India. The Indian Journal of Animal Sciences. 76(12). 8 indexed citations
16.
Tantia, M. S., et al.. (2004). Microsatellite data analysis for conservation of two goat breeds. The Indian Journal of Animal Sciences. 74(7). 3 indexed citations
17.
Vijh, R. K., Alok Pandey, Bina Mishra, et al.. (2004). Estimating genetic distances in indigenous poultry germplasm using infinite allele model. The Indian Journal of Animal Sciences. 74(5). 1 indexed citations
18.
Vijh, R. K. & M. S. Tantia. (2004). Assignment of individuals to four poultry breeds of India using multilocus genotypes. The Indian Journal of Animal Sciences. 74(1). 5 indexed citations
19.
Mukesh, Manishi, et al.. (2004). Assessment of population structure and microsatellite based genetic variability in Sahiwal cattle. The Indian Journal of Animal Sciences. 74(10). 3 indexed citations
20.
Tantia, M. S., et al.. (2000). Population estimates of sheep and goat breeds of India. Indian Journal of Animal Research. 34(1). 60–63. 4 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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