Arjava Sharma

1.0k total citations
65 papers, 723 citations indexed

About

Arjava Sharma is a scholar working on Genetics, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Arjava Sharma has authored 65 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 16 papers in Agronomy and Crop Science and 14 papers in Molecular Biology. Recurrent topics in Arjava Sharma's work include Genetic and phenotypic traits in livestock (27 papers), Sperm and Testicular Function (9 papers) and Animal Genetics and Reproduction (8 papers). Arjava Sharma is often cited by papers focused on Genetic and phenotypic traits in livestock (27 papers), Sperm and Testicular Function (9 papers) and Animal Genetics and Reproduction (8 papers). Arjava Sharma collaborates with scholars based in India and Israel. Arjava Sharma's co-authors include Umesh Singh, Rajib Deb, Sushil Kumar, T. K. Bhattacharya, Rani Singh, Gyanendra Singh Sengar, Indrajit Ganguly, Basavaraj Sajjanar, Pushpendra Kumar and Abhijit Mitra and has published in prestigious journals such as Gene, Theriogenology and Veterinary Microbiology.

In The Last Decade

Arjava Sharma

58 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arjava Sharma India 15 368 237 204 181 84 65 723
Rami T. Kridli Jordan 18 408 1.1× 526 2.2× 172 0.8× 166 0.9× 100 1.2× 56 970
B. K. Joshi India 15 508 1.4× 293 1.2× 119 0.6× 128 0.7× 62 0.7× 70 718
K. Quinn Ireland 13 305 0.8× 340 1.4× 104 0.5× 112 0.6× 57 0.7× 18 754
Sakthivel Jeyakumar India 15 194 0.5× 348 1.5× 257 1.3× 82 0.5× 29 0.3× 48 682
K. P. Ramesha India 16 256 0.7× 348 1.5× 299 1.5× 139 0.8× 21 0.3× 102 813
Lea A. Rempel United States 20 451 1.2× 367 1.5× 289 1.4× 157 0.9× 90 1.1× 56 1.1k
Rani Alex India 12 284 0.8× 183 0.8× 186 0.9× 184 1.0× 84 1.0× 83 565
Christine Große‐Brinkhaus Germany 18 302 0.8× 110 0.5× 212 1.0× 236 1.3× 120 1.4× 51 732
Gyanendra Singh Sengar India 14 207 0.6× 147 0.6× 267 1.3× 282 1.6× 72 0.9× 61 614
M. S. Tantia India 21 773 2.1× 262 1.1× 194 1.0× 209 1.2× 114 1.4× 116 1.0k

Countries citing papers authored by Arjava Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Arjava Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjava Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Arjava Sharma. A scholar is included among the top collaborators of Arjava Sharma 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 Arjava Sharma. Arjava Sharma 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.
Chakraborty, Dibyendu, et al.. (2018). Wool characteristics of poonchi sheep. International Journal of Fauna and Biological Studies. 5(2). 133–135.
2.
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
3.
Gandhi, R. S. & Arjava Sharma. (2016). Conservation of livestock diversity in India under current scenario.. 68(2). 102–107. 4 indexed citations
4.
Ganguly, Indrajit, Rajib Deb, Umesh Singh, et al.. (2015). Eluecidating the role of bovine GnRHR on semen quality traits among crossbred bull. The Indian Journal of Animal Sciences. 85(12).
6.
Panigrahi, Manjit, Arjava Sharma, & Bharat Bhushan. (2014). Molecular Characterization and Expression Profile of Partial TLR4 Gene in Association to Mastitis in Crossbred Cattle. Animal Biotechnology. 25(3). 188–199. 12 indexed citations
7.
Pal, Aruna, P. N. Chatterjee, & Arjava Sharma. (2013). Molecular evolution and structural analysis of Caprine CD14 deduced from cDNA clones. The Indian Journal of Animal Sciences. 83(10). 2 indexed citations
8.
Deb, Rajib, Umesh Singh, Sushil Kumar, et al.. (2013). TIR domain of bovine TLR4 gene in Frieswal crossbred cattle: An early marker for mastitis resistance. The Indian Journal of Animal Sciences. 83(6). 7 indexed citations
9.
Sahoo, Nivedita, et al.. (2013). Use of platelet activating factor for inducing bull sperm capacitation in vitro: a novel approach.. Research opinions in animal & veterinary sciences. 3(10). 348–355. 1 indexed citations
10.
Deb, Rajib, Sushil Kumar, Umesh Singh, et al.. (2013). Evaluation of three bovine Y specific microsatellite loci as an alternative biomarkers for semen quality traits in crossbred bull. Animal Reproduction Science. 142(3-4). 121–125. 11 indexed citations
11.
Ganguly, Indrajit, Gyanendra Kumar Gaur, Sushil Kumar, et al.. (2012). Differential expression of protamine 1 and 2 genes in mature spermatozoa of normal and motility impaired semen producing crossbred Frieswal (HF × Sahiwal) bulls. Research in Veterinary Science. 94(2). 256–262. 60 indexed citations
12.
Kumar, Nishant, Indrajit Ganguly, Rajendra Singh, et al.. (2011). DNA Polymorphism in SLC11A1 Gene and its Association with Brucellosis Resistance in Indian Zebu (Bos indicus) and Crossbred (Bos indicus×Bos taurus) Cattle. Asian-Australasian Journal of Animal Sciences. 24(7). 898–904. 16 indexed citations
13.
Mishra, Chinmoy, et al.. (2011). PCR-RFLP and nucleotide sequencing of mx1 gene in chicken. The Indian Journal of Animal Sciences. 81(7). 2 indexed citations
14.
Kumar, Subodh, et al.. (2011). Sequence variability in CatSper1 gene in Vrindavani crossbred cattle. The Indian Journal of Animal Sciences. 81(9). 5 indexed citations
15.
Mitra, Abhijit, et al.. (2006). Molecular Characterization of the Interferon-tau Gene of the Mithun (Bos frontalis). ZOOLOGICAL SCIENCE. 23(7). 607–611. 4 indexed citations
16.
Singh, Sanjeev, et al.. (2004). Genetic polymorphism of DRB 3.2 gene in Murrah buffalo (Bubalus bubalis) by PCR-RFLP. The Indian Journal of Animal Sciences. 74(4). 1 indexed citations
17.
Bhattacharya, T. K., et al.. (2003). Growth Hormone Gene Polymorphism and Its Effect on Birth Weight in Cattle and Buffalo. Asian-Australasian Journal of Animal Sciences. 16(4). 494–497. 33 indexed citations
18.
Sharma, Arjava, et al.. (2001). Effect of platelet activating factor on some seminal attributes in crossbred cattle. The Indian Journal of Animal Sciences. 71(10). 1 indexed citations
19.
Sharma, Arjava, et al.. (2001). Prediction of fertilization potential of frozen spermatozoa of cattle and buffalo. The Indian Journal of Animal Sciences. 71(4). 331–333. 1 indexed citations
20.
Sharma, Arjava, et al.. (2001). Platelet activating factor-A new phospholipid for improving in vitro fertilizing ability of cattle spermatozoa. The Indian Journal of Animal Sciences. 71(10). 1 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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