Arjava Sharma

1.0k citations
66 papers · 774 · h-index 15

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 28
    • Animal Genetics and Reproduction 8
    • Livestock Management and Performance Improvement 8

Arjava Sharma

60 papers receiving 709 citations

Peers

Arjava Sharma
Comparison fields: 5 of 59
  • Agronomy and Crop Science 246
  • Animal Science and Zoology 218
  • Genetics 381
  • Reproductive Medicine 64
  • Small Animals 48
Replace B. K. Joshi with:
B. K. Joshi India
K. P. Ramesha India
Sakthivel Jeyakumar India
Rani Alex India
Gyanendra Singh Sengar India
M. S. Tantia India
Gy. Huszenicza Hungary
M. L. Martinez Brazil
Manjit Panigrahi India
Yuanmei Guo China
Arjava Sharma relative to B. K. Joshi India B. K. Joshi's profile →
Citations per field
00.5×3.6×
B. K. Joshi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Arjava Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arjava Sharma Line = papers co-authored together Arjava Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013103
2 201482
3 201263
4 201352
5 200535
6 200334
7 200426
8 201424
9 200523
10 200722
11 201122
12 200418
13 200417
14 201116
15 200914
16 201414
17 200413
18 202212
19 201412
20 201312

About Arjava Sharma

Arjava Sharma is a scholar working on Genetics, Agronomy and Crop Science, Molecular Biology, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 66 papers that have together received 774 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (28 papers), Agricultural Systems and Practices (9 papers), Sperm and Testicular Function (9 papers), Animal Genetics and Reproduction (8 papers), Cancer-related molecular mechanisms research (8 papers), Livestock Management and Performance Improvement (8 papers), Microbial infections and disease research (7 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). The work is most often cited by research in Agronomy and Crop Science (246 citations), Animal Science and Zoology (218 citations), Genetics (381 citations), Reproductive Medicine (64 citations) and Small Animals (48 citations). Arjava Sharma has collaborated with scholars based in India, United States and Israel. Frequent co-authors include Umesh Singh, Rajib Deb, Sushil Kumar, T. K. Bhattacharya, Rani Singh, Gyanendra Singh Sengar, Basavaraj Sajjanar, Indrajit Ganguly, Pushpendra Kumar and Abhijit Mitra. Their work appears in journals such as Asian-Australasian Journal of Animal Sciences, Journal of Applied Animal Research, Veterinary Immunology and Immunopathology, Veterinary Microbiology and Gene.

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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