Arjava Sharma

1.2k citations
91 papers · 937 · h-index 16

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 66
    • Genetic diversity and population structure 2
    • Sperm and Testicular Function 13

Arjava Sharma

82 papers receiving 843 citations

Peers

Arjava Sharma
Comparison fields: 5 of 37
  • Genetics 585
  • Animal Science and Zoology 146
  • Reproductive Medicine 92
  • Agronomy and Crop Science 88
  • Small Animals 49
Replace Elisabeth Jonas with:
Elisabeth Jonas Sweden
Christine Große‐Brinkhaus Germany
Indrajit Ganguly India
Juan Pablo Sánchez Spain
T. K. Bhattacharya India
Michael Ohiokhuaobo Ozoje Nigeria
ATISH KUMAR CHAKRAVARTY India
Laurence Drouilhet France
Monchai Duangjinda Thailand
Hanpeng Luo China
Arjava Sharma relative to Elisabeth Jonas Sweden Elisabeth Jonas's profile →
Citations per field
00.5×1.7×
Elisabeth Jonas · 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 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013105
2 201482
3 201263
4 201353
5 200535
6 200334
7 200530
8 200426
9 200626
10 201426
11 200724
12 200522
13 201122
14 200419
15 200417
16 201116
17 200914
18 201014
19 201414
20 200413

About Arjava Sharma

Arjava Sharma is a scholar working on Genetics, Reproductive Medicine, Agronomy and Crop Science, Small Animals and Animal Science and Zoology, having authored 91 papers that have together received 937 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (66 papers), Sperm and Testicular Function (13 papers), Milk Quality and Mastitis in Dairy Cows (6 papers), Livestock Farming and Management (5 papers), Brucella: diagnosis, epidemiology, treatment (5 papers), vaccines and immunoinformatics approaches (3 papers), Immune Response and Inflammation (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Genetics (585 citations), Animal Science and Zoology (146 citations), Reproductive Medicine (92 citations), Agronomy and Crop Science (88 citations) and Small Animals (49 citations). Arjava Sharma has collaborated with scholars based in India, United States and Israel. Frequent co-authors include Umesh Singh, T. K. Bhattacharya, Rajib Deb, Sushil Kumar, Rani Singh, Gyanendra Singh Sengar, Bharat Bhushan, Pushpendra Kumar, Abhijit Mitra and Indrajit Ganguly. Their work appears in journals such as Journal of Applied Animal Research, Asian-Australasian Journal of Animal Sciences, Veterinary Immunology and Immunopathology, The Indian Journal of Animal Sciences 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.

Explore authors with similar magnitude of impact