Akshay Sharma

569 total citations
50 papers, 364 citations indexed

About

Akshay Sharma is a scholar working on Agronomy and Crop Science, Genetics and Small Animals. According to data from OpenAlex, Akshay Sharma has authored 50 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Agronomy and Crop Science, 15 papers in Genetics and 8 papers in Small Animals. Recurrent topics in Akshay Sharma's work include Reproductive Physiology in Livestock (25 papers), Genetic and phenotypic traits in livestock (15 papers) and Reproductive Biology and Fertility (6 papers). Akshay Sharma is often cited by papers focused on Reproductive Physiology in Livestock (25 papers), Genetic and phenotypic traits in livestock (15 papers) and Reproductive Biology and Fertility (6 papers). Akshay Sharma collaborates with scholars based in India, United States and Oman. Akshay Sharma's co-authors include Inderbir Singh, Moinuddin Moinuddin, Zainul Abdin Jaffery, Gyanendra Sheoran, Mahesh J. Kulkarni, Amit Sharma, Shalu Rai, M. Rondón, Pavithra S. Pitumpe Arachchige and Michael S. Watt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The American Journal of Gastroenterology.

In The Last Decade

Akshay Sharma

36 papers receiving 354 citations

Peers

Akshay Sharma
Comparison fields: 5 of 97
  • Rehabilitation 68
  • Atomic and Molecular Physics, and Optics 67
  • Computer Vision and Pattern Recognition 65
  • Media Technology 49
  • Plant Science 44
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Yichen He China
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V. A. Huck-Pezzei Austria
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Jiří Novák Czechia
Patrick Jackman Ireland
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Citations per field, relative to Akshay Sharma
Akshay Sharma · 1×
Citations per year, relative to Akshay Sharma
Akshay Sharma · 1×

Countries citing papers authored by Akshay Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Akshay Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Akshay Sharma. A scholar is included among the top collaborators of Akshay 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 Akshay Sharma. Akshay 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
# Work Indexed citations
1 0
2 0
3 0
4 8
5 1
6 2
7 5
8 0
9 0
10 1
11 0
12 1
13
Comparison of pre-ovulatory follicle and corpus luteum size following GnRH and hCG based synchronization protocols in repeat breeder cows.
1
14 10
15
STUDIES ON CLINICAL EFFICACY OF SOME THERAPEUTIC REGIMENS FOR THE MANAGEMENT OF ENDOMETRITIS IN COWS
2
16 37
17 2
18
DYSTOCIA IN ZEBU CATTLE DUE TO PEROSOMUS ELUMBIS – A CASE REPORT
0
19 0
20
Effect of gonadotrophin releasing hormone administration on conception rate following artificial insemination in repeat breeder cattle
1

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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