Akshay Sharma

123 total papers · 562 total citations
49 papers, 356 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 49 papers receiving a total of 356 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 Cameroon. Akshay Sharma's co-authors include Inderbir Singh, Gyanendra Sheoran, Moinuddin Moinuddin, Zainul Abdin Jaffery, Mahesh J. Kulkarni, Amit Sharma, Shalu Rai, Midhun Mohan, Neelam Bhardwaj and Rohit Sharma 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

35 papers receiving 347 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Akshay Sharma	67	66	65	49	44	49	356
Tomita	5 0.1×	2 0.0×	56 0.9×	13 0.3×	32 0.7×	27	331
Yu Liu	4 0.1×	12 0.2×	63 1.0×	6 0.1×	44 1.0×	42	371
Xiaoqing Ma	1 0.0×	10 0.2×	31 0.5×	46 0.9×	62 1.4×	29	368
Ji Hyun Bae		15 0.2×	22 0.3×	13 0.3×	29 0.7×	33	331
Cui Ma	3 0.0×	5 0.1×	9 0.1×	7 0.1×	16 0.4×	29	393
Yuanke Zhang	4 0.1×	3 0.0×	69 1.1×	15 0.3×	30 0.7×	42	386
Zhijie Chen		19 0.3×	68 1.0×	23 0.5×	79 1.8×	43	355
Yue Yu	6 0.1×	9 0.1×	20 0.3×		56 1.3×	23	363
Hong Zhu		12 0.2×	15 0.2×	19 0.4×	20 0.5×	41	376
Yanqiu Wang	13 0.2×		8 0.1×	3 0.1×	85 1.9×	25	387

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

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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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