Ajaykumar N. Sharma

16 total papers · 829 total citations
14 papers, 667 citations indexed

About

Ajaykumar N. Sharma is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ajaykumar N. Sharma has authored 14 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ajaykumar N. Sharma's work include Bipolar Disorder and Treatment (4 papers), Diabetes Treatment and Management (4 papers) and Stress Responses and Cortisol (3 papers). Ajaykumar N. Sharma is often cited by papers focused on Bipolar Disorder and Treatment (4 papers), Diabetes Treatment and Management (4 papers) and Stress Responses and Cortisol (3 papers). Ajaykumar N. Sharma collaborates with scholars based in United States, India and Brazil. Ajaykumar N. Sharma's co-authors include Khalid M. Elased, James B. Lucot, Jair C. Soares, Teresa L. Garrett, João Quevedo, André F. Carvalho, Praveen Shukla, Chandrabhan T. Chopde, Dadasaheb M. Kokare and Rajesh R. Ugale and has published in prestigious journals such as PLoS ONE, Brain Research and Journal of Affective Disorders.

In The Last Decade

Ajaykumar N. Sharma

14 papers receiving 658 citations

Author Peers

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

Author						Papers	Cites
Ajaykumar N. Sharma	193	152	148	138	134	14	667
David S. Janowsky	285 1.5×	105 0.7×	81 0.5×	104 0.8×	41 0.3×	24	708
Magda M. Santana	221 1.1×	111 0.7×	115 0.8×	42 0.3×	38 0.3×	17	657
Gianluigi Guidotti	194 1.0×	235 1.5×	86 0.6×	48 0.3×	52 0.4×	12	646
Kyung-Ho Shin	168 0.9×	220 1.4×	114 0.8×	45 0.3×	34 0.3×	17	695
Kiyohisa Takahashi	256 1.3×	127 0.8×	53 0.4×	77 0.6×	51 0.4×	15	623
Zurine De Miguel	105 0.5×	207 1.4×	142 1.0×	83 0.6×	57 0.4×	10	672
Richard Hauger	165 0.9×	111 0.7×	83 0.6×	57 0.4×	105 0.8×	15	621
Kun-Ruey Shieh	141 0.7×	47 0.3×	143 1.0×	67 0.5×	104 0.8×	14	704
Victoria A. Macht	129 0.7×	96 0.6×	131 0.9×	59 0.4×	28 0.2×	28	556
Sachiko Take	158 0.8×	98 0.6×	100 0.7×	90 0.7×	22 0.2×	18	648

Countries citing papers authored by Ajaykumar N. Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Ajaykumar N. Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajaykumar N. Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Ajaykumar N. Sharma. A scholar is included among the top collaborators of Ajaykumar N. 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 Ajaykumar N. Sharma. Ajaykumar N. 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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