Amit Sharma

41 total papers · 725 total citations
21 papers, 478 citations indexed

About

Amit Sharma is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Amit Sharma has authored 21 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Molecular Biology. Recurrent topics in Amit Sharma's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers) and Pharmaceutical Practices and Patient Outcomes (3 papers). Amit Sharma is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers) and Pharmaceutical Practices and Patient Outcomes (3 papers). Amit Sharma collaborates with scholars based in India, South Korea and United States. Amit Sharma's co-authors include Dipayan Rudra, Sanjay Kalra, Bharti Kalra, Sin‐Hyeog Im, Garima Sharma, Nam‐Young Kang, Satinath Mukhopadhyay, Zhongjie Shi, Young‐Tae Chang and Titli Nargis and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Amit Sharma

19 papers receiving 466 citations

Author Peers

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

Author Last Decade Papers Cites
Amit Sharma 205 104 82 82 68 21 478
Mads Krogsgaard Thomsen 202 1.0× 125 1.2× 79 1.0× 67 0.8× 30 0.4× 28 551
Erika Ricci 279 1.4× 92 0.9× 95 1.2× 55 0.7× 49 0.7× 16 531
Sara Bruzzaniti 161 0.8× 159 1.5× 43 0.5× 42 0.5× 74 1.1× 24 479
Yanyan Hu 168 0.8× 110 1.1× 56 0.7× 115 1.4× 36 0.5× 25 428
Jeffress G. Palmer 133 0.6× 68 0.7× 68 0.8× 59 0.7× 27 0.4× 22 478
Jennifer A. Cartwright 148 0.7× 118 1.1× 58 0.7× 44 0.5× 45 0.7× 22 456
Ulrich Züegel 186 0.9× 87 0.8× 38 0.5× 37 0.5× 70 1.0× 11 525
Cruz Velasco‐Gonzalez 179 0.9× 139 1.3× 82 1.0× 33 0.4× 38 0.6× 32 466
Darwin O. Chee 201 1.0× 138 1.3× 87 1.1× 133 1.6× 116 1.7× 21 530
Fotios Koumpouras 133 0.6× 88 0.8× 40 0.5× 40 0.5× 39 0.6× 17 469

Countries citing papers authored by Amit Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Amit Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Sharma

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