Amit Shah

51 total papers · 984 total citations
29 papers, 538 citations indexed

About

Amit Shah is a scholar working on Molecular Biology, Geometry and Topology and Algebra and Number Theory. According to data from OpenAlex, Amit Shah has authored 29 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Geometry and Topology and 7 papers in Algebra and Number Theory. Recurrent topics in Amit Shah's work include Algebraic structures and combinatorial models (7 papers), Advanced Topics in Algebra (6 papers) and HIV/AIDS drug development and treatment (5 papers). Amit Shah is often cited by papers focused on Algebraic structures and combinatorial models (7 papers), Advanced Topics in Algebra (6 papers) and HIV/AIDS drug development and treatment (5 papers). Amit Shah collaborates with scholars based in United States, United Kingdom and Denmark. Amit Shah's co-authors include Gary L. Nelsestuen, Joann B. Sweasy, Björn Dahlbäck, Walter Kisiel, Ruth A. Schwalbe, John F. McDonald, Karen S. Anderson, Shuxia Li, Stephen B. Harvey and Lei Shen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Amit Shah

25 papers receiving 523 citations

Author Peers

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

Author						Papers	Cites
Amit Shah	256	150	76	63	51	29	538
Shi‐Shan Mao	211 0.8×	192 1.3×	31 0.4×	103 1.6×	11 0.2×	18	616
Kyle Elrod	269 1.1×	145 1.0×	18 0.2×	110 1.7×	46 0.9×	23	606
Valeria Chu	123 0.5×	177 1.2×	17 0.2×	99 1.6×	37 0.7×	31	543
Richard D. Horniblow	180 0.7×	89 0.6×	46 0.6×	11 0.2×	76 1.5×	20	450
Thomas Neumann	244 1.0×	65 0.4×	58 0.8×	68 1.1×	11 0.2×	41	608
Salwa Sabet	218 0.9×	18 0.1×	36 0.5×	72 1.1×	30 0.6×	33	594
Henrike Bruckmueller	191 0.7×	65 0.4×	51 0.7×	10 0.2×	14 0.3×	25	593
Sandra K. Wittmann	218 0.9×	23 0.2×	37 0.5×	74 1.2×	16 0.3×	22	602
Gaëlle Noé	242 0.9×	54 0.4×	21 0.3×	41 0.7×	5 0.1×	26	610
Anthony J. Chubb	280 1.1×	79 0.5×	30 0.4×	60 1.0×	11 0.2×	24	607

Countries citing papers authored by Amit Shah

Since Specialization

Citations

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

Fields of papers citing papers by Amit Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Shah

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