Swastika Maity

25 total papers · 427 total citations
11 papers, 217 citations indexed

About

Swastika Maity is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Swastika Maity has authored 11 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Infectious Diseases. Recurrent topics in Swastika Maity's work include Computational Drug Discovery Methods (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Diverse Scientific Research Studies (2 papers). Swastika Maity is often cited by papers focused on Computational Drug Discovery Methods (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Diverse Scientific Research Studies (2 papers). Swastika Maity collaborates with scholars based in India, United States and Australia. Swastika Maity's co-authors include Yogendra Nayak, K. Sreedhara Ranganath Pai, Chetan Hasmukh Mehta, Usha Y. Nayak, Akhil Suresh, Madhavan Nampoothiri, Jayesh Mudgal, Devinder Arora, Manas Kinra and Sairaj Satarker and has published in prestigious journals such as Scientific Reports, European Journal of Pharmacology and Archives of Medical Research.

In The Last Decade

Swastika Maity

11 papers receiving 215 citations

Author Peers

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

Author						Papers	Cites
Swastika Maity	88	71	40	39	37	11	217
Muhammad Hassan	165 1.9×	67 0.9×	22 0.6×	17 0.4×	40 1.1×	16	308
Jean-Pierre A. Kocher	159 1.8×	47 0.7×	11 0.3×	21 0.5×	27 0.7×	11	290
Serena Dotolo	130 1.5×	118 1.7×	62 1.6×	14 0.4×	55 1.5×	13	284
F A Dain Md Opo	141 1.6×	125 1.8×	24 0.6×	16 0.4×	64 1.7×	12	323
Sahar Qazi	118 1.3×	81 1.1×	37 0.9×	16 0.4×	35 0.9×	23	252
Tamina Park	90 1.0×	34 0.5×	29 0.7×	11 0.3×	50 1.4×	16	278
Amar Ajmal	150 1.7×	109 1.5×	30 0.8×	18 0.5×	99 2.7×	24	321
Iqra Ali	100 1.1×	71 1.0×	17 0.4×	11 0.3×	70 1.9×	20	314
Pritee Chunarkar Patil	106 1.2×	54 0.8×	37 0.9×	7 0.2×	45 1.2×	21	216
Palak K. Parikh	155 1.8×	23 0.3×	50 1.3×	15 0.4×	56 1.5×	23	329

Countries citing papers authored by Swastika Maity

Since Specialization

Citations

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

Fields of papers citing papers by Swastika Maity

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swastika Maity

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