Shuvadeep Maity

70 total papers · 952 total citations
21 papers, 631 citations indexed

About

Shuvadeep Maity is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shuvadeep Maity has authored 21 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Cell Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shuvadeep Maity's work include Endoplasmic Reticulum Stress and Disease (10 papers), Heat shock proteins research (4 papers) and Mitochondrial Function and Pathology (4 papers). Shuvadeep Maity is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (10 papers), Heat shock proteins research (4 papers) and Mitochondrial Function and Pathology (4 papers). Shuvadeep Maity collaborates with scholars based in India, United States and Singapore. Shuvadeep Maity's co-authors include Vaishali Kumar, Shantanu Sengupta, Shweta Tikoo, Sagar Sengupta, Amandeep Kaur, Anand Bachhawat, Akhilesh Kumar, Kausik Chakraborty, Christine Vogel and Pragya Komal and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Shuvadeep Maity

20 papers receiving 621 citations

Author Peers

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

Author						Papers	Cites
Shuvadeep Maity	405	158	82	81	53	21	631
Derek B. Oien	524 1.3×	120 0.8×	116 1.4×	53 0.7×	37 0.7×	28	760
Yvonne Hinze	473 1.2×	97 0.6×	117 1.4×	79 1.0×	28 0.5×	16	784
Beáta Lizák	343 0.8×	256 1.6×	69 0.8×	111 1.4×	20 0.4×	16	694
Andrew Kuo	407 1.0×	147 0.9×	93 1.1×	40 0.5×	30 0.6×	21	654
Victor Debbas	230 0.6×	73 0.5×	145 1.8×	74 0.9×	38 0.7×	28	597
Suleva Povea-Cabello	466 1.2×	56 0.4×	85 1.0×	62 0.8×	41 0.8×	29	704
Céline Boursier	259 0.6×	153 1.0×	71 0.9×	151 1.9×	76 1.4×	16	634
Katalin Pintér	580 1.4×	114 0.7×	72 0.9×	45 0.6×	25 0.5×	23	767
Kohta Takahashi	503 1.2×	163 1.0×	162 2.0×	58 0.7×	34 0.6×	26	725
Ana Gómez-Larrauri	511 1.3×	101 0.6×	132 1.6×	70 0.9×	27 0.5×	17	679

Countries citing papers authored by Shuvadeep Maity

Since Specialization

Citations

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

Fields of papers citing papers by Shuvadeep Maity

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuvadeep Maity

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