Sanchari Datta

20 total papers · 764 total citations
9 papers, 525 citations indexed

About

Sanchari Datta is a scholar working on Molecular Biology, Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sanchari Datta has authored 9 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Biochemistry and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sanchari Datta's work include Lipid metabolism and biosynthesis (4 papers), Genetic Neurodegenerative Diseases (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). Sanchari Datta is often cited by papers focused on Lipid metabolism and biosynthesis (4 papers), Genetic Neurodegenerative Diseases (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). Sanchari Datta collaborates with scholars based in United States, India and Australia. Sanchari Datta's co-authors include W. Mike Henne, Hanaa Hariri, Titas Sengupta, Bidisha Sinha, Rupali Ugrankar, J. Ryan Feathers, Sean Rogers, Brett M. Collins, Mintu Chandra and Kai‐En Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Sanchari Datta

9 papers receiving 521 citations

Author Peers

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

Author						Papers	Cites
Sanchari Datta	329	227	173	109	52	9	525
Melanie Freeman	309 0.9×	193 0.9×	77 0.4×	57 0.5×	63 1.2×	6	501
Jae-Sook Park	436 1.3×	275 1.2×	59 0.3×	109 1.0×	59 1.1×	10	616
Mark T. Handley	302 0.9×	296 1.3×	46 0.3×	89 0.8×	83 1.6×	15	557
Kristen Huang	417 1.3×	367 1.6×	56 0.3×	43 0.4×	21 0.4×	6	546
Tomoko Sayano	394 1.2×	63 0.3×	132 0.8×	84 0.8×	73 1.4×	12	526
Selma Y. Dejgaard	274 0.8×	269 1.2×	54 0.3×	59 0.5×	35 0.7×	13	449
Nina Aula	260 0.8×	210 0.9×	50 0.3×	355 3.3×	71 1.4×	10	615
Oliver Zaccheo	338 1.0×	94 0.4×	53 0.3×	47 0.4×	35 0.7×	10	493
Andrés Guillén-Samander	314 1.0×	182 0.8×	45 0.3×	87 0.8×	69 1.3×	13	460
William Hancock‐Cerutti	357 1.1×	248 1.1×	104 0.6×	155 1.4×	47 0.9×	12	615

Countries citing papers authored by Sanchari Datta

Since Specialization

Citations

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

Fields of papers citing papers by Sanchari Datta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanchari Datta

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