Sanchari Datta

769 total citations
9 papers, 526 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 526 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, Australia and India. Sanchari Datta's co-authors include W. Mike Henne, Hanaa Hariri, Bidisha Sinha, Titas Sengupta, J. Ryan Feathers, Rupali Ugrankar, Sean Rogers, Mintu Chandra, Kai‐En Chen and Brett M. Collins 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 523 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sanchari Datta United States	9	330	229	174	110	52	9	526
Kristiina Kanerva Finland	14	385 1.2×	132 0.6×	137 0.8×	77 0.7×	20 0.4×	17	624
Susanne Sales Germany	11	405 1.2×	146 0.6×	31 0.2×	104 0.9×	53 1.0×	13	611
Nina Aula Finland	8	258 0.8×	208 0.9×	50 0.3×	353 3.2×	72 1.4×	10	616
Christoph Potting Germany	7	614 1.9×	113 0.5×	58 0.3×	52 0.5×	45 0.9×	7	732
Seiichi Koike Japan	10	356 1.1×	203 0.9×	30 0.2×	56 0.5×	33 0.6×	16	447
Daxiao Sun China	9	459 1.4×	144 0.6×	65 0.4×	46 0.4×	30 0.6×	10	672
Kira Späte Germany	7	425 1.3×	378 1.7×	17 0.1×	77 0.7×	63 1.2×	8	660
Victoria Allen-Baume United Kingdom	10	269 0.8×	209 0.9×	15 0.1×	97 0.9×	24 0.5×	11	410
Iwona Pranke France	12	274 0.8×	109 0.5×	19 0.1×	75 0.7×	36 0.7×	31	680
Donna Ullrey United States	16	472 1.4×	89 0.4×	141 0.8×	95 0.9×	66 1.3×	34	708

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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9 of 9 papers shown

Datta, Sanchari, Hanaa Hariri, Rupali Ugrankar, et al.. (2020). Snx14 proximity labeling reveals a role in saturated fatty acid metabolism and ER homeostasis defective in SCAR20 disease. Proceedings of the National Academy of Sciences. 117(52). 33282–33294. 18 indexed citations

Ugrankar, Rupali, Hanaa Hariri, Mintu Chandra, et al.. (2019). Drosophila Snazarus Regulates a Lipid Droplet Population at Plasma Membrane-Droplet Contacts in Adipocytes. Developmental Cell. 50(5). 557–572.e5. 65 indexed citations

Chandra, Mintu, Yanni K.‐Y. Chin, Caroline Mas, et al.. (2019). Classification of the human phox homology (PX) domains based on their phosphoinositide binding specificities. Nature Communications. 10(1). 1528–1528. 97 indexed citations

Datta, Sanchari, et al.. (2019). Cholesterol Depletion by MβCD Enhances Cell Membrane Tension and Its Variations-Reducing Integrity. Biophysical Journal. 116(8). 1456–1468. 73 indexed citations

Datta, Sanchari, et al.. (2019). Cerebellar ataxia disease–associated Snx14 promotes lipid droplet growth at ER–droplet contacts. The Journal of Cell Biology. 218(4). 1335–1351. 96 indexed citations

Hariri, Hanaa, Sean Rogers, Gang Fu, et al.. (2019). Mdm1 maintains endoplasmic reticulum homeostasis by spatially regulating lipid droplet biogenesis. The Journal of Cell Biology. 218(4). 1319–1334. 89 indexed citations

Liu, Yang, Sanchari Datta, Hanaa Hariri, et al.. (2018). SNX14 mutations affect endoplasmic reticulum-associated neutral lipid metabolism in autosomal recessive spinocerebellar ataxia 20. Human Molecular Genetics. 27(11). 1927–1940. 52 indexed citations

Estrada, Carlos R., Sanchari Datta, Francis X. Schneck, et al.. (2009). Caliceal Diverticula in Children: Natural History and Management. The Journal of Urology. 181(3). 1306–1311. 25 indexed citations

Datta, Sanchari, et al.. (2006). Correlation of anemia, secondary hyperparathyroidism with left ventricular hypertrophy in Chronic Kidney Disease patients.. PubMed. 54. 699–703. 11 indexed citations

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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