Sandeepa Dey

634 total citations
10 papers, 437 citations indexed

About

Sandeepa Dey is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Nutrition and Dietetics. According to data from OpenAlex, Sandeepa Dey has authored 10 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Sensory Systems and 7 papers in Nutrition and Dietetics. Recurrent topics in Sandeepa Dey's work include Neurobiology and Insect Physiology Research (9 papers), Olfactory and Sensory Function Studies (8 papers) and Biochemical Analysis and Sensing Techniques (7 papers). Sandeepa Dey is often cited by papers focused on Neurobiology and Insect Physiology Research (9 papers), Olfactory and Sensory Function Studies (8 papers) and Biochemical Analysis and Sensing Techniques (7 papers). Sandeepa Dey collaborates with scholars based in United States, Germany and United Kingdom. Sandeepa Dey's co-authors include Hiroaki Matsunami, Lisa Stowers, Darren W. Logan, Angeldeep W. Kaur, James K. Pru, Ximena Ibarra-Soria, John J. Peluso, Pablo Chamero, Ming‐Shan Chien and Tsung-Han Kuo and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Endocrinology.

In The Last Decade

Sandeepa Dey

10 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sandeepa Dey United States	7	221	207	151	113	64	10	437
Ming‐Shan Chien United States	9	221 1.0×	165 0.8×	163 1.1×	58 0.5×	78 1.2×	12	521
Kennedy S. Wekesa United States	11	220 1.0×	204 1.0×	155 1.0×	64 0.6×	22 0.3×	14	354
Martina Jäger Germany	4	304 1.4×	246 1.2×	213 1.4×	65 0.6×	15 0.2×	5	460
Jessica H. Brann United States	12	314 1.4×	199 1.0×	169 1.1×	32 0.3×	19 0.3×	14	501
Judith L. Wellington United States	11	310 1.4×	193 0.9×	150 1.0×	115 1.0×	24 0.4×	15	468
Kirill Ukhanov United States	13	286 1.3×	370 1.8×	168 1.1×	37 0.3×	34 0.5×	32	587
J Bard United States	6	224 1.0×	90 0.4×	88 0.6×	78 0.7×	38 0.6×	7	405
Shigeru Takami Japan	17	581 2.6×	469 2.3×	441 2.9×	61 0.5×	50 0.8×	37	799
Sachiko Haga‐Yamanaka United States	10	707 3.2×	675 3.3×	439 2.9×	182 1.6×	50 0.8×	23	998
Renee E. Cockerham United States	7	247 1.1×	224 1.1×	181 1.2×	42 0.4×	22 0.3×	7	375

Countries citing papers authored by Sandeepa Dey

Since Specialization

Citations

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

Fields of papers citing papers by Sandeepa Dey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeepa Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeepa Dey. A scholar is included among the top collaborators of Sandeepa Dey 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 Sandeepa Dey. Sandeepa Dey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Schoeller, Erica L., Daniel D. Clark, Sandeepa Dey, et al.. (2016). Bmal1 Is Required for Normal Reproductive Behaviors in Male Mice. Endocrinology. 157(12). 4914–4929. 39 indexed citations

Dey, Sandeepa, Pablo Chamero, James K. Pru, et al.. (2015). Cyclic Regulation of Sensory Perception by a Female Hormone Alters Behavior. Cell. 161(6). 1334–1344. 140 indexed citations

Kaur, Angeldeep W., Tobias Ackels, Tsung-Han Kuo, et al.. (2014). Murine Pheromone Proteins Constitute a Context-Dependent Combinatorial Code Governing Multiple Social Behaviors. Cell. 157(3). 676–688. 144 indexed citations

Jiang, Yue, Sandeepa Dey, & Hiroaki Matsunami. (2014). Calreticulin: Roles in Cell-Surface Protein Expression. Membranes. 4(3). 630–641. 29 indexed citations

Kaur, Angeldeep W., Sandeepa Dey, & Lisa Stowers. (2013). Live Cell Calcium Imaging of Dissociated Vomeronasal Neurons. Methods in molecular biology. 1068. 189–200. 7 indexed citations

Dey, Sandeepa, et al.. (2013). A Protocol for Heterologous Expression and Functional Assay for Mouse Pheromone Receptors. Methods in molecular biology. 1068. 121–131. 2 indexed citations

Dey, Sandeepa, et al.. (2011). Assaying Surface Expression of Chemosensory Receptors in Heterologous Cells. Journal of Visualized Experiments. 5 indexed citations

Dey, Sandeepa, et al.. (2011). Assaying Surface Expression of Chemosensory Receptors in Heterologous Cells. Journal of Visualized Experiments. 1 indexed citations

Dey, Sandeepa & Hiroaki Matsunami. (2011). Calreticulin chaperones regulate functional expression of vomeronasal type 2 pheromone receptors. Proceedings of the National Academy of Sciences. 108(40). 16651–16656. 44 indexed citations

10.

Matsunami, Hiroaki, Joel D. Mainland, & Sandeepa Dey. (2009). Trafficking of Mammalian Chemosensory Receptors by Receptor‐transporting Proteins. Annals of the New York Academy of Sciences. 1170(1). 153–156. 26 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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