Supriya Dey

33 total papers · 474 total citations
15 papers, 385 citations indexed

About

Supriya Dey is a scholar working on Organic Chemistry, Molecular Biology and Cell Biology. According to data from OpenAlex, Supriya Dey has authored 15 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organic Chemistry, 7 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Supriya Dey's work include Carbohydrate Chemistry and Synthesis (11 papers), Glycosylation and Glycoproteins Research (6 papers) and Synthetic Organic Chemistry Methods (3 papers). Supriya Dey is often cited by papers focused on Carbohydrate Chemistry and Synthesis (11 papers), Glycosylation and Glycoproteins Research (6 papers) and Synthetic Organic Chemistry Methods (3 papers). Supriya Dey collaborates with scholars based in India, United States and Taiwan. Supriya Dey's co-authors include Chi‐Huey Wong, H. Christine Lo, Narayanaswamy Jayaraman, Chung‐Yi Wu, Wen‐Harn Pan, Yixuan Zhou, Cheng‐Wei Cheng, Wen‐Lian Hsu, Tsung-I Tsai and Kevin Wu and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Tetrahedron.

In The Last Decade

Supriya Dey

14 papers receiving 385 citations

Author Peers

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

Author						Papers	Cites
Supriya Dey	318	247	67	30	30	15	385
Weizhun Yang	270 0.8×	275 1.1×	95 1.4×	25 0.8×	25 0.8×	23	341
Kiyoaki Katano	331 1.0×	324 1.3×	18 0.3×	45 1.5×	31 1.0×	24	425
M. Manuela A. Pereira	235 0.7×	149 0.6×	32 0.5×	38 1.3×	11 0.4×	19	435
Sung‐Kee Chung	171 0.5×	211 0.9×	54 0.8×	38 1.3×	77 2.6×	31	401
Hiroshi Itazaki	175 0.6×	228 0.9×	23 0.3×	81 2.7×	29 1.0×	15	415
Cheryl L. Budde	94 0.3×	300 1.2×	52 0.8×	21 0.7×	45 1.5×	13	436
Lada Klaić	72 0.2×	257 1.0×	37 0.6×	29 1.0×	12 0.4×	10	393
Maurice J. Bertolini	194 0.6×	311 1.3×	42 0.6×	7 0.2×	45 1.5×	13	409
M Shipton	105 0.3×	198 0.8×	34 0.5×	10 0.3×	41 1.4×	9	381
Joanna Krysiak	160 0.5×	228 0.9×	50 0.7×	48 1.6×	19 0.6×	19	351

Countries citing papers authored by Supriya Dey

Since Specialization

Citations

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

Fields of papers citing papers by Supriya Dey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriya Dey

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