Prabuddha Dey

30 total papers · 704 total citations
19 papers, 505 citations indexed

About

Prabuddha Dey is a scholar working on Molecular Biology, Cell Biology and Biochemistry. According to data from OpenAlex, Prabuddha Dey has authored 19 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Biochemistry. Recurrent topics in Prabuddha Dey's work include Fungal and yeast genetics research (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Lipid metabolism and biosynthesis (3 papers). Prabuddha Dey is often cited by papers focused on Fungal and yeast genetics research (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Lipid metabolism and biosynthesis (3 papers). Prabuddha Dey collaborates with scholars based in United States, India and Denmark. Prabuddha Dey's co-authors include Mrinal K. Maiti, Joydeep Banerjee, Zbigniew J. Witczak, Kenneth R. Reuhl, Michael Gochfeld, Gil‐Soo Han, George Carman, Natasha Das, Wen‐Min Su and Joanna Burger and has published in prestigious journals such as Journal of Biological Chemistry, Bioresource Technology and Brain Research.

In The Last Decade

Prabuddha Dey

18 papers receiving 490 citations

Author Peers

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

Author						Papers	Cites
Prabuddha Dey	292	98	94	67	63	19	505
Magdalena Kwolek‐Mirek	360 1.2×	66 0.7×	98 1.0×	20 0.3×	45 0.7×	23	586
Slim Chérif	356 1.2×	44 0.4×	48 0.5×	33 0.5×	20 0.3×	31	564
D. A. Lillard	182 0.6×	119 1.2×	70 0.7×	53 0.8×	33 0.5×	36	616
William L. Orton	326 1.1×	122 1.2×	167 1.8×	42 0.6×	18 0.3×	24	585
Khalid O. Abulnaja	195 0.7×	21 0.2×	166 1.8×	24 0.4×	22 0.3×	37	554
Jittra Piapukiew	112 0.4×	72 0.7×	201 2.1×	21 0.3×	130 2.1×	30	469
R. H. Egli	146 0.5×	90 0.9×	59 0.6×	59 0.9×	20 0.3×	19	550
Daniele Silvestro	355 1.2×	32 0.3×	221 2.4×	19 0.3×	31 0.5×	13	596
R.G. Arnold	200 0.7×	100 1.0×	48 0.5×	34 0.5×	22 0.3×	31	618
Keiko Tokuoka	268 0.9×	46 0.5×	172 1.8×	36 0.5×	46 0.7×	20	477

Countries citing papers authored by Prabuddha Dey

Since Specialization

Citations

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

Fields of papers citing papers by Prabuddha Dey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabuddha Dey

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