Partha Narayan Dey

19 total papers · 719 total citations
10 papers, 468 citations indexed

About

Partha Narayan Dey is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Partha Narayan Dey has authored 10 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Partha Narayan Dey's work include Neuroscience and Neuropharmacology Research (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Genetic Syndromes and Imprinting (2 papers). Partha Narayan Dey is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Genetic Syndromes and Imprinting (2 papers). Partha Narayan Dey collaborates with scholars based in India, Germany and Switzerland. Partha Narayan Dey's co-authors include Axel Methner, Amalia M. Dolga, Birgit Honrath, Pamela Maher, Klaus van Leyen, Nihar Ranjan Jana, Swetha K. Godavarthi, Isabel Pérez‐Otaño, Camilla Bellone and Megha Maheshwari and has published in prestigious journals such as Neuron, Journal of Neuroscience and Biochemical and Biophysical Research Communications.

In The Last Decade

Partha Narayan Dey

10 papers receiving 462 citations

Author Peers

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

Author						Papers	Cites
Partha Narayan Dey	254	148	91	85	70	10	468
Pernille Bøttger	259 1.0×	82 0.6×	97 1.1×	77 0.9×	39 0.6×	11	489
Mary‐Alice Abbott	179 0.7×	106 0.7×	86 0.9×	35 0.4×	192 2.7×	19	515
Kyoko Motomura	151 0.6×	104 0.7×	34 0.4×	66 0.8×	156 2.2×	16	512
Ruth Seemann	186 0.7×	172 1.2×	64 0.7×	43 0.5×	54 0.8×	13	511
Dexuan Ma	208 0.8×	99 0.7×	79 0.9×	14 0.2×	85 1.2×	21	524
Sylvia Ortega‐Martínez	175 0.7×	127 0.9×	60 0.7×	14 0.2×	85 1.2×	12	456
Pat Prodanovich	238 0.9×	123 0.8×	22 0.2×	44 0.5×	165 2.4×	12	467
Williams Rj	245 1.0×	251 1.7×	39 0.4×	28 0.3×	61 0.9×	18	544
Clark Gedney	248 1.0×	179 1.2×	41 0.5×	26 0.3×	29 0.4×	8	514
H. Peilot	242 1.0×	107 0.7×	31 0.3×	17 0.2×	33 0.5×	8	528

Countries citing papers authored by Partha Narayan Dey

Since Specialization

Citations

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

Fields of papers citing papers by Partha Narayan Dey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Partha Narayan Dey

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