Pradeep Narayanaswamy

27 total papers · 1.2k total citations
13 papers, 911 citations indexed

About

Pradeep Narayanaswamy is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Pradeep Narayanaswamy has authored 13 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Pradeep Narayanaswamy's work include Sphingolipid Metabolism and Signaling (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Cellular transport and secretion (3 papers). Pradeep Narayanaswamy is often cited by papers focused on Sphingolipid Metabolism and Signaling (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Cellular transport and secretion (3 papers). Pradeep Narayanaswamy collaborates with scholars based in Singapore, United States and Germany. Pradeep Narayanaswamy's co-authors include Federico Torta, Markus R. Wenk, Pietro De Camilli, Lukas B. Tanner, Jeeyun Chung, Fubito Nakatsu, Louise Lucast, Kaori Masai, Curtis Schauder and Karin M. Reinisch and has published in prestigious journals such as Nature, Science and Analytical Chemistry.

In The Last Decade

Pradeep Narayanaswamy

12 papers receiving 908 citations

Hit Papers

PI4P/phosphatidylserine c... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Pradeep Narayanaswamy 691 435 105 97 70 13 911
Louise H. Wong 816 1.2× 457 1.1× 120 1.1× 115 1.2× 75 1.1× 11 1.2k
Ralph SCHALOSKE 592 0.9× 235 0.5× 92 0.9× 121 1.2× 66 0.9× 14 967
Andrew Murley 1.0k 1.5× 319 0.7× 85 0.8× 103 1.1× 32 0.5× 9 1.2k
Arun Raturi 684 1.0× 417 1.0× 77 0.7× 158 1.6× 48 0.7× 14 1.0k
Agnès H. Michel 838 1.2× 289 0.7× 67 0.6× 46 0.5× 23 0.3× 16 992
Cristiano Iurisci 727 1.1× 528 1.2× 87 0.8× 96 1.0× 115 1.6× 21 985
Dániel J. Tóth 528 0.8× 317 0.7× 32 0.3× 66 0.7× 62 0.9× 21 798
Cornelia Czupalla 762 1.1× 249 0.6× 34 0.3× 133 1.4× 44 0.6× 23 1.0k
Michele Santoro 800 1.2× 669 1.5× 52 0.5× 180 1.9× 109 1.6× 18 1.2k
Tamás Virág 825 1.2× 178 0.4× 80 0.8× 111 1.1× 46 0.7× 13 1.0k

Countries citing papers authored by Pradeep Narayanaswamy

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Narayanaswamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Narayanaswamy

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