Pradeep Narayanaswamy

1.3k citations
13 papers · 918 indexed · 1 hit paper · h-index 10
Topics
Sphingolipid Metabolism and Signaling (5 papers)Lipid Membrane Structure and Behavior (4 papers)Cellular transport and secretion (3 papers)

In The Last Decade

Pradeep Narayanaswamy

13 papers receiving 915 citations

Hit Papers

PI4P/phosphatidylserine countertransport at ORP5- and ORP...20152026201820222015100200300400

Peers

Pradeep Narayanaswamy
Comparison fields: 5 of 85
  • Molecular Biology 695
  • Cell Biology 437
  • Biochemistry 108
  • Physiology 97
  • Surgery 70
Replace Holger Lorenz with:
Holger Lorenz Germany
Gil Kanfer Switzerland
Kaori Masai Japan
Michal Eisenberg‐Bord Israel
Andrew Murley United States
René Rost Austria
Christopher J. Guerriero United States
T. Tony Yang Taiwan
Dániel J. Tóth Hungary
Justin Yamada United States
Pradeep Narayanaswamy relative to Holger Lorenz Germany Holger Lorenz's profile →
Citations per field
00.5×1.5×2.5×
Holger Lorenz · 1×
Citations per year

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

13 of 13 papers shown
#WorkIndexed citations
1 1
2 8
3 3
4 14
5 12
6 9
7 36
8
PI4P/phosphatidylserine countertransport at ORP5- and ORP8-mediated ER–plasma membrane contactsbreakdown →
475
9 18
10 246
11 68
12 18
13 10

About Pradeep Narayanaswamy

Pradeep Narayanaswamy is a scholar working on Developmental Neuroscience, Cell Biology and Molecular Biology, having authored 13 papers that have together received 918 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cell Biology (437 citations), Physiology (70 citations) and Biochemistry (108 citations). Pradeep Narayanaswamy has collaborated with scholars based in Singapore, United States and Germany. Frequent co-authors include Federico Torta, Markus R. Wenk, Pietro De Camilli, Kaori Masai, Louise Lucast, Jeeyun Chung, Fubito Nakatsu, Lukas B. Tanner, Karin M. Reinisch and Yasunori Saheki. Their work appears in journals such as Nature, Science and Analytical Chemistry.

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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