Navin Gopaldass

640 citations
17 papers · 411 indexed · h-index 11
    • Cellular transport and secretion 14
    • Cellular Mechanics and Interactions 3
  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism 4
    • Lysosomal Storage Disorders Research 2
    • Autophagy in Disease and Therapy 4
    • Lipid Membrane Structure and Behavior 7
    • Glycosylation and Glycoproteins Research 1
    • Cancer Research and Treatments 2

Navin Gopaldass

16 papers receiving 408 citations

Peers

Navin Gopaldass
Comparison fields: 5 of 56
  • Cell Biology 237
  • Physiology 53
  • Endocrinology 42
  • Epidemiology 109
  • Molecular Biology 195
Replace Laura Cogli with:
Laura Cogli Italy
Aurélie Guého Switzerland
Jessica B. Blackburn United States
Yaya Lefkir France
Stefan Schoebel Germany
Tetyana Kudlyk United States
Agustín Alconada Spain
Kimberly K. Kajihara United States
Christopher H. Choy Canada
Eeva‐Liisa Punnonen Finland
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Citations per field
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Citations per year

Countries citing papers authored by Navin Gopaldass

Since Specialization
Citations

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

Fields of papers citing papers by Navin Gopaldass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Navin Gopaldass, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Navin Gopaldass Line = papers co-authored together Navin Gopaldass links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20250
2 20253
3 20241
4 202414
5 20237
6 20235
7 202224
8 201814
9 201759
10 20165
11 201671
12 201517
13 201368
14 201238
15 201137
16 201033
17 200815

About Navin Gopaldass

Navin Gopaldass is a scholar working on Physiology, Cell Biology and Biotechnology, having authored 17 papers that have together received 411 indexed citations. Recurring topics across this work include Cellular transport and secretion (14 papers), Lipid Membrane Structure and Behavior (7 papers), Autophagy in Disease and Therapy (4 papers), Calcium signaling and nucleotide metabolism (4 papers), Cellular Mechanics and Interactions (3 papers), Cancer Research and Treatments (2 papers), Lysosomal Storage Disorders Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (237 citations), Physiology (53 citations) and Endocrinology (42 citations). Navin Gopaldass has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Thierry Soldati, Andreas Mayer, Robert H. Insall, Jason King, Monica Hagedorn, Aurélien Roux, Cristina Bosmani, Bruno Fauvet, Aurélie Guého and Hilal A. Lashuel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

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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