Gopal Thinakaran

15.3k citations
121 papers · 12.1k indexed · 4 hit papers · h-index 57

Gopal Thinakaran

120 papers receiving 11.9k citations

Hit Papers

Trafficking and Proteolytic Processing ...8091996202620062016250500750

Peers

Gopal Thinakaran
Comparison fields: 5 of 127
  • Physiology 8.9k
  • Cell Biology 3.0k
  • Cellular and Molecular Neuroscience 2.5k
  • Pharmacology 2.2k
  • Biological Psychiatry 298
Replace Philip C. Wong with:
Philip C. Wong United States
Frédéric Checler France
Christopher B. Eckman United States
Hilda H. Slunt United States
Paul M. Mathews United States
Jada Lewis United States
Diane P. Hanger United Kingdom
Beth L. Ostaszewski United States
Nobuhisa Iwata Japan
Martin Citron United States
Gopal Thinakaran relative to Philip C. Wong United States Philip C. Wong's profile →
Citations per field
00.5×1.5×
Philip C. Wong · 1×
Citations per year

Countries citing papers authored by Gopal Thinakaran

Since Specialization
Citations

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

Fields of papers citing papers by Gopal Thinakaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Gopal Thinakaran, 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 Gopal Thinakaran Line = papers co-authored together Gopal Thinakaran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202320
2 20197
3 201687
4 2016137
5 201572
6 2014159
7 201360
8 201240
9 201010
10 2010222
11 2009138
12 2008129
13 200862
14 20083
15 200054
16 199936
17 199866
18 199832
19 1997275
20 199610

About Gopal Thinakaran

Gopal Thinakaran is a scholar working on Physiology, Cell Biology, Cellular and Molecular Neuroscience, Neurology and Molecular Biology, having authored 121 papers that have together received 12.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (100 papers), Cellular transport and secretion (36 papers), Neuroscience and Neuropharmacology Research (18 papers), Cholinesterase and Neurodegenerative Diseases (15 papers), Endoplasmic Reticulum Stress and Disease (14 papers), Prion Diseases and Protein Misfolding (13 papers), Lipid Membrane Structure and Behavior (13 papers) and Drug Transport and Resistance Mechanisms (12 papers). The work is most often cited by research in Physiology (8.9k citations), Cell Biology (3.0k citations), Cellular and Molecular Neuroscience (2.5k citations), Pharmacology (2.2k citations) and Biological Psychiatry (298 citations). Gopal Thinakaran has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Sangram S. Sisodia, Edward H. Koo, Kulandaivelu S. Vetrivel, Donald L. Price, Hilda H. Slunt, Huaxi Xu, Christian Haass, Christoph Kaether, David Borchelt and Takeshi Iwatsubo. Their work appears in journals such as Journal of Biological Chemistry, Molecular Neurodegeneration, Journal of Neuroscience, Proceedings of the National Academy of Sciences and Neurobiology of Disease.

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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