John Thundyil

2.5k citations
21 papers · 2.1k · h-index 16

Impact in

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 9
    • Parkinson's Disease Mechanisms and Treatments 3
    • Barrier Structure and Function Studies 2
    • Autophagy in Disease and Therapy 3
    • Adipokines, Inflammation, and Metabolic Diseases 2

John Thundyil

21 papers receiving 2.1k citations

Peers

John Thundyil
Comparison fields: 5 of 109
  • Neurology 595
  • Biological Psychiatry 55
  • Developmental Neuroscience 75
  • Immunology 322
  • Endocrine and Autonomic Systems 96
Replace David Yang‐Wei Fann with:
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Xiaofan Jiang China
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John Thundyil relative to David Yang‐Wei Fann Singapore David Yang‐Wei Fann's profile →
Citations per field
00.5×1.5×2.1×
David Yang‐Wei Fann · 1×
Citations per year

Countries citing papers authored by John Thundyil

Since Specialization
Citations

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

Fields of papers citing papers by John Thundyil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011482
2 2013432
3 2009261
4 2011248
5 2012103
6 201293
7 201587
8 201176
9 201469
10 201351
11 201043
12 201242
13 201131
14 200926
15 201817
16 202116
17 201214
18 202213
19 201211
20 20226

About John Thundyil

John Thundyil is a scholar working on Neurology, Neurology, Epidemiology, Molecular Biology and Physiology, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Autophagy in Disease and Therapy (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), S100 Proteins and Annexins (2 papers) and Barrier Structure and Function Studies (2 papers). The work is most often cited by research in Neurology (595 citations), Biological Psychiatry (55 citations), Developmental Neuroscience (75 citations), Immunology (322 citations) and Endocrine and Autonomic Systems (96 citations). John Thundyil has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Thiruma Valavan Arumugam, Christopher Graeme Sobey, T. Woodruff, Stephen M. Taylor, Sung‐Chun Tang, Dale Pavlovski, Kah‐Leong Lim, Eitan Okun, Mathias Gelderblom and Tim Ullrich Magnus. Their work appears in journals such as Shock, PLoS ONE, NeuroMolecular Medicine, Journal of Neurochemistry and Molecular Neurodegeneration.

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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