Simon Kaja

85 papers receiving 2.4k citations

Simon Kaja's Hit Papers

A Cacna1a Knockin Migraine Mouse Model with Increased Susceptibility to Cortical Spreading Depression 2004 · 517 citations
5170+7+14Years since publication100200300400500

Peers

Simon Kaja
Comparison fields: 5 of 135
  • Psychiatry and Mental health 614
  • Neurology 295
  • Endocrine and Autonomic Systems 232
  • Cellular and Molecular Neuroscience 586
  • Ophthalmology 267
Replace Arabinda Das with:
Arabinda Das United States
Francesca Biagioni Italy
Sangwon F. Kim United States
Carla L. Busceti Italy
Alberta Leon Italy
Kunio Ishii Japan
M. Zameel Cader United Kingdom
Marcello D’Amelio Italy
Claudio Pietra Italy
Dianne M. Perez United States
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Citations per field
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Arabinda Das · 1×
Citations per year

Countries citing papers authored by Simon Kaja

Since Specialization
Citations

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

Fields of papers citing papers by Simon Kaja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Cacna1a Knockin Migraine Mouse Model with Increased Susceptibility to Cortical Spreading Depression
Hit paper breakdown →
2004517
2 2009181
3 2015160
4 2017119
5 201785
6 201276
7 200374
8 201566
9 201463
10 201960
11 201455
12 200752
13 201049
14 201646
15 200943
16 200542
17 200741
18 201741
19 201037
20 201137

About Simon Kaja

Simon Kaja is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ophthalmology, Cell Biology and Neurology, having authored 88 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Ion channel regulation and function (14 papers), Retinal Diseases and Treatments (13 papers), Glaucoma and retinal disorders (10 papers), Retinal Development and Disorders (9 papers), Ocular Surface and Contact Lens (8 papers), Genetic Neurodegenerative Diseases (8 papers) and Alzheimer's disease research and treatments (7 papers). The work is most often cited by research in Psychiatry and Mental health (614 citations), Neurology (295 citations), Endocrine and Autonomic Systems (232 citations), Cellular and Molecular Neuroscience (586 citations) and Ophthalmology (267 citations). Simon Kaja has collaborated with scholars based in United States, Netherlands and Finland. Frequent co-authors include Peter Koulen, Arn M. J. M. van den Maagdenberg, Jaap J. Plomp, Rune R. Frants, Rob C. G. van de Ven, Michel D. Ferrari, Andrew J. Payne, Ludo A. M. Broos, Tommaso Pizzorusso and Daniela Pietrobon. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Neuroscience, Journal of Ocular Pharmacology and Therapeutics, Scientific Reports and Molecules.

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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