Ari Koivisto

45 papers receiving 1.9k citations

Ari Koivisto's Hit Papers

Advances in TRP channel drug discovery: from target validation to clinical studies 2021 · 373 citations
3730+5+10Years since publication100200300

Peers

Ari Koivisto
Comparison fields: 5 of 109
  • Sensory Systems 860
  • Cellular and Molecular Neuroscience 512
  • Physiology 672
  • Biochemistry 138
  • Complementary and alternative medicine 155
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Torben R. Neelands United States
Suk Hyo Suh South Korea
Xuming Zhang United Kingdom
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Kunitoshi Uchida Japan
Nathaniel A. Jeske United States
Tomohiro Higashi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ari Koivisto

Since Specialization
Citations

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

Fields of papers citing papers by Ari Koivisto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Advances in TRP channel drug discovery: from target validation to clinical studies
Hit paper breakdown →
2021373
2
Model for long QT syndrome type 2 using human iPS cells demonstrates arrhythmogenic characteristics in cell culture
Hit paper breakdown →
2011242
3 2009146
4 1997116
5 2011104
6 201892
7 201183
8 200980
9 201380
10 199960
11 201255
12 201054
13 201742
14 201336
15 201132
16 201532
17 199531
18 201031
19 200930
20 202427

About Ari Koivisto

Ari Koivisto is a scholar working on Sensory Systems, Physiology, Cellular and Molecular Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ion Channels and Receptors (28 papers), Pain Mechanisms and Treatments (19 papers), Ion channel regulation and function (7 papers), Phytochemicals and Antioxidant Activities (6 papers), Neurobiology and Insect Physiology Research (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Sensory Systems (860 citations), Cellular and Molecular Neuroscience (512 citations), Physiology (672 citations), Biochemistry (138 citations) and Complementary and alternative medicine (155 citations). Ari Koivisto has collaborated with scholars based in Finland, United Kingdom and Sweden. Frequent co-authors include Antti Pertovaara, A Szállaśi, Rachelle Gaudet, Maria G. Belvisi, Hong Wei, Hugh Chapman, Marja Saarnilehto, Jan Nedergaard, Katja Kuokkanen and Minna M. Hämäläinen. Their work appears in journals such as European Journal of Pharmacology, Anesthesiology, International Journal of Molecular Sciences, Basic & Clinical Pharmacology & Toxicology and Pharmacological Reports.

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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