Tomi Taira

4.6k total citations
95 papers, 3.4k citations indexed

About

Tomi Taira is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Tomi Taira has authored 95 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cellular and Molecular Neuroscience, 46 papers in Cognitive Neuroscience and 33 papers in Molecular Biology. Recurrent topics in Tomi Taira's work include Neuroscience and Neuropharmacology Research (66 papers), Neural dynamics and brain function (22 papers) and Memory and Neural Mechanisms (19 papers). Tomi Taira is often cited by papers focused on Neuroscience and Neuropharmacology Research (66 papers), Neural dynamics and brain function (22 papers) and Memory and Neural Mechanisms (19 papers). Tomi Taira collaborates with scholars based in Finland, United States and United Kingdom. Tomi Taira's co-authors include Sari E. Lauri, Kai Kaila, Karri Lämsä, Heikki Rauvala, Juha Voipio, Sergei Smirnov, Mikael Segerstråle, Aino Vesikansa, Ivan Pavlov and Graham L. Collingridge and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Tomi Taira

95 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tomi Taira Finland 35 2.4k 1.5k 1.1k 435 325 95 3.4k
Haruyuki Kamiya Japan 25 2.8k 1.1× 1.6k 1.1× 912 0.8× 408 0.9× 300 0.9× 54 3.5k
Jean Christophe Poncer France 31 2.9k 1.2× 1.9k 1.3× 996 0.9× 313 0.7× 599 1.8× 47 3.7k
Igor Medina France 31 2.4k 1.0× 2.0k 1.3× 581 0.5× 254 0.6× 334 1.0× 59 3.5k
Viktor Kharazia United States 36 3.0k 1.2× 1.9k 1.3× 895 0.8× 497 1.1× 459 1.4× 61 4.4k
Miwako Yamasaki Japan 36 2.8k 1.1× 1.8k 1.2× 1.1k 1.0× 358 0.8× 597 1.8× 94 4.3k
Vivien Chevaleyre France 29 3.1k 1.3× 1.3k 0.9× 1.6k 1.5× 261 0.6× 321 1.0× 44 4.3k
Sabina Berretta United States 37 2.2k 0.9× 1.3k 0.9× 982 0.9× 694 1.6× 458 1.4× 74 4.1k
Ákos Kulik Germany 32 3.9k 1.6× 2.8k 1.9× 1.1k 1.1× 498 1.1× 485 1.5× 66 5.0k
Dane M. Chetkovich United States 32 2.7k 1.1× 2.1k 1.4× 651 0.6× 436 1.0× 353 1.1× 59 3.9k
Hee‐Sup Shin South Korea 36 3.0k 1.2× 2.8k 1.9× 982 0.9× 293 0.7× 316 1.0× 59 4.8k

Countries citing papers authored by Tomi Taira

Since Specialization
Citations

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

Fields of papers citing papers by Tomi Taira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomi Taira

This figure shows the co-authorship network connecting the top 25 collaborators of Tomi Taira. A scholar is included among the top collaborators of Tomi Taira based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomi Taira. Tomi Taira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kukko‐Lukjanov, Tiina‐Kaisa, et al.. (2023). Progressive development of synchronous activity in the hippocampal neuronal network is modulated by GluK1 kainate receptors. Neuropharmacology. 239. 109671–109671. 2 indexed citations
2.
Winkel, Frederike, Vootele Võikar, Ramón Guirado, et al.. (2023). Activation of TrkB in Parvalbumin interneurons is required for the promotion of reversal learning in spatial and fear memory by antidepressants. Neuropsychopharmacology. 48(7). 1021–1030. 10 indexed citations
3.
Molchanova, Svetlana M., Nadine Huber, Sanna‐Kaisa Herukka, et al.. (2022). Neurofilament Light Regulates Axon Caliber, Synaptic Activity, and Organelle Trafficking in Cultured Human Motor Neurons. Frontiers in Cell and Developmental Biology. 9. 820105–820105. 33 indexed citations
4.
5.
Winkel, Frederike, Maria Ryazantseva, Anna Steinzeig, et al.. (2021). Pharmacological and optical activation of TrkB in Parvalbumin interneurons regulate intrinsic states to orchestrate cortical plasticity. Molecular Psychiatry. 26(12). 7247–7256. 34 indexed citations
6.
Orav, Ester, et al.. (2017). NETO1 Guides Development of Glutamatergic Connectivity in the Hippocampus by Regulating Axonal Kainate Receptors. eNeuro. 4(3). ENEURO.0048–17.2017. 25 indexed citations
7.
Clarke, Vernon R. J., et al.. (2014). Activity-Dependent Upregulation of Presynaptic Kainate Receptors at Immature CA3–CA1 Synapses. Journal of Neuroscience. 34(50). 16902–16916. 13 indexed citations
8.
Vesikansa, Aino, Juha Kuja‐Panula, Svetlana M. Molchanova, et al.. (2012). Expression of GluK1c underlies the developmental switch in presynaptic kainate receptor function. Scientific Reports. 2(1). 310–310. 35 indexed citations
9.
Lauri, Sari E. & Tomi Taira. (2011). Role of Kainate Receptors in Network Activity during Development. Advances in experimental medicine and biology. 717. 81–91. 12 indexed citations
10.
Segerstråle, Mikael, Frédéric Lanore, Petteri Piepponen, et al.. (2010). High Firing Rate of Neonatal Hippocampal Interneurons Is Caused by Attenuation of Afterhyperpolarizing Potassium Currents by Tonically Active Kainate Receptors. Journal of Neuroscience. 30(19). 6507–6514. 36 indexed citations
11.
Vesikansa, Aino, et al.. (2007). Activation of kainate receptors controls the number of functional glutamatergic synapses in the area CA1 of rat hippocampus. The Journal of Physiology. 583(1). 145–157. 36 indexed citations
12.
Malkki, Hemi, et al.. (2007). Effects of the kainate receptor agonist ATPA on glutamatergic synaptic transmission and plasticity during early postnatal development. Neuropharmacology. 52(6). 1354–1365. 32 indexed citations
13.
Pavlov, Ivan, Heikki Rauvala, & Tomi Taira. (2006). Enhanced hippocampal GABAergic inhibition in mice overexpressing heparin-binding growth-associated molecule. Neuroscience. 139(2). 505–511. 19 indexed citations
14.
Lauri, Sari E., Aino Vesikansa, Mikael Segerstråle, et al.. (2006). Functional Maturation of CA1 Synapses Involves Activity-Dependent Loss of Tonic Kainate Receptor-Mediated Inhibition of Glutamate Release. Neuron. 50(3). 415–429. 113 indexed citations
15.
Tornberg, Janne, Mikael Segerstråle, Natalia Kulesskaya, et al.. (2006). KCC2-Deficient Mice Show Reduced Sensitivity to Diazepam, but Normal Alcohol-Induced Motor Impairment, Gaboxadol-Induced Sedation, and Neurosteroid-Induced Hypnosis. Neuropsychopharmacology. 32(4). 911–918. 13 indexed citations
16.
Maingret, François, Sari E. Lauri, Tomi Taira, & John Isaac. (2005). Profound regulation of neonatal CA1 rat hippocampal GABAergic transmission by functionally distinct kainate receptor populations. The Journal of Physiology. 567(1). 131–142. 46 indexed citations
17.
Lahtinen, Hannele, et al.. (2002). Postnatal Development of Rat Hippocampal Gamma Rhythm In Vivo. Journal of Neurophysiology. 88(3). 1469–1474. 62 indexed citations
18.
Palva, J. Matias, Karri Lämsä, Sari E. Lauri, et al.. (2000). Fast network oscillations in the newborn rat hippocampus in vitro.. PubMed. 20(3). 1170–8. 65 indexed citations
19.
20.
Kaila, Kai, Pekka Paalasmaa, Tomi Taira, & Juha Voipio. (1992). pH transients due to monosynaptic activation of GABAA receptors in rat hippocampal slices. Neuroreport. 3(1). 105–108. 87 indexed citations

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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