Janne Tornberg

594 total citations
7 papers, 420 citations indexed

About

Janne Tornberg is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Janne Tornberg has authored 7 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in Janne Tornberg's work include Neuroscience and Neuropharmacology Research (5 papers), Ion channel regulation and function (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Janne Tornberg is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Ion channel regulation and function (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Janne Tornberg collaborates with scholars based in Finland, United States and Switzerland. Janne Tornberg's co-authors include Matti S. Airaksinen, Hong Li, Claudio Rivera, Kai Kaila, Harri Savilahti, Vootele Võikar, Heikki Rauvala, Stan Van Uum, Hannes E. Bülow and William F. Crowley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neurophysiology and Neuropsychopharmacology.

In The Last Decade

Janne Tornberg

7 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Janne Tornberg Finland	7	270	233	79	67	40	7	420
Ryo Maeda Japan	9	252 0.9×	98 0.4×	115 1.5×	31 0.5×	47 1.2×	13	450
Kumiko Suyama Japan	11	110 0.4×	148 0.6×	31 0.4×	46 0.7×	41 1.0×	17	324
Joseph F. Margiotta United States	21	802 3.0×	575 2.5×	36 0.5×	26 0.4×	35 0.9×	34	1.0k
Mary E. Morris Canada	13	320 1.2×	462 2.0×	35 0.4×	25 0.4×	160 4.0×	25	671
Milagros Méndez Mexico	15	205 0.8×	370 1.6×	15 0.2×	47 0.7×	36 0.9×	26	502
Irina Fedorova Russia	9	392 1.5×	363 1.6×	28 0.4×	30 0.4×	80 2.0×	15	592
J. Brian McCarthy United States	8	209 0.8×	252 1.1×	71 0.9×	29 0.4×	38 0.9×	8	451
Heather McKellar United States	7	291 1.1×	233 1.0×	91 1.2×	11 0.2×	84 2.1×	7	474
Kazuto Sakoori Japan	12	312 1.2×	334 1.4×	87 1.1×	32 0.5×	122 3.0×	18	513
Mariko Usui Japan	4	116 0.4×	218 0.9×	122 1.5×	75 1.1×	6 0.1×	5	449

Countries citing papers authored by Janne Tornberg

Since Specialization

Citations

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

Fields of papers citing papers by Janne Tornberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janne Tornberg

This figure shows the co-authorship network connecting the top 25 collaborators of Janne Tornberg. A scholar is included among the top collaborators of Janne Tornberg 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 Janne Tornberg. Janne Tornberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Tornberg, Janne, Gerasimos P. Sykiotis, Kimberly W. Keefe, et al.. (2011). Heparan sulfate 6-O-sulfotransferase 1 , a gene involved in extracellular sugar modifications, is mutated in patients with idiopathic hypogonadotrophic hypogonadism. Proceedings of the National Academy of Sciences. 108(28). 11524–11529. 119 indexed citations

Riekki, Ruusu, Ivan Pavlov, Janne Tornberg, et al.. (2008). Altered Synaptic Dynamics and Hippocampal Excitability but Normal Long-Term Plasticity in Mice Lacking Hyperpolarizing GABA_A Receptor-Mediated Inhibition in CA1 Pyramidal Neurons. Journal of Neurophysiology. 99(6). 3075–3089. 18 indexed citations

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

Tornberg, Janne, Vootele Võikar, Harri Savilahti, Heikki Rauvala, & Matti S. Airaksinen. (2005). Behavioural phenotypes of hypomorphic KCC2‐deficient mice. European Journal of Neuroscience. 21(5). 1327–1337. 94 indexed citations

Li, Hong, Janne Tornberg, Kai Kaila, Matti S. Airaksinen, & Claudio Rivera. (2002). Patterns of cation‐chloride cotransporter expression during embryonic rodent CNS development. European Journal of Neuroscience. 16(12). 2358–2370. 140 indexed citations

Eerikäinen, S., et al.. (2001). Construction of Gene-Targeting Vectors: a Rapid Mu in vitro DNA Transposition-Based Strategy Generating Null, Potentially Hypomorphic, and Conditional Alleles. Transgenic Research. 10(1). 69–80. 27 indexed citations

Sallinen, Riitta, et al.. (2001). Chromosomal localization of SLC12A5/Slc12a5, the human and mouse genes for the neuron-specific K+-Cl– cotransporter (KCC2) defines a new region of conserved homology. Cytogenetic and Genome Research. 94(1-2). 67–70. 9 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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