Jan Tønnesen

2.5k total citations
39 papers, 1.7k citations indexed

About

Jan Tønnesen is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Structural Biology. According to data from OpenAlex, Jan Tønnesen has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 11 papers in Biophysics and 8 papers in Structural Biology. Recurrent topics in Jan Tønnesen's work include Advanced Fluorescence Microscopy Techniques (11 papers), Neuroscience and Neuropharmacology Research (9 papers) and Photoreceptor and optogenetics research (8 papers). Jan Tønnesen is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (11 papers), Neuroscience and Neuropharmacology Research (9 papers) and Photoreceptor and optogenetics research (8 papers). Jan Tønnesen collaborates with scholars based in Spain, France and Sweden. Jan Tønnesen's co-authors include U. Valentin Nägerl, Mérab Kokaia, Balázs Rózsa, Gergely Katona, V. V. G. Krishna Inavalli, Andreas T. Sørensen, Cecilia Lundberg, Karl Deisseroth, Federico N. Soria and Olle Lindvall and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Jan Tønnesen

38 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Tønnesen Spain 21 973 506 408 295 195 39 1.7k
Harold D. MacGillavry Netherlands 21 1.3k 1.3× 1.4k 2.8× 313 0.8× 259 0.9× 154 0.8× 40 2.6k
Christophe Leterrier France 32 1.1k 1.2× 1.3k 2.7× 847 2.1× 138 0.5× 330 1.7× 65 3.3k
Gergely Katona Hungary 18 1.3k 1.3× 549 1.1× 397 1.0× 703 2.4× 262 1.3× 36 2.2k
Antoine G. Godin Canada 24 793 0.8× 862 1.7× 287 0.7× 102 0.3× 196 1.0× 46 1.9k
Hannah L. Bernstein United States 8 1.2k 1.2× 936 1.8× 716 1.8× 658 2.2× 454 2.3× 9 2.7k
Tonghui Xu China 21 986 1.0× 604 1.2× 466 1.1× 763 2.6× 339 1.7× 41 2.5k
Ángel Merchán-Pérez Spain 27 1.2k 1.2× 483 1.0× 147 0.4× 919 3.1× 77 0.4× 57 2.0k
Marina Mikhaylova Germany 29 1.2k 1.2× 1.7k 3.3× 227 0.6× 151 0.5× 57 0.3× 71 2.8k
Jennifer B. Treweek United States 13 494 0.5× 621 1.2× 535 1.3× 263 0.9× 270 1.4× 19 1.6k
Anthony J. Martorell United States 8 966 1.0× 1.4k 2.7× 310 0.8× 799 2.7× 187 1.0× 11 3.6k

Countries citing papers authored by Jan Tønnesen

Since Specialization
Citations

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

Fields of papers citing papers by Jan Tønnesen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Tønnesen

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Tønnesen. A scholar is included among the top collaborators of Jan Tønnesen 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 Jan Tønnesen. Jan Tønnesen 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.
Inavalli, V. V. G. Krishna, et al.. (2024). Fluorescence microscopy shadow imaging for neuroscience. Frontiers in Cellular Neuroscience. 18. 1330100–1330100. 2 indexed citations
2.
Ballesteros-Peña, Sendoa, et al.. (2022). Identification of potentially irritating intravenous medications. PubMed. 33(3). 132–140. 5 indexed citations
3.
Tønnesen, Jan, Sabina Hrabětová, & Federico N. Soria. (2022). Local diffusion in the extracellular space of the brain. Neurobiology of Disease. 177. 105981–105981. 27 indexed citations
4.
Soria, Federico N., et al.. (2021). Super-resolution STED microscopy in live brain tissue. Neurobiology of Disease. 156. 105420–105420. 36 indexed citations
5.
Valencia, Miguel, Rocío Sánchez‐Carpintero, Jan Tønnesen, et al.. (2021). Transfer of SCN1A to the brain of adolescent mouse model of Dravet syndrome improves epileptic, motor, and behavioral manifestations. Molecular Therapy — Nucleic Acids. 25. 585–602. 28 indexed citations
6.
Llorente, Javier, et al.. (2020). Neurobiological Mechanisms of Autism Spectrum Disorder and Epilepsy, Insights from Animal Models. Neuroscience. 445. 69–82. 24 indexed citations
7.
Levet, Florian, Jan Tønnesen, U. Valentin Nägerl, & Jean‐Baptiste Sibarita. (2020). SpineJ: A software tool for quantitative analysis of nanoscale spine morphology. Methods. 174. 49–55. 30 indexed citations
8.
Soria, Federico N., Cristina Miguélez, Olga Peñagarikano, & Jan Tønnesen. (2020). Current Techniques for Investigating the Brain Extracellular Space. Frontiers in Neuroscience. 14. 570750–570750. 34 indexed citations
9.
Inavalli, V. V. G. Krishna, Martin O. Lenz, Corey Butler, et al.. (2019). A super-resolution platform for correlative live single-molecule imaging and STED microscopy. Nature Methods. 16(12). 1263–1268. 65 indexed citations
10.
Lenz, Martin O. & Jan Tønnesen. (2019). Considerations for Imaging and Analyzing Neural Structures by STED Microscopy. Methods in molecular biology. 1941. 29–46. 5 indexed citations
11.
Tønnesen, Jan, Andreas Vlachos, Thomas Kuner, et al.. (2016). Spines slow down dendritic chloride diffusion and affect short-term ionic plasticity of GABAergic inhibition. Scientific Reports. 6(1). 23196–23196. 22 indexed citations
12.
Chéreau, Ronan, Jan Tønnesen, & U. Valentin Nägerl. (2015). STED microscopy for nanoscale imaging in living brain slices. Methods. 88. 57–66. 34 indexed citations
13.
Tønnesen, Jan, Gergely Katona, Balázs Rózsa, & U. Valentin Nägerl. (2014). Spine neck plasticity regulates compartmentalization of synapses. Nature Neuroscience. 17(5). 678–685. 308 indexed citations
14.
Tønnesen, Jan. (2013). Optogenetic cell control in experimental models of neurological disorders. Behavioural Brain Research. 255. 35–43. 19 indexed citations
15.
Tønnesen, Jan & Mérab Kokaia. (2012). Electrophysiological investigations of synaptic connectivity between host and graft neurons. Progress in brain research. 200. 97–112. 6 indexed citations
16.
Tønnesen, Jan & U. Valentin Nägerl. (2012). Two-Color STED Imaging of Synapses in Living Brain Slices. Methods in molecular biology. 950. 65–80. 9 indexed citations
17.
Tønnesen, Jan & U. Valentin Nägerl. (2012). Superresolution imaging for neuroscience. Experimental Neurology. 242. 33–40. 65 indexed citations
18.
Tønnesen, Jan, Joanna Hansen, David Sabourin, et al.. (2011). Long-term brain slice culturing in a microfluidic platform. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2 indexed citations
19.
Tønnesen, Jan, et al.. (2010). Functional properties of the human ventral mesencephalic neural stem cell line hVM1. Experimental Neurology. 223(2). 653–656. 12 indexed citations
20.
Tønnesen, Jan, et al.. (2004). Cerebral Pressure Autoregulation and Vasoreactivity in the Newborn Rat. Pediatric Research. 57(2). 294–298. 32 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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