Kim Larsson

1.1k total citations
20 papers, 862 citations indexed

About

Kim Larsson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kim Larsson has authored 20 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kim Larsson's work include Ion channel regulation and function (5 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Circadian rhythm and melatonin (3 papers). Kim Larsson is often cited by papers focused on Ion channel regulation and function (5 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Circadian rhythm and melatonin (3 papers). Kim Larsson collaborates with scholars based in Finland, Sweden and Denmark. Kim Larsson's co-authors include Karl E.O. Åkerman, Katriina Aalto‐Setälä, Eero Ċastrén, Lauri Louhivuori, Geneviève Bart, Mari Pekkanen-Mattila, Jari Hyttinen, Anker Jón Hansen, Peter Stoilov and Annakaisa Haapasalo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Kim Larsson

19 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim Larsson Finland 15 432 342 180 171 122 20 862
Manja Schubert Germany 17 487 1.1× 659 1.9× 119 0.7× 281 1.6× 113 0.9× 23 1.2k
Evanthia Nanou United States 16 887 2.1× 771 2.3× 79 0.4× 190 1.1× 101 0.8× 24 1.4k
Catharina E.E.M. Van der Zee Netherlands 19 510 1.2× 412 1.2× 31 0.2× 102 0.6× 129 1.1× 27 1.1k
Qiaojie Xiong United States 18 567 1.3× 500 1.5× 262 1.5× 304 1.8× 63 0.5× 30 1.0k
Annalisa Zuccotti Germany 17 400 0.9× 316 0.9× 72 0.4× 286 1.7× 40 0.3× 20 904
Patrick Meuth Germany 20 604 1.4× 665 1.9× 96 0.5× 255 1.5× 27 0.2× 30 1.1k
Hajime Sawai Japan 20 639 1.5× 895 2.6× 40 0.2× 263 1.5× 40 0.3× 45 1.4k
Nóra Szilágyi Hungary 15 280 0.6× 578 1.7× 41 0.2× 450 2.6× 103 0.8× 33 1.2k
Chen Gu United States 23 626 1.4× 453 1.3× 62 0.3× 68 0.4× 83 0.7× 37 1.2k
Nicolas Liaudet Switzerland 10 494 1.1× 954 2.8× 25 0.1× 380 2.2× 48 0.4× 22 1.6k

Countries citing papers authored by Kim Larsson

Since Specialization
Citations

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

Fields of papers citing papers by Kim Larsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Larsson

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Larsson. A scholar is included among the top collaborators of Kim Larsson 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 Kim Larsson. Kim Larsson 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.
Larsson, Kim, et al.. (2019). The relative age effect on self-esteem in the academic setting. KTH Publication Database DiVA (KTH Royal Institute of Technology).
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Ojala, Marisa, Risto-Pekka Pölönen, Kristiina Rajala, et al.. (2015). Mutation‐Specific Phenotypes in hiPSC‐Derived Cardiomyocytes Carrying Either Myosin‐Binding Protein C Or α‐Tropomyosin Mutation for Hypertrophic Cardiomyopathy. Stem Cells International. 2016(1). 1684792–1684792. 74 indexed citations
5.
Ahola, Antti, Kim Larsson, Kirsi Penttinen, et al.. (2015). Distinct electrophysiological and mechanical beating phenotypes of long QT syndrome type 1-specific cardiomyocytes carrying different mutations. IJC Heart & Vasculature. 8. 19–31. 32 indexed citations
6.
Ahola, Antti, et al.. (2014). Video image-based analysis of single human induced pluripotent stem cell derived cardiomyocyte beating dynamics using digital image correlation. BioMedical Engineering OnLine. 13(1). 39–39. 69 indexed citations
7.
Ojala, Marisa, et al.. (2014). P586Modeling hypertrophic cardiomyopathy with human induced pluripotent stem cells. Cardiovascular Research. 103(suppl 1). S105.3–S105. 2 indexed citations
8.
Juuti‐Uusitalo, Kati, et al.. (2013). Intercellular Ca2+ wave propagation in human retinal pigment epithelium cells induced by mechanical stimulation. Experimental Eye Research. 108. 129–139. 21 indexed citations
9.
Paavola, Jere, Anna Lahti, Kim Larsson, et al.. (2012). Cell Model of Catecholaminergic Polymorphic Ventricular Tachycardia Reveals Early and Delayed Afterdepolarizations. PLoS ONE. 7(9). e44660–e44660. 100 indexed citations
10.
Niittykoski, Minna, Giedrius Kalesnykas, Kim Larsson, et al.. (2010). Altered Calcium Signaling in an Experimental Model of Glaucoma. Investigative Ophthalmology & Visual Science. 51(12). 6387–6387. 17 indexed citations
11.
Louhivuori, Lauri, Geneviève Bart, Kim Larsson, et al.. (2009). Differentiation dependent expression of TRPA1 and TRPM8 channels in IMR‐32 human neuroblastoma cells. Journal of Cellular Physiology. 221(1). 67–74. 28 indexed citations
12.
Näsman, Johnny, et al.. (2006). The Orexin OX1Receptor Regulates Ca2+Entry via Diacylglycerol-Activated Channels in Differentiated Neuroblastoma Cells. Journal of Neuroscience. 26(42). 10658–10666. 52 indexed citations
13.
Castrén, Maija L., Topi A. Tervonen, Virve Kärkkäinen, et al.. (2005). Altered differentiation of neural stem cells in fragile X syndrome. Proceedings of the National Academy of Sciences. 102(49). 17834–17839. 143 indexed citations
14.
Åkerman, Karl E.O., et al.. (2004). Ca2+-dependent potentiation of muscarinic receptor-mediated Ca2+ elevation. Cell Calcium. 36(5). 397–408. 5 indexed citations
15.
Larsson, Kim, et al.. (2004). Orexin-A-induced Ca2+ Entry. Journal of Biological Chemistry. 280(3). 1771–1781. 66 indexed citations
16.
Larsson, Kim, et al.. (2003). The STC-1 cells express functional orexin-A receptors coupled to CCK release. Biochemical and Biophysical Research Communications. 309(1). 209–216. 26 indexed citations
17.
Larsson, Kim, Anker Jón Hansen, & Steen Dissing. (2002). The human SH‐SY5Y neuroblastoma cell‐line expresses a functional P2X7 purinoceptor that modulates voltage‐dependent Ca2+ channel function. Journal of Neurochemistry. 83(2). 285–298. 32 indexed citations
18.
Haapasalo, Annakaisa, Kim Larsson, Karl E.O. Åkerman, et al.. (2002). Regulation of TRKB Surface Expression by Brain-derived Neurotrophic Factor and Truncated TRKB Isoforms. Journal of Biological Chemistry. 277(45). 43160–43167. 138 indexed citations
19.
Larsson, Kim, Uffe Bang Olsen, & Anker Jón Hansen. (2000). Nociceptin is a potent inhibitor of N-type Ca2+ channels in rat sympathetic ganglion neurons. Neuroscience Letters. 296(2-3). 121–124. 26 indexed citations
20.
Ahlenius, S. & Kim Larsson. (2000). Stimulation of Ejaculatory Behaviour by the 5-HT<SUB>1B</SUB> Receptor Antagonist Isamoltane in Citalopram-pretreated Male Rats. Pharmacy and Pharmacology Communications. 6(7). 317–320. 2 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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