Per Uhlén

6.3k total citations
92 papers, 4.1k citations indexed

About

Per Uhlén is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Per Uhlén has authored 92 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 28 papers in Cellular and Molecular Neuroscience and 14 papers in Developmental Neuroscience. Recurrent topics in Per Uhlén's work include Ion channel regulation and function (18 papers), Neurogenesis and neuroplasticity mechanisms (12 papers) and Neuroscience and Neuropharmacology Research (10 papers). Per Uhlén is often cited by papers focused on Ion channel regulation and function (18 papers), Neurogenesis and neuroplasticity mechanisms (12 papers) and Neuroscience and Neuropharmacology Research (10 papers). Per Uhlén collaborates with scholars based in Sweden, United States and Japan. Per Uhlén's co-authors include Anita Aperia, Erik Smedler, Hjalmar Brismar, Oleg Aizman, Nicolas Fritz, Mark Lal, Manuel Estrada, Seth Malmersjö, Barbara E. Ehrlich and Hans Forssberg and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Per Uhlén

91 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Per Uhlén Sweden 36 2.5k 916 539 288 263 92 4.1k
Mathias Hafner Germany 33 2.0k 0.8× 866 0.9× 348 0.6× 429 1.5× 274 1.0× 124 3.9k
Kazuo Emoto Japan 32 2.3k 0.9× 972 1.1× 1.3k 2.3× 446 1.5× 295 1.1× 67 3.9k
Diane E. Merry United States 29 3.1k 1.2× 1.8k 2.0× 324 0.6× 252 0.9× 385 1.5× 60 4.5k
Vivaldo Moura‐Neto Brazil 47 2.6k 1.1× 768 0.8× 582 1.1× 499 1.7× 261 1.0× 162 5.7k
Hong Yang China 33 1.6k 0.7× 858 0.9× 338 0.6× 423 1.5× 121 0.5× 111 3.7k
Naoki Hisamoto Japan 33 2.8k 1.1× 582 0.6× 864 1.6× 313 1.1× 192 0.7× 89 4.9k
Kalina Szteyn Germany 17 2.3k 0.9× 795 0.9× 340 0.6× 318 1.1× 314 1.2× 23 4.2k
Yasuki Ishizaki Japan 31 2.7k 1.1× 1.1k 1.2× 531 1.0× 429 1.5× 194 0.7× 83 5.0k
Satoshi Goto Japan 33 2.4k 1.0× 1.4k 1.5× 765 1.4× 364 1.3× 270 1.0× 157 4.3k

Countries citing papers authored by Per Uhlén

Since Specialization
Citations

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

Fields of papers citing papers by Per Uhlén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Per Uhlén

This figure shows the co-authorship network connecting the top 25 collaborators of Per Uhlén. A scholar is included among the top collaborators of Per Uhlén 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 Per Uhlén. Per Uhlén 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.
Eidhof, Ilse, et al.. (2025). Defined culture conditions robustly maintain human stem cell pluripotency, highlighting a role for Ca2+ signaling. Communications Biology. 8(1). 255–255. 1 indexed citations
2.
Lee, Matthew D., Charlotte Buckley, Xun Zhang, et al.. (2025). Endothelial Cell Organization Drives Distinct Agonist‐Specific Ca 2+ Dynamics in Arteries and Veins. Acta Physiologica. 241(12). e70132–e70132.
3.
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Coleman, Jonathan, Susanne Gabrielsson, Jonna Skov Madsen, et al.. (2023). Consultation on UTUC II Stockholm 2022: diagnostic and prognostic methods—what’s around the corner?. World Journal of Urology. 41(12). 3405–3411. 3 indexed citations
5.
Zhang, Songbai, Ayako Miyakawa, Malin Wickström, et al.. (2022). GIT1 protects against breast cancer growth through negative regulation of Notch. Nature Communications. 13(1). 1537–1537. 11 indexed citations
6.
Raciti, Marilena, Bertrand Joseph, Per Uhlén, et al.. (2022). Glyphosate‐based herbicide induces long‐lasting impairment in neuronal and glial differentiation. Environmental Toxicology. 37(8). 2044–2057. 5 indexed citations
7.
Lee, Matthew D., Charlotte Buckley, Xun Zhang, et al.. (2022). Small-world connectivity dictates collective endothelial cell signaling. Proceedings of the National Academy of Sciences. 119(18). e2118927119–e2118927119. 18 indexed citations
8.
Smedler, Erik, Lauri Louhivuori, Roman A. Romanov, et al.. (2022). Disrupted Cacna1c gene expression perturbs spontaneous Ca 2+ activity causing abnormal brain development and increased anxiety. Proceedings of the National Academy of Sciences. 119(7). 15 indexed citations
9.
Tanaka, Nobuyuki, et al.. (2019). Volumetric imaging: a potential tool to stage upper tract urothelial carcinoma. World Journal of Urology. 37(11). 2297–2302. 2 indexed citations
10.
Ibarra, Cristián, Marie Karlsson, Simone Codeluppi, et al.. (2018). BCG‐induced cytokine release in bladder cancer cells is regulated by Ca2+ signaling. Molecular Oncology. 13(2). 202–211. 12 indexed citations
11.
Benedikz, Eiríkur, et al.. (2017). Expression of Pluripotency Markers in Nonpluripotent Human Neural Stem and Progenitor Cells. Stem Cells and Development. 26(12). 876–887. 8 indexed citations
12.
Louhivuori, Lauri, Pauli M. Turunen, Verna Louhivuori, et al.. (2017). Regulation of radial glial process growth by glutamate via mGluR5/TRPC3 and neuregulin/ErbB4. Glia. 66(1). 94–107. 11 indexed citations
13.
Kanatani, Sachie, Jonas M. Fuks, Einar B. Ólafsson, et al.. (2017). Voltage-dependent calcium channel signaling mediates GABAA receptor-induced migratory activation of dendritic cells infected by Toxoplasma gondii. PLoS Pathogens. 13(12). e1006739–e1006739. 45 indexed citations
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Li, Shuijie, Olga Surova, Erik Smedler, et al.. (2016). The 1p36 Tumor Suppressor KIF 1Bβ Is Required for Calcineurin Activation, Controlling Mitochondrial Fission and Apoptosis. Developmental Cell. 36(2). 164–178. 25 indexed citations
16.
Ibarra, Cristián, José M. Vicencio, Manuel Estrada, et al.. (2012). Local Control of Nuclear Calcium Signaling in Cardiac Myocytes by Perinuclear Microdomains of Sarcolemmal Insulin-Like Growth Factor 1 Receptors. Circulation Research. 112(2). 236–245. 67 indexed citations
17.
Tofighi, Roshan, et al.. (2011). Non–Dioxin-like Polychlorinated Biphenyls Interfere with Neuronal Differentiation of Embryonic Neural Stem Cells. Toxicological Sciences. 124(1). 192–201. 26 indexed citations
18.
Desfrère, Luc, Marie Karlsson, Hiromi Hiyoshi, et al.. (2009). Na,K-ATPase signal transduction triggers CREB activation and dendritic growth. Proceedings of the National Academy of Sciences. 106(7). 2212–2217. 57 indexed citations
19.
Malmersjö, Seth, Isabel Liste, Oleg Dyachok, et al.. (2009). Ca 2+ and cAMP Signaling in Human Embryonic Stem Cell–Derived Dopamine Neurons. Stem Cells and Development. 19(9). 1355–1364. 30 indexed citations
20.
Altamirano, Francisco, César Oyarce, Patricio Silva, et al.. (2009). Testosterone induces cardiomyocyte hypertrophy through mammalian target of rapamycin complex 1 pathway. Journal of Endocrinology. 202(2). 299–307. 91 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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