Pertti Panula

21.0k total citations · 4 hit papers
344 papers, 16.9k citations indexed

About

Pertti Panula is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Pertti Panula has authored 344 papers receiving a total of 16.9k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Molecular Biology, 135 papers in Cellular and Molecular Neuroscience and 132 papers in Immunology. Recurrent topics in Pertti Panula's work include Mast cells and histamine (128 papers), Receptor Mechanisms and Signaling (92 papers) and Neuropeptides and Animal Physiology (83 papers). Pertti Panula is often cited by papers focused on Mast cells and histamine (128 papers), Receptor Mechanisms and Signaling (92 papers) and Neuropeptides and Animal Physiology (83 papers). Pertti Panula collaborates with scholars based in Finland, United States and Japan. Pertti Panula's co-authors include Helmut L. Haas, E. Costa, Jan Kaslin, Matti S. Airaksinen, Maria Sundvik, Nina Peitsaro, Saara Nuutinen, Ulla Pirvola, S. Auvinen and Oleg Anichtchik and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Pertti Panula

340 papers receiving 16.6k citations

Hit Papers

The role of histamine and... 1984 2026 1998 2012 2003 1984 1989 2015 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pertti Panula 6.7k 5.9k 4.9k 3.5k 3.0k 344 16.9k
Masaya Tohyama 11.6k 1.7× 10.6k 1.8× 1.7k 0.3× 2.3k 0.7× 1.3k 0.4× 516 24.2k
Tom Curran 32.0k 4.8× 14.5k 2.4× 4.3k 0.9× 2.2k 0.6× 747 0.3× 276 50.9k
Günther Schütz 19.6k 2.9× 7.9k 1.3× 3.4k 0.7× 3.0k 0.9× 318 0.1× 261 38.9k
Moses V. Chao 16.8k 2.5× 18.3k 3.1× 2.4k 0.5× 1.0k 0.3× 1.3k 0.4× 296 35.2k
Frank R. Sharp 12.3k 1.8× 7.3k 1.2× 1.5k 0.3× 1.5k 0.4× 843 0.3× 376 27.7k
Sadao Shiosaka 4.7k 0.7× 6.5k 1.1× 808 0.2× 1.8k 0.5× 716 0.2× 269 11.9k
Luis Miguel García‐Segura 5.6k 0.8× 6.4k 1.1× 1.4k 0.3× 1.8k 0.5× 350 0.1× 484 25.1k
Daniel R. Storm 12.2k 1.8× 11.4k 1.9× 558 0.1× 1.7k 0.5× 1.8k 0.6× 260 22.9k
Joël Bockaert 17.9k 2.7× 19.6k 3.3× 991 0.2× 1.5k 0.4× 659 0.2× 410 30.5k
Nathaniel Heintz 18.2k 2.7× 7.9k 1.3× 1.4k 0.3× 911 0.3× 617 0.2× 193 28.4k

Countries citing papers authored by Pertti Panula

Since Specialization
Citations

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

Fields of papers citing papers by Pertti Panula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pertti Panula

This figure shows the co-authorship network connecting the top 25 collaborators of Pertti Panula. A scholar is included among the top collaborators of Pertti Panula 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 Pertti Panula. Pertti Panula 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.
Määttä, Kirsi, Yu‐Chia Chen, Riikka E. Mäkitie, et al.. (2025). Utilizing CRISPR-Cas13d-knockdown in zebrafish to study a rare monogenic bone fragility syndrome. JBMR Plus. 9(11). ziaf153–ziaf153.
2.
Keller, Max, Lisa Schindler, Steffen Pockes, et al.. (2024). Initial Characterization of a Transgenic Mouse with Overexpression of the Human H1-Histamine Receptor on the Heart. Journal of Pharmacology and Experimental Therapeutics. 389(2). 174–185. 5 indexed citations
3.
Hofmann, Britt, Sarah Schneider, Lisa Schindler, et al.. (2024). Initial characterization of a transgenic mouse with overexpression of the human D1-dopamine receptor in the heart. Naunyn-Schmiedeberg s Archives of Pharmacology. 397(7). 4939–4959. 3 indexed citations
4.
Baronio, Diego, et al.. (2023). Zebrafish embryonically exposed to valproic acid present impaired retinal development and sleep behavior. Autism Research. 16(10). 1877–1890. 9 indexed citations
5.
Chazot, Paul L., Marlon Cowart, Hiroyuki Fukui, et al.. (2021). Histamine receptors in GtoPdb v.2021.3. IUPHAR/BPS Guide to Pharmacology CITE. 2021(3).
7.
Stainier, Didier Y. R., Erez Raz, Nathan D. Lawson, et al.. (2017). Guidelines for morpholino use in zebrafish. PLoS Genetics. 13(10). e1007000–e1007000. 237 indexed citations
8.
Laitinen, Jarmo T., et al.. (2013). A Randomized Clinical Trial of Histamine 2 Receptor Antagonism in Treatment-Resistant Schizophrenia. Journal of Clinical Psychopharmacology. 33(4). 472–478. 42 indexed citations
9.
Reimer, Michell M., Jochen Ohnmacht, Rickie Patani, et al.. (2013). Dopamine from the Brain Promotes Spinal Motor Neuron Generation during Development and Adult Regeneration. Developmental Cell. 25(5). 478–491. 97 indexed citations
10.
Decker-Farrell, Amanda R., Matthew McNeill, Ramón A. Lorca, et al.. (2013). Abnormal differentiation of dopaminergic neurons in zebrafish trpm7 mutant larvae impairs development of the motor pattern. Developmental Biology. 386(2). 428–439. 34 indexed citations
11.
Strähle, Uwe, Laure Bally‐Cuif, Robert N. Kelsh, et al.. (2012). EuFishBioMed (COST Action BM0804): A European Network to Promote the Use of Small Fishes in Biomedical Research. Zebrafish. 9(2). 90–93. 8 indexed citations
12.
Sundvik, Maria, et al.. (2012). MANF regulates dopaminergic neuron development in larval zebrafish. Developmental Biology. 370(2). 237–249. 82 indexed citations
13.
Panula, Pertti, Ville Sallinen, Maria Sundvik, et al.. (2006). Modulatory Neurotransmitter Systems and Behavior: Towards Zebrafish Models of Neurodegenerative Diseases. Zebrafish. 3(2). 235–247. 237 indexed citations
14.
Drutel, Guillaume, Nina Peitsaro, Kaj Karlstedt, et al.. (2001). Identification of Rat H3 Receptor Isoforms with Different Brain Expression and Signaling Properties. Molecular Pharmacology. 59(1). 1–8. 14 indexed citations
15.
Tuominen, Raimo K., et al.. (1997). EVIDENCE FOR PROLACTIN RELEASING ACTIVITY OF NEUROPEPTIDE FF IN RATS. 18(4). 190–196. 23 indexed citations
16.
Karhunen, Tuula, Carola Tilgmann, Ilkka Julkunen, Ismo Ulmanen, & Pertti Panula. (1992). Expression of catechol-O-methyltransferase (COMT) in rat brain and peripheral tissues. Lund University Publications (Lund University). 18. 1385–1385. 1 indexed citations
17.
Paetau, Anders, et al.. (1991). Histamine neurons in human hypothalamus: Anatomy in normal and alzheimer diseased brains. Neuroscience. 44(2). 465–481. 135 indexed citations
18.
Fort, Patrice, et al.. (1991). Immunohistochemical evidence for the presence of type B monoamine oxidase in histamine-containing neurons in the posterior hypothalamus of cats. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
19.
Airaksinen, Matti S. & Pertti Panula. (1988). Ultrastructural immunocytochemical localization of histamine in carbodiimide fixed guinea pig cns neurons and adrenal medullary mast cells. The Society for Neuroscience Abstracts. 14(1). 211. 1 indexed citations
20.
Panula, Pertti, Hsiang‐Yu Yang, & E. Costa. (1984). Histamine-containing neurons in the rat hypothalamus.. Proceedings of the National Academy of Sciences. 81(8). 2572–2576. 589 indexed citations breakdown →

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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