Petro Suvanto

2.0k total citations · 1 hit paper
9 papers, 1.6k citations indexed

About

Petro Suvanto is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Petro Suvanto has authored 9 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Developmental Neuroscience. Recurrent topics in Petro Suvanto's work include Nerve injury and regeneration (7 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Renal and related cancers (2 papers). Petro Suvanto is often cited by papers focused on Nerve injury and regeneration (7 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Renal and related cancers (2 papers). Petro Suvanto collaborates with scholars based in Finland, United States and United Kingdom. Petro Suvanto's co-authors include Märt Saarma, Hannu Sariola, Vassilis Pachnis, Bruce A.J. Ponder, Camelia V. Marcos-Gutierrez, Pascale Durbec, Maria Grigoriou, Darrin P. Smith, Frank Costantini and Kirsi Sainio and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Development.

In The Last Decade

Petro Suvanto

9 papers receiving 1.6k citations

Hit Papers

GDNF signalling through the Ret receptor tyrosine kinase 1996 2026 2006 2016 1996 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Petro Suvanto Finland 9 899 661 403 234 189 9 1.6k
Robert D. Klein United States 7 801 0.9× 648 1.0× 425 1.1× 370 1.6× 221 1.2× 8 1.6k
Anna Buj‐Bello France 21 1.7k 1.9× 1.3k 1.9× 719 1.8× 324 1.4× 346 1.8× 27 2.9k
Christopher A. Nosrat Sweden 25 840 0.9× 1.2k 1.8× 617 1.5× 268 1.1× 117 0.6× 32 2.3k
Anita Schuchardt United States 10 1.4k 1.6× 547 0.8× 323 0.8× 909 3.9× 447 2.4× 10 2.5k
Sanja Ivković Serbia 15 1.0k 1.1× 373 0.6× 206 0.5× 125 0.5× 186 1.0× 37 1.6k
Siddharthan Chandran United Kingdom 18 1.2k 1.3× 699 1.1× 1.0k 2.6× 165 0.7× 104 0.6× 24 2.2k
Yanbin Yu United States 7 680 0.8× 775 1.2× 534 1.3× 219 0.9× 167 0.9× 9 1.4k
Zheng Hu United States 5 656 0.7× 668 1.0× 435 1.1× 194 0.8× 154 0.8× 5 1.3k
Yutaka Itokazu United States 22 1.3k 1.5× 809 1.2× 768 1.9× 592 2.5× 104 0.6× 37 2.7k
Francesca E. Mackenzie United Kingdom 12 630 0.7× 650 1.0× 199 0.5× 216 0.9× 206 1.1× 14 1.5k

Countries citing papers authored by Petro Suvanto

Since Specialization
Citations

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

Fields of papers citing papers by Petro Suvanto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petro Suvanto

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

All Works

9 of 9 papers shown
1.
Mukai, Jun, Shisako Shoji, Makoto Kimura, et al.. (2002). Structure-Function Analysis of NADE. Journal of Biological Chemistry. 277(16). 13973–13982. 37 indexed citations
2.
Botchkareva, Natalia V., Vladimir A. Botchkarev, Pia Welker, et al.. (2000). New Roles for Glial Cell Line-Derived Neurotrophic Factor and Neurturin. American Journal Of Pathology. 156(3). 1041–1053. 43 indexed citations
3.
Mukai, Jun, Takahisa Hachiya, Shisako Shoji, et al.. (2000). NADE, a p75NTR-associated Cell Death Executor, Is Involved in Signal Transduction Mediated by the Common Neurotrophin Receptor p75NTR. Journal of Biological Chemistry. 275(23). 17566–17570. 165 indexed citations
4.
Ylikoski, Jukka, Ulla Pirvola, Jussi Virkkala, et al.. (1998). Guinea pig auditory neurons are protected by glial cell line-derived growth factor from degeneration after noise trauma. Hearing Research. 124(1-2). 17–26. 147 indexed citations
5.
Luukko, Keijo, Petro Suvanto, Märt Saarma, & Irma Thesleff. (1997). Expression of GDNF and its receptors in developing tooth is developmentally regulated and suggests multiple roles in innervation and organogenesis. Developmental Dynamics. 210(4). 463–471. 53 indexed citations
6.
Sainio, Kirsi, Petro Suvanto, Jamie A. Davies, et al.. (1997). Glial-cell-line-derived neurotrophic factor is required for bud initiation from ureteric epithelium. Development. 124(20). 4077–4087. 293 indexed citations
8.
Durbec, Pascale, Camelia V. Marcos-Gutierrez, Maria Grigoriou, et al.. (1996). GDNF signalling through the Ret receptor tyrosine kinase. Nature. 381(6585). 789–793. 667 indexed citations breakdown →
9.
Suvanto, Petro, Jukka O. Hiltunen, Urmas Arumäe, et al.. (1996). Localization of Glial Cell Line‐derived Neurotrophic Factor (GDNF) mRNA in Embryonic Rat by In Situ Hybridization. European Journal of Neuroscience. 8(4). 816–822. 116 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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