Anssi Pelkonen

608 total citations
10 papers, 262 citations indexed

About

Anssi Pelkonen is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Neurology. According to data from OpenAlex, Anssi Pelkonen has authored 10 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 4 papers in Biomedical Engineering and 3 papers in Neurology. Recurrent topics in Anssi Pelkonen's work include Neuroscience and Neural Engineering (5 papers), 3D Printing in Biomedical Research (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Anssi Pelkonen is often cited by papers focused on Neuroscience and Neural Engineering (5 papers), 3D Printing in Biomedical Research (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Anssi Pelkonen collaborates with scholars based in Finland, Australia and Denmark. Anssi Pelkonen's co-authors include Susanna Narkilahti, Leonid Yavich, Henna Konttinen, Antonios Dougalis, Lassi Sukki, Pasi Kallio, Ilkka Fagerlund, Mireia Gómez‐Budia, Paula Korhonen and Tarja Malm and has published in prestigious journals such as Biosensors and Bioelectronics, Neuroscience Letters and Cells.

In The Last Decade

Anssi Pelkonen

10 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anssi Pelkonen Finland	7	144	79	72	50	47	10	262
Tanja Hyvärinen Finland	7	166 1.2×	106 1.3×	73 1.0×	78 1.6×	53 1.1×	12	333
Abhijeet Sambangi United States	5	187 1.3×	57 0.7×	126 1.8×	48 1.0×	59 1.3×	7	332
Sebastian Illes Sweden	13	203 1.4×	59 0.7×	173 2.4×	64 1.3×	63 1.3×	20	410
Quynh-Anh Nguyen United States	10	268 1.9×	55 0.7×	146 2.0×	34 0.7×	118 2.5×	11	415
Elisa Ren Italy	10	114 0.8×	33 0.4×	144 2.0×	21 0.4×	66 1.4×	13	341
M Kellogg United States	3	200 1.4×	76 1.0×	293 4.1×	51 1.0×	34 0.7×	4	416
Sivan Kanner Israel	9	186 1.3×	31 0.4×	96 1.3×	129 2.6×	73 1.6×	12	393
Ilaria Chiaradia United Kingdom	4	79 0.5×	78 1.0×	245 3.4×	18 0.4×	60 1.3×	4	384
Chantal Schoenmaker Netherlands	8	141 1.0×	46 0.6×	140 1.9×	19 0.4×	78 1.7×	14	305
Teun M. Klein Gunnewiek Netherlands	8	139 1.0×	49 0.6×	178 2.5×	16 0.3×	81 1.7×	10	335

Countries citing papers authored by Anssi Pelkonen

Since Specialization

Citations

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

Fields of papers citing papers by Anssi Pelkonen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anssi Pelkonen

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

All Works

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10 of 10 papers shown

Fagerlund, Ilkka, Antonios Dougalis, Anastasia Shakirzyanova, et al.. (2021). Microglia-like Cells Promote Neuronal Functions in Cerebral Organoids. Cells. 11(1). 124–124. 75 indexed citations

Pelkonen, Anssi, Cristiana Pistono, Mireia Gómez‐Budia, et al.. (2021). Functional Characterization of Human Pluripotent Stem Cell-Derived Models of the Brain with Microelectrode Arrays. Cells. 11(1). 106–106. 31 indexed citations

Pelkonen, Anssi, Lassi Sukki, Joose Kreutzer, et al.. (2020). A modular brain-on-a-chip for modelling epileptic seizures with functionally connected human neuronal networks. Biosensors and Bioelectronics. 168. 112553–112553. 53 indexed citations

Pelkonen, Anssi, Kestutis Grigoras, Oili Ylivaara, et al.. (2019). Microelectrode Array With Transparent ALD TiN Electrodes. Frontiers in Neuroscience. 13. 226–226. 21 indexed citations

Pelkonen, Anssi, et al.. (2018). Effect of prolonged differentiation on functional maturation of human pluripotent stem cell-derived neuronal cultures. Stem Cell Research. 27. 151–161. 42 indexed citations

Pelkonen, Anssi, Kestutis Grigoras, Oili Ylivaara, et al.. (2018). (Semi-)transparent ALD TiN microelectrodes. Frontiers in Cellular Neuroscience. 12. 1 indexed citations

Pelkonen, Anssi, et al.. (2017). Optimised PDMS Tunnel Devices on MEAs Increase the Probability of Detecting Electrical Activity from Human Stem Cell-Derived Neuronal Networks. Frontiers in Neuroscience. 11. 606–606. 14 indexed citations

Pelkonen, Anssi, Pekka Kallunki, & Leonid Yavich. (2013). Effects of exogenous alpha-synuclein on stimulated dopamine overflow in dorsal striatum. Neuroscience Letters. 554. 141–145. 3 indexed citations

Pelkonen, Anssi & Leonid Yavich. (2011). Cortical spreading depression in alpha‐synuclein knockout mice. Synapse. 66(1). 81–84. 2 indexed citations

10.

Pelkonen, Anssi & Leonid Yavich. (2010). Neuromuscular pathology in mice lacking alpha-synuclein. Neuroscience Letters. 487(3). 350–353. 20 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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