Marko Mikkonen

641 total citations
10 papers, 452 citations indexed

About

Marko Mikkonen is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Marko Mikkonen has authored 10 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Cognitive Neuroscience. Recurrent topics in Marko Mikkonen's work include Transcranial Magnetic Stimulation Studies (8 papers), Advanced MRI Techniques and Applications (4 papers) and Functional Brain Connectivity Studies (3 papers). Marko Mikkonen is often cited by papers focused on Transcranial Magnetic Stimulation Studies (8 papers), Advanced MRI Techniques and Applications (4 papers) and Functional Brain Connectivity Studies (3 papers). Marko Mikkonen collaborates with scholars based in Finland and Japan. Marko Mikkonen's co-authors include Ilkka Laakso, Akimasa Hirata, Satoshi Tanaka, Soichiro Koyama, Norihiro Sadato, José Gómez-Tames, Yohei Otaka, Shintaro Uehara, Motofumi Sumiya and Mervi Paulasto‐Kröckel and has published in prestigious journals such as NeuroImage, Scientific Reports and Physics in Medicine and Biology.

In The Last Decade

Marko Mikkonen

10 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marko Mikkonen Finland 8 361 262 109 96 87 10 452
Abeye Mekonnen Portugal 7 428 1.2× 337 1.3× 149 1.4× 83 0.9× 184 2.1× 12 632
Maged Elwassif United States 7 300 0.8× 219 0.8× 188 1.7× 118 1.2× 285 3.3× 9 608
Mirko Windhoff Germany 4 636 1.8× 483 1.8× 196 1.8× 298 3.1× 135 1.6× 4 844
Kaoru Yuasa Japan 8 246 0.7× 171 0.7× 86 0.8× 20 0.2× 60 0.7× 10 387
Fernando Gasca Germany 9 401 1.1× 347 1.3× 96 0.9× 39 0.4× 196 2.3× 14 582
Zeinab Esmaeilpour United States 10 388 1.1× 273 1.0× 71 0.7× 45 0.5× 139 1.6× 16 506
Chloé Stengel France 7 251 0.7× 232 0.9× 36 0.3× 40 0.4× 62 0.7× 11 410
Victor H. Souza Finland 11 297 0.8× 198 0.8× 125 1.1× 69 0.7× 40 0.5× 59 412
Sébastien Proulx Canada 13 151 0.4× 200 0.8× 34 0.3× 148 1.5× 62 0.7× 15 402
Raffaella Chieffo Italy 16 432 1.2× 221 0.8× 188 1.7× 50 0.5× 62 0.7× 35 612

Countries citing papers authored by Marko Mikkonen

Since Specialization
Citations

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

Fields of papers citing papers by Marko Mikkonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Mikkonen

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

All Works

10 of 10 papers shown
1.
Laakso, Ilkka, Marko Mikkonen, Soichiro Koyama, Akimasa Hirata, & Satoshi Tanaka. (2019). Can electric fields explain inter-individual variability in transcranial direct current stimulation of the motor cortex?. Scientific Reports. 9(1). 626–626. 124 indexed citations
2.
Mikkonen, Marko & Ilkka Laakso. (2019). Effects of posture on electric fields of non-invasive brain stimulation. Physics in Medicine and Biology. 64(6). 65019–65019. 19 indexed citations
3.
Mikkonen, Marko, Ilkka Laakso, Satoshi Tanaka, & Akimasa Hirata. (2019). Cost of focality in TDCS: Interindividual variability in electric fields. Brain stimulation. 13(1). 117–124. 92 indexed citations
4.
Gómez-Tames, José, Marko Mikkonen, Ilkka Laakso, et al.. (2019). Group-level and functional-region analysis of electric-field shape during cerebellar transcranial direct current stimulation with different electrode montages. Journal of Neural Engineering. 16(3). 36001–36001. 46 indexed citations
5.
Mikkonen, Marko, et al.. (2018). A multi-scale computational approach based on TMS experiments for the assessment of electro-stimulation thresholds of the brain at intermediate frequencies. Physics in Medicine and Biology. 63(22). 225006–225006. 20 indexed citations
6.
Mikkonen, Marko, Ilkka Laakso, Motofumi Sumiya, et al.. (2018). TMS Motor Thresholds Correlate With TDCS Electric Field Strengths in Hand Motor Area. Frontiers in Neuroscience. 12. 31 indexed citations
7.
Laakso, Ilkka, Satoshi Tanaka, Marko Mikkonen, Soichiro Koyama, & Akimasa Hirata. (2017). Variability in TDCS electric fields: Effects of electrode size and configuration. 1–4. 6 indexed citations
8.
Laakso, Ilkka, Satoshi Tanaka, Marko Mikkonen, et al.. (2016). Electric fields of motor and frontal tDCS in a standard brain space: A computer simulation study. NeuroImage. 137. 140–151. 99 indexed citations
9.
Kaivosoja, Emilia, et al.. (2016). Choice of osteoblast model critical for studying the effects of electromagnetic stimulation on osteogenesisin vitro. Electromagnetic Biology and Medicine. 35(4). 353–364. 14 indexed citations
10.
Mikkonen, Marko & Ilkka Laakso. (2016). Sub-voxel refinement method for tissue boundary conductivities in volume conductor models. 61. 579–582. 1 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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2026