Teppo Särkämö

4.7k total citations · 2 hit papers
80 papers, 2.8k citations indexed

About

Teppo Särkämö is a scholar working on Cognitive Neuroscience, Social Psychology and Rehabilitation. According to data from OpenAlex, Teppo Särkämö has authored 80 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Cognitive Neuroscience, 50 papers in Social Psychology and 13 papers in Rehabilitation. Recurrent topics in Teppo Särkämö's work include Neuroscience and Music Perception (53 papers), Music Therapy and Health (49 papers) and Neurobiology of Language and Bilingualism (18 papers). Teppo Särkämö is often cited by papers focused on Neuroscience and Music Perception (53 papers), Music Therapy and Health (49 papers) and Neurobiology of Language and Bilingualism (18 papers). Teppo Särkämö collaborates with scholars based in Finland, Spain and United States. Teppo Särkämö's co-authors include Mari Tervaniemi, Seppo Soinila, Aleksi J. Sihvonen, Matti Laine, Sari Laitinen, Vera Leo, Anita Forsblom, Taina Autti, Heli Silvennoinen and Marja Hietanen and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Teppo Särkämö

73 papers receiving 2.7k citations

Hit Papers

Music listening enhances cognitive recovery and mood afte... 2008 2026 2014 2020 2008 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teppo Särkämö Finland 27 2.0k 1.6k 437 420 338 80 2.8k
Marja Hietanen Finland 25 1.4k 0.7× 544 0.3× 605 1.4× 140 0.3× 909 2.7× 69 3.1k
Séverine Samson France 34 2.7k 1.4× 723 0.5× 22 0.1× 201 0.5× 1.1k 3.1× 108 3.5k
Estela Càmara Spain 29 1.4k 0.7× 246 0.2× 86 0.2× 45 0.1× 261 0.8× 55 2.0k
Luciano Fasotti Netherlands 28 984 0.5× 214 0.1× 779 1.8× 21 0.1× 941 2.8× 87 2.6k
Frini Karayanidis Australia 36 3.1k 1.6× 257 0.2× 77 0.2× 32 0.1× 548 1.6× 106 3.9k
Hervé Platel France 21 1.3k 0.7× 541 0.3× 16 0.0× 195 0.5× 219 0.6× 55 1.6k
Antonino Vallesi Italy 36 2.9k 1.5× 413 0.3× 54 0.1× 23 0.1× 326 1.0× 138 3.7k
Joël Macoir Canada 28 1.4k 0.7× 251 0.2× 194 0.4× 14 0.0× 814 2.4× 153 2.2k
Francisco Barceló Spain 29 2.9k 1.5× 217 0.1× 99 0.2× 13 0.0× 790 2.3× 58 4.2k
Mitchel Benovoy Canada 10 1.3k 0.7× 806 0.5× 16 0.0× 310 0.7× 81 0.2× 33 1.8k

Countries citing papers authored by Teppo Särkämö

Since Specialization
Citations

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

Fields of papers citing papers by Teppo Särkämö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teppo Särkämö

This figure shows the co-authorship network connecting the top 25 collaborators of Teppo Särkämö. A scholar is included among the top collaborators of Teppo Särkämö 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 Teppo Särkämö. Teppo Särkämö 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.
Haavisto, Anu, et al.. (2025). Neurocognitive and emotional benefits of choir singing and their mediating factors across adulthood. Aging Clinical and Experimental Research. 37(1). 272–272.
2.
Jokinen, Hanna, Teemu Paajanen, Jussi Virkkala, et al.. (2024). Executive functions and processing speed in covert cerebral small vessel disease. European Journal of Neurology. 32(1). e16533–e16533. 2 indexed citations
3.
Särkämö, Teppo, et al.. (2023). Hodological organization of spoken language production and singing in the human brain. Communications Biology. 6(1). 779–779. 5 indexed citations
4.
Särkämö, Teppo, et al.. (2023). Differential effects of ageing on the neural processing of speech and singing production. Frontiers in Aging Neuroscience. 15. 1236971–1236971.
5.
Särkämö, Teppo, et al.. (2023). Longitudinal effects of choir singing on aging cognition and wellbeing: a two-year follow-up study. Frontiers in Human Neuroscience. 17. 1174574–1174574. 11 indexed citations
6.
Grau‐Sánchez, Jennifer, Evangelos Paraskevopoulos, Simone Dalla Bella, et al.. (2022). Putting music to trial: Consensus on key methodological challenges investigating music‐based rehabilitation. Annals of the New York Academy of Sciences. 1518(1). 12–24. 25 indexed citations
7.
Martínez‐Molina, Noelia, Sini‐Tuuli Siponkoski, & Teppo Särkämö. (2022). Cognitive efficacy and neural mechanisms of music‐based neurological rehabilitation for traumatic brain injury. Annals of the New York Academy of Sciences. 1515(1). 20–32. 18 indexed citations
8.
Makkonen, Tommi, et al.. (2022). Benefits of choir singing on complex auditory encoding in the aging brain: An ERP study. Annals of the New York Academy of Sciences. 1514(1). 82–92. 9 indexed citations
9.
Sihvonen, Aleksi J., et al.. (2022). Isn't There Room for Music in Chronic Pain Management?. Journal of Pain. 23(7). 1143–1150. 18 indexed citations
10.
Sihvonen, Aleksi J., et al.. (2021). Resting‐state language network neuroplasticity in post‐stroke music listening: A randomized controlled trial. European Journal of Neuroscience. 54(11). 7886–7898. 11 indexed citations
11.
Martínez‐Molina, Noelia, Sini‐Tuuli Siponkoski, Linda Kuusela, et al.. (2021). Resting-State Network Plasticity Induced by Music Therapy after Traumatic Brain Injury. Neural Plasticity. 2021. 1–18. 34 indexed citations
12.
Toiviainen, Petri, et al.. (2021). What makes music memorable? Relationships between acoustic musical features and music-evoked emotions and memories in older adults. PLoS ONE. 16(5). e0251692–e0251692. 25 indexed citations
13.
Sihvonen, Aleksi J., Pablo Ripollés, Vera Leo, et al.. (2021). Vocal Music Listening Enhances Poststroke Language Network Reorganization. eNeuro. 8(4). ENEURO.0158–21.2021. 20 indexed citations
14.
Siponkoski, Sini‐Tuuli, Noelia Martínez‐Molina, Linda Kuusela, et al.. (2019). Music Therapy Enhances Executive Functions and Prefrontal Structural Neuroplasticity after Traumatic Brain Injury: Evidence from a Randomized Controlled Trial. Journal of Neurotrauma. 37(4). 618–634. 64 indexed citations
15.
Grau‐Sánchez, Jennifer, et al.. (2018). Music-supported therapy in the rehabilitation of subacute stroke patients: A randomized controlled trial. Annals of Physical and Rehabilitation Medicine. 61. e191–e191. 2 indexed citations
16.
17.
Särkämö, Teppo & Mari Tervaniemi. (2015). Cognitive, emotional, and neural benefits of musical leisure activities in stroke and dementia. Annals of Physical and Rehabilitation Medicine. 58. e69–e69. 1 indexed citations
18.
Särkämö, Teppo & David Soto. (2012). Music listening after stroke: beneficial effects and potential neural mechanisms. Annals of the New York Academy of Sciences. 1252(1). 266–281. 88 indexed citations
19.
Särkämö, Teppo, Mari Tervaniemi, Seppo Soinila, et al.. (2010). Auditory and Cognitive Deficits Associated with Acquired Amusia after Stroke: A Magnetoencephalography and Neuropsychological Follow-Up Study. PLoS ONE. 5(12). e15157–e15157. 44 indexed citations
20.
Särkämö, Teppo, Mari Tervaniemi, S. Laitinen, et al.. (2008). Music listening enhances cognitive recovery and mood after middle cerebral artery stroke. Brain. 131(3). 866–876. 590 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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