Jonas Persson

4.6k total citations
85 papers, 3.3k citations indexed

About

Jonas Persson is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Jonas Persson has authored 85 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cognitive Neuroscience, 15 papers in Psychiatry and Mental health and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Jonas Persson's work include Neural and Behavioral Psychology Studies (30 papers), Functional Brain Connectivity Studies (24 papers) and Memory and Neural Mechanisms (22 papers). Jonas Persson is often cited by papers focused on Neural and Behavioral Psychology Studies (30 papers), Functional Brain Connectivity Studies (24 papers) and Memory and Neural Mechanisms (22 papers). Jonas Persson collaborates with scholars based in Sweden, United States and Australia. Jonas Persson's co-authors include Lars Nyberg, Lars‐Göran Nilsson, Patricia A. Reuter‐Lorenz, Martin Ingvar, James Nelson, Anne Larsson, Sara Pudas, Grégoria Kalpouzos, Johanna Lind and Cindy Lustig and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Jonas Persson

82 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Persson Sweden 30 2.3k 602 475 474 352 85 3.3k
Ryouhei Ishii Japan 32 2.6k 1.2× 685 1.1× 309 0.7× 325 0.7× 270 0.8× 148 3.9k
Nancy A. Dennis United States 28 2.5k 1.1× 442 0.7× 561 1.2× 398 0.8× 446 1.3× 78 3.1k
Yihong Yang United States 22 1.6k 0.7× 629 1.0× 431 0.9× 525 1.1× 192 0.5× 82 2.8k
Jennifer E. McDowell United States 33 2.2k 1.0× 1.2k 2.1× 345 0.7× 542 1.1× 601 1.7× 118 4.0k
James C. Eliassen United States 35 1.9k 0.9× 1.0k 1.7× 343 0.7× 620 1.3× 261 0.7× 76 3.6k
Notger G. Müller Germany 36 2.3k 1.0× 630 1.0× 409 0.9× 727 1.5× 367 1.0× 122 4.8k
Fabrizio Piras Italy 36 1.6k 0.7× 958 1.6× 770 1.6× 375 0.8× 220 0.6× 111 3.5k
M. Natasha Rajah Canada 25 2.2k 1.0× 624 1.0× 335 0.7× 362 0.8× 160 0.5× 63 2.9k
Kelly S. Giovanello United States 28 2.1k 0.9× 453 0.8× 311 0.7× 409 0.9× 476 1.4× 71 2.8k
Thomas Dresler Germany 37 1.9k 0.8× 1.1k 1.8× 706 1.5× 818 1.7× 217 0.6× 141 4.1k

Countries citing papers authored by Jonas Persson

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Persson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Persson

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Persson. A scholar is included among the top collaborators of Jonas Persson 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 Jonas Persson. Jonas Persson 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.
Schrooten, Martien G.S., et al.. (2025). Age Differences in Brain Functional Connectivity Underlying Proactive Interference in Working Memory. Human Brain Mapping. 46(5). e70189–e70189.
2.
Persson, Jonas, et al.. (2024). Encoding-related Brain Activity Predicts Subsequent Trial-level Control of Proactive Interference in Working Memory. Journal of Cognitive Neuroscience. 36(5). 828–835. 3 indexed citations
3.
Andersson, Mikael, et al.. (2023). Hippocampal subfield volumes contribute to working memory interference control in aging: Evidence from longitudinal associations over 5 years. SHILAP Revista de lepidopterología. 3(4). 100189–100189. 2 indexed citations
4.
Li, Xin, et al.. (2022). The association between control of interference and white-matter integrity: A cross-sectional and longitudinal investigation. Neurobiology of Aging. 114. 49–60. 7 indexed citations
5.
Persson, Jonas, et al.. (2022). Neural correlates of sequence learning in children with developmental dyslexia. Human Brain Mapping. 43(11). 3559–3576. 7 indexed citations
6.
7.
Ziaei, Maryam, et al.. (2018). Age differences in the neural response to emotional distraction during working memory encoding. Cognitive Affective & Behavioral Neuroscience. 18(5). 869–883. 8 indexed citations
8.
Bäckman, Lars, et al.. (2017). Age-differences in the temporal properties of proactive interference in working memory.. Psychology and Aging. 32(8). 722–731. 16 indexed citations
9.
Peira, Nathalie, Maryam Ziaei, & Jonas Persson. (2015). Age differences in brain systems supporting transient and sustained processes involved in prospective memory and working memory. NeuroImage. 125. 745–755. 16 indexed citations
10.
Ziaei, Maryam, Nathalie Peira, & Jonas Persson. (2013). Brain systems underlying attentional control and emotional distraction during working memory encoding. NeuroImage. 87. 276–286. 20 indexed citations
11.
Ullman, Michael T., et al.. (2013). Enhanced Recognition Memory after Incidental Encoding in Children with Developmental Dyslexia. PLoS ONE. 8(5). e63998–e63998. 38 indexed citations
12.
Marklund, Petter & Jonas Persson. (2012). Context-dependent switching between proactive and reactive working memory control mechanisms in the right inferior frontal gyrus. NeuroImage. 63(3). 1552–1560. 49 indexed citations
13.
Persson, Jonas, Sara Pudas, J. Lind, et al.. (2011). Longitudinal Structure-Function Correlates in Elderly Reveal MTL Dysfunction with Cognitive Decline. Cerebral Cortex. 22(10). 2297–2304. 117 indexed citations
14.
Persson, Jonas, Antoine Tremblay, Esther Adi‐Japha, et al.. (2011). Grammar predicts procedural learning and consolidation deficits in children with Specific Language Impairment. Research in Developmental Disabilities. 32(6). 2362–2375. 111 indexed citations
15.
Persson, Jonas, Petrus Hemström, & Knut Irgum. (2008). Preparation of a sorbitol methacrylate grafted silica as stationary phase for hydrophilic interaction chromatography. Journal of Separation Science. 31(9). 1504–1510. 18 indexed citations
16.
Persson, Jonas, Cindy Lustig, James Nelson, & Patricia A. Reuter‐Lorenz. (2007). Age Differences in Deactivation: A Link to Cognitive Control?. Journal of Cognitive Neuroscience. 19(6). 1021–1032. 255 indexed citations
17.
Persson, Jonas, Kathryn M. Welsh, John Jonides, & Patricia A. Reuter‐Lorenz. (2007). Cognitive fatigue of executive processes: Interaction between interference resolution tasks. Neuropsychologia. 45(7). 1571–1579. 83 indexed citations
18.
Lind, J., Martin Ingvar, Jonas Persson, Marc Cruts, & Lars‐Göran Nilsson. (2006). Parietal cortex activation predicts longitudinal memory decline in APOE ε4 carriers.. Neuroreport. 1683–1686. 2 indexed citations
19.
Nyberg, Lars, Petter Marklund, Jonas Persson, et al.. (2002). Common prefrontal activations during working memory, episodic memory, and semantic memory. Neuropsychologia. 41(3). 371–377. 200 indexed citations
20.
Luthman, J., et al.. (1971). Hypocalcaemia in pregnant ewes.. 23(12). 620–627. 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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