Julia Uddén

1.2k total citations
23 papers, 714 citations indexed

About

Julia Uddén is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Julia Uddén has authored 23 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 14 papers in Developmental and Educational Psychology and 6 papers in Social Psychology. Recurrent topics in Julia Uddén's work include Neurobiology of Language and Bilingualism (14 papers), Reading and Literacy Development (8 papers) and Language Development and Disorders (7 papers). Julia Uddén is often cited by papers focused on Neurobiology of Language and Bilingualism (14 papers), Reading and Literacy Development (8 papers) and Language Development and Disorders (7 papers). Julia Uddén collaborates with scholars based in Netherlands, Sweden and Portugal. Julia Uddén's co-authors include Peter Hagoort, Karl Magnus Petersson, Annika Hultén, Nietzsche H. L. Lam, Jan‐Mathijs Schoffelen, Jörg Bahlmann, Martin Ingvar, Christian Forkstam, Vasiliki Folia and André F. Marquand 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

Julia Uddén

22 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Uddén Netherlands 15 544 296 96 95 77 23 714
Christian Forkstam Netherlands 15 739 1.4× 415 1.4× 94 1.0× 138 1.5× 92 1.2× 22 967
Emiliano Zaccarella Germany 16 706 1.3× 450 1.5× 252 2.6× 123 1.3× 47 0.6× 34 862
M.H. de Vries Germany 9 319 0.6× 233 0.8× 38 0.4× 64 0.7× 65 0.8× 12 563
Zachary Mineroff United States 12 526 1.0× 249 0.8× 120 1.3× 89 0.9× 72 0.9× 16 640
Olessia Jouravlev Canada 15 409 0.8× 263 0.9× 84 0.9× 120 1.3× 66 0.9× 23 539
Elliot Murphy United Kingdom 16 306 0.6× 179 0.6× 68 0.7× 121 1.3× 62 0.8× 44 637
Arnaud Destrebecqz Belgium 4 345 0.6× 240 0.8× 97 1.0× 87 0.9× 81 1.1× 7 505
Jutta L. Mueller Germany 21 949 1.7× 835 2.8× 89 0.9× 246 2.6× 83 1.1× 51 1.2k
Louisa Bogaerts Belgium 17 551 1.0× 591 2.0× 27 0.3× 130 1.4× 116 1.5× 38 963
Erdmut Pfeifer Germany 7 1.2k 2.1× 621 2.1× 95 1.0× 230 2.4× 80 1.0× 8 1.3k

Countries citing papers authored by Julia Uddén

Since Specialization
Citations

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

Fields of papers citing papers by Julia Uddén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Uddén

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Uddén. A scholar is included among the top collaborators of Julia Uddén 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 Julia Uddén. Julia Uddén 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
3.
Uddén, Julia, Annika Hultén, Jan‐Mathijs Schoffelen, et al.. (2022). Supramodal Sentence Processing in the Human Brain: fMRI Evidence for the Influence of Syntactic Complexity in More Than 200 Participants. SHILAP Revista de lepidopterología. 3(4). 575–598. 18 indexed citations
4.
Uddén, Julia, et al.. (2022). Individual Differences in Indirect Speech Act Processing Found Outside the Language Network. SHILAP Revista de lepidopterología. 3(2). 287–317. 10 indexed citations
5.
Uddén, Julia, Annika Hultén, Zachary Mineroff, et al.. (2019). Toward Robust Functional Neuroimaging Genetics of Cognition. Journal of Neuroscience. 39(44). 8778–8787. 11 indexed citations
6.
Schoffelen, Jan‐Mathijs, Robert Oostenveld, Nietzsche H. L. Lam, et al.. (2019). A 204-subject multimodal neuroimaging dataset to study language processing. Scientific Data. 6(1). 17–17. 50 indexed citations
7.
Hultén, Annika, Jan‐Mathijs Schoffelen, Julia Uddén, Nietzsche H. L. Lam, & Peter Hagoort. (2018). How the brain makes sense beyond the processing of single words – An MEG study. NeuroImage. 186. 586–594. 31 indexed citations
8.
Schoffelen, Jan‐Mathijs, Annika Hultén, Nietzsche H. L. Lam, et al.. (2017). Frequency-specific directed interactions in the human brain network for language. Proceedings of the National Academy of Sciences. 114(30). 8083–8088. 83 indexed citations
9.
Uddén, Julia, Martin Ingvar, Peter Hagoort, & Karl Magnus Petersson. (2017). Broca’s region: A causal role in implicit processing of grammars with crossed non-adjacent dependencies. Cognition. 164. 188–198. 27 indexed citations
10.
Lam, Nietzsche H. L., Jan‐Mathijs Schoffelen, Julia Uddén, Annika Hultén, & Peter Hagoort. (2016). Neural activity during sentence processing as reflected in theta, alpha, beta, and gamma oscillations. NeuroImage. 142. 43–54. 85 indexed citations
11.
Uddén, Julia, Tineke M. Snijders, Simon E. Fisher, & Peter Hagoort. (2016). A common variant of the CNTNAP2 gene is associated with structural variation in the left superior occipital gyrus. Brain and Language. 172. 16–21. 21 indexed citations
12.
Uddén, Julia, et al.. (2013). Mindfulness reduces habitual responding based on implicit knowledge: Evidence from artificial grammar learning. Consciousness and Cognition. 22(3). 833–845. 23 indexed citations
13.
Uddén, Julia, Martin Ingvar, Peter Hagoort, & Karl Magnus Petersson. (2012). Implicit Acquisition of Grammars With Crossed and Nested Non‐Adjacent Dependencies: Investigating the Push‐Down Stack Model. Cognitive Science. 36(6). 1078–1101. 40 indexed citations
14.
Folia, Vasiliki, Julia Uddén, Christian Forkstam, M.H. de Vries, & Karl Magnus Petersson. (2011). Artificial language learning in adults and children. Max Planck Institute for Plasma Physics. 11 indexed citations
15.
Folia, Vasiliki, et al.. (2010). Artificial Language Learning in Adults and Children. Language Learning. 60(s2). 188–220. 44 indexed citations
16.
Uddén, Julia, Vasiliki Folia, & Karl Magnus Petersson. (2010). The Neuropharmacology of Implicit Learning. Current Neuropharmacology. 8(4). 367–381. 9 indexed citations
17.
Uddén, Julia, Susana Araújo, Christian Forkstam, et al.. (2009). A matter of time: Implicit acquisition of recursive sequence structures. Max Planck Digital Library. 31(31). 2444–2449. 15 indexed citations
18.
Folia, Vasiliki, Julia Uddén, Christian Forkstam, et al.. (2008). Implicit Learning and Dyslexia. Annals of the New York Academy of Sciences. 1145(1). 132–150. 52 indexed citations
19.
Uddén, Julia, Vasiliki Folia, Christian Forkstam, et al.. (2008). The inferior frontal cortex in artificial syntax processing: An rTMS study. Brain Research. 1224. 69–78. 66 indexed citations
20.
Uddén, Julia, et al.. (2006). Disruption of order information by irrelevant items: A serial recognition paradigm. Acta Psychologica. 124(3). 356–369. 13 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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