Marek Wypych

1.3k total citations
57 papers, 864 citations indexed

About

Marek Wypych is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marek Wypych has authored 57 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 16 papers in Experimental and Cognitive Psychology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marek Wypych's work include Neural dynamics and brain function (11 papers), Memory and Neural Mechanisms (10 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers). Marek Wypych is often cited by papers focused on Neural dynamics and brain function (11 papers), Memory and Neural Mechanisms (10 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers). Marek Wypych collaborates with scholars based in Poland, United States and Hungary. Marek Wypych's co-authors include Artur Marchewka, Katarzyna Jednoróg, Bartosz Kossowski, Monika Riegel, Małgorzata Wierzba, Małgorzata Wordecha, Marc N. Potenza, Anna Grabowska, Mateusz Gola and Michał Lew‐Starowicz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Marek Wypych

52 papers receiving 842 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Wypych Poland 16 428 254 254 147 139 57 864
Michelle Conroy United States 11 568 1.3× 159 0.6× 99 0.4× 75 0.5× 95 0.7× 23 975
Joshua Skewes Denmark 15 508 1.2× 254 1.0× 187 0.7× 124 0.8× 359 2.6× 38 981
Lori E. James United States 17 573 1.3× 119 0.5× 186 0.7× 336 2.3× 92 0.7× 39 898
Astrid M. Schloerscheidt United Kingdom 14 1.1k 2.7× 100 0.4× 271 1.1× 152 1.0× 429 3.1× 16 1.4k
James Barnes United Kingdom 13 678 1.6× 87 0.3× 161 0.6× 62 0.4× 191 1.4× 33 1.1k
Tom A. Hummer United States 21 578 1.4× 190 0.7× 212 0.8× 47 0.3× 137 1.0× 45 1.2k
Jeggan Tiego Australia 17 430 1.0× 300 1.2× 216 0.9× 57 0.4× 63 0.5× 56 919
Tim Brennen Norway 19 662 1.5× 138 0.5× 295 1.2× 229 1.6× 235 1.7× 44 1.0k
Elizabeth O’Nions United Kingdom 17 606 1.4× 410 1.6× 125 0.5× 107 0.7× 94 0.7× 40 928
Anja Leue Germany 17 368 0.9× 297 1.2× 242 1.0× 55 0.4× 251 1.8× 43 757

Countries citing papers authored by Marek Wypych

Since Specialization
Citations

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

Fields of papers citing papers by Marek Wypych

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Wypych

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Wypych. A scholar is included among the top collaborators of Marek Wypych 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 Marek Wypych. Marek Wypych 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.
Herman, Aleksandra M., Marek Wypych, Jarosław M. Michałowski, & Artur Marchewka. (2024). Bodily confusion: Lower differentiation of emotional and physiological states in student alcohol users. Addiction Biology. 29(2). e13364–e13364. 3 indexed citations
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Hamed, Adam, et al.. (2023). Rats respond to aversive emotional arousal of human handlers with the activation of the basolateral and central amygdala. Proceedings of the National Academy of Sciences. 120(46). e2302655120–e2302655120. 4 indexed citations
5.
Rymarczyk, Krystyna, Piotr Bogorodzki, Bartosz Kossowski, et al.. (2023). The Human Centromedial Amygdala Contributes to Negative Prediction Error Signaling during Appetitive and Aversive Pavlovian Gustatory Learning. Journal of Neuroscience. 43(17). 3176–3185. 4 indexed citations
6.
Riegel, Monika, Małgorzata Wierzba, Marek Wypych, et al.. (2022). Distinct medial-temporal lobe mechanisms of encoding and amygdala-mediated memory reinstatement for disgust and fear. NeuroImage. 251. 118889–118889. 9 indexed citations
7.
Riegel, Monika, Marek Wypych, Małgorzata Wierzba, et al.. (2022). Emotion schema effects on associative memory differ across emotion categories at the behavioural, physiological and neural level. Neuropsychologia. 172. 108257–108257. 3 indexed citations
8.
Wypych, Marek, Maciej Kopera, Hubert Suszek, et al.. (2022). Abnormal behavioral and neural responses in the right dorsolateral prefrontal cortex during emotional interference for cognitive control in pedophilic sex offenders. Journal of Psychiatric Research. 151. 131–135. 6 indexed citations
9.
Chyl, Katarzyna, Bartosz Kossowski, Shuai Wang, et al.. (2020). The brain signature of emerging reading in two contrasting languages. NeuroImage. 225. 117503–117503. 12 indexed citations
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Bilicki, Maciej, et al.. (2017). Automated novelty detection in the WISE survey with one-class support vector machines. Springer Link (Chiba Institute of Technology). 19 indexed citations
12.
Wierzba, Małgorzata, Monika Riegel, Marek Wypych, et al.. (2015). Basic Emotions in the Nencki Affective Word List (NAWL BE): New Method of Classifying Emotional Stimuli. PLoS ONE. 10(7). e0132305–e0132305. 44 indexed citations
13.
Wypych, Marek, et al.. (2009). A new method for identification of modulation in neural responses to drifting grating stimulation. Acta Neurobiologiae Experimentalis. 69(3). 1 indexed citations
14.
Berényi, Antal, et al.. (2009). Spatial and temporal visual properties of the neurons in the intermediate layers of the superior colliculus. Neuroscience Letters. 454(1). 76–80. 14 indexed citations
15.
Wypych, Marek, et al.. (2008). Changes of brain perfusion after endovascular embolization of intracranial arteriovenous malformations visualized by 99mTc-ECD SPECT. Nuclear Medicine Communications. 29(12). 1073–1080. 5 indexed citations
16.
Nagy, Attila, et al.. (2008). Drifting grating stimulation reveals particular activation properties of visual neurons in the caudate nucleus. European Journal of Neuroscience. 27(7). 1801–1808. 15 indexed citations
17.
Waleszczyk, Wioletta J., Attila Nagy, Marek Wypych, et al.. (2007). Spectral receptive field properties of neurons in the feline superior colliculus. Experimental Brain Research. 181(1). 87–98. 18 indexed citations
18.
Waleszczyk, Wioletta J., et al.. (2003). Speed tuned cells in feline superior colliculus. Acta Neurobiologiae Experimentalis. 63(5). 2 indexed citations
19.
Wypych, Marek, et al.. (2003). Sorting functional classes of evoked potentials by wavelets. Neuroinformatics. 1(2). 193–202. 3 indexed citations
20.
Wypych, Marek, et al.. (1990). Relation between mean ventricular phases in chronic cor pulmonale measured by radionuclide ventriculography. European Journal of Nuclear Medicine and Molecular Imaging. 16(8-10). 693–695. 2 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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