Min Pu

806 total citations
22 papers, 278 citations indexed

About

Min Pu is a scholar working on Social Psychology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Min Pu has authored 22 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Social Psychology, 16 papers in Cognitive Neuroscience and 13 papers in Neurology. Recurrent topics in Min Pu's work include Action Observation and Synchronization (15 papers), Vestibular and auditory disorders (13 papers) and Neural dynamics and brain function (5 papers). Min Pu is often cited by papers focused on Action Observation and Synchronization (15 papers), Vestibular and auditory disorders (13 papers) and Neural dynamics and brain function (5 papers). Min Pu collaborates with scholars based in Belgium, Netherlands and China. Min Pu's co-authors include Frank Van Overwalle, Elien Heleven, Qianying Ma, Kris Baetens, Natacha Deroost, Chris Baeken, Naem Haihambo, Meijia Li, Rongjun Yu and Hao Dong and has published in prestigious journals such as Cerebral Cortex, Journal of Experimental Psychology General and Psychophysiology.

In The Last Decade

Min Pu

21 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Pu Belgium 12 188 154 148 44 24 22 278
Qianying Ma Belgium 12 261 1.4× 211 1.4× 205 1.4× 69 1.6× 33 1.4× 31 428
Thomas Hulst Germany 6 215 1.1× 51 0.3× 97 0.7× 41 0.9× 20 0.8× 10 287
Athanasia Metoki United States 9 252 1.3× 79 0.5× 41 0.3× 23 0.5× 5 0.2× 10 334
Caroline K. L. Schraa‐Tam Netherlands 7 175 0.9× 43 0.3× 166 1.1× 35 0.8× 9 0.4× 7 315
R. Lane United States 4 194 1.0× 48 0.3× 18 0.1× 36 0.8× 19 0.8× 5 355
Minye Zhan Netherlands 12 243 1.3× 76 0.5× 34 0.2× 19 0.4× 4 0.2× 25 338
Émilie Favre France 10 188 1.0× 36 0.2× 43 0.3× 46 1.0× 22 0.9× 16 472
A. Lisette Isenberg United States 9 276 1.5× 27 0.2× 37 0.3× 74 1.7× 20 0.8× 14 366
Zachary T. Nolan United States 9 166 0.9× 69 0.4× 20 0.1× 63 1.4× 4 0.2× 13 370
Guido Barchiesi Italy 14 379 2.0× 291 1.9× 156 1.1× 60 1.4× 3 0.1× 24 482

Countries citing papers authored by Min Pu

Since Specialization
Citations

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

Fields of papers citing papers by Min Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Min Pu. A scholar is included among the top collaborators of Min Pu 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 Min Pu. Min Pu 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.
Li, Meijia, Min Pu, Kris Baetens, et al.. (2025). Human cerebellum and social navigation: cerebello-cerebral connectivity using dynamic causal modelling. Social Cognitive and Affective Neuroscience. 20(1).
2.
Xia, Lin, Qian Li, Min Pu, Hao Dong, & Qinghua Zhang. (2025). Significance of nicotine and nicotinic acetylcholine receptors in Parkinson’s disease. Frontiers in Aging Neuroscience. 17. 1535310–1535310. 6 indexed citations
3.
Li, Meijia, Min Pu, Qianying Ma, et al.. (2024). One step too far: social cerebellum in norm-violating navigation. Social Cognitive and Affective Neuroscience. 19(1). 4 indexed citations
4.
Overwalle, Frank Van, Elien Heleven, Naem Haihambo, et al.. (2024). Mentalizing About Dynamic Social Action Sequences Is Supported by the Cerebellum, Basal Ganglia, and Neocortex: A Meta‐Analysis of Activation and Connectivity. Human Brain Mapping. 45(18). e70098–e70098. 1 indexed citations
5.
Haihambo, Naem, Qianying Ma, Kris Baetens, et al.. (2023). To Do or Not to Do: The cerebellum and neocortex contribute to predicting sequences of social intentions. Cognitive Affective & Behavioral Neuroscience. 23(2). 323–339. 9 indexed citations
6.
Overwalle, Frank Van, Qianying Ma, Naem Haihambo, et al.. (2023). A Functional Atlas of the Cerebellum Based on NeuroSynth Task Coordinates. The Cerebellum. 23(3). 993–1012. 14 indexed citations
7.
Ma, Qianying, Min Pu, Naem Haihambo, et al.. (2022). Effective cerebello–cerebral connectivity during implicit and explicit social belief sequence learning using dynamic causal modeling. Social Cognitive and Affective Neuroscience. 18(1). 14 indexed citations
8.
Li, Meijia, Min Pu, Kris Baetens, et al.. (2022). Mind your step: social cerebellum in interactive navigation. Social Cognitive and Affective Neuroscience. 18(1). 12 indexed citations
9.
Pu, Min, Elien Heleven, Qianying Ma, et al.. (2022). The posterior cerebellum and social action sequences in a cooperative context. The Cerebellum. 22(4). 559–577. 10 indexed citations
10.
Pu, Min, Qianying Ma, Elien Heleven, et al.. (2022). This is not who you are: The posterior cerebellum and stereotype-inconsistent action sequences. Cognitive Affective & Behavioral Neuroscience. 22(5). 1090–1107. 11 indexed citations
11.
Ma, Qianying, Min Pu, Meijia Li, et al.. (2022). Can transcranial direct current stimulation (tDCS) of the cerebellum improve implicit social and cognitive sequence learning?. International Journal of Clinical and Health Psychology. 23(2). 100355–100355. 10 indexed citations
12.
Pu, Min, Qianying Ma, Naem Haihambo, et al.. (2022). Dynamic causal modeling of cerebello-cerebral connectivity when sequencing trait-implying actions. Cerebral Cortex. 33(10). 6366–6381. 12 indexed citations
13.
Ma, Qianying, Min Pu, Naem Haihambo, et al.. (2021). The posterior cerebellum and temporoparietal junction support explicit learning of social belief sequences. Cognitive Affective & Behavioral Neuroscience. 22(3). 467–491. 12 indexed citations
14.
Li, Meijia, Qianying Ma, Kris Baetens, et al.. (2021). Social cerebellum in goal-directed navigation. Social Neuroscience. 16(5). 467–485. 26 indexed citations
15.
Overwalle, Frank Van, Min Pu, Qianying Ma, et al.. (2021). The Involvement of the Posterior Cerebellum in Reconstructing and Predicting Social Action Sequences. The Cerebellum. 21(5). 733–741. 25 indexed citations
16.
Ma, Qianying, Min Pu, Elien Heleven, et al.. (2021). The posterior cerebellum supports implicit learning of social belief sequences. Cognitive Affective & Behavioral Neuroscience. 21(5). 970–992. 26 indexed citations
17.
Ma, Qianying, Elien Heleven, Min Pu, et al.. (2021). Implicit Learning of True and False Belief Sequences. Frontiers in Psychology. 12. 643594–643594. 14 indexed citations
18.
Pu, Min, et al.. (2020). The posterior cerebellum supports the explicit sequence learning linked to trait attribution. Cognitive Affective & Behavioral Neuroscience. 20(4). 798–815. 39 indexed citations
19.
Pu, Min, et al.. (2020). Conscious awareness differentially shapes analgesic and hyperalgesic pain responses.. Journal of Experimental Psychology General. 149(11). 2007–2019. 6 indexed citations
20.
Pu, Min & Rongjun Yu. (2019). Post-encoding frontal theta activity predicts incidental memory in the reward context. Neurobiology of Learning and Memory. 158. 14–23. 9 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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