Pol Bech

491 total citations
7 papers, 203 citations indexed

About

Pol Bech is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Pol Bech has authored 7 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Pol Bech's work include Neural dynamics and brain function (4 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Pol Bech is often cited by papers focused on Neural dynamics and brain function (4 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Pol Bech collaborates with scholars based in Switzerland, United Kingdom and Japan. Pol Bech's co-authors include Fangmiao Sun, Samuel J. Gershman, Naoshige Uchida, Mitsuko Watabe‐Uchida, Yajun Zhang, HyungGoo R. Kim, Yulong Li, John G. Mikhael, Iku Tsutsui‐Kimura and Athar N. Malik and has published in prestigious journals such as Cell, Current Biology and Biological Psychiatry.

In The Last Decade

Pol Bech

7 papers receiving 200 citations

Peers

Pol Bech
Ryan N. Hughes United States
Michelle Tjia United States
A Moses Lee United States
Adam Neumann United States
Pol Bech
Citations per year, relative to Pol Bech Pol Bech (= 1×) peers Kazuki Enomoto

Countries citing papers authored by Pol Bech

Since Specialization
Citations

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

Fields of papers citing papers by Pol Bech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pol Bech

This figure shows the co-authorship network connecting the top 25 collaborators of Pol Bech. A scholar is included among the top collaborators of Pol Bech 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 Pol Bech. Pol Bech is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Tamura, Keita, et al.. (2025). Cell-class-specific orofacial motor maps in mouse neocortex. Current Biology. 35(6). 1382–1390.e5. 1 indexed citations
4.
Bech, Pol, et al.. (2023). Striatal Dopamine Signals and Reward Learning. Function. 4(6). zqad056–zqad056. 5 indexed citations
5.
Kim, HyungGoo R., Athar N. Malik, John G. Mikhael, et al.. (2020). A Unified Framework for Dopamine Signals across Timescales. Cell. 183(6). 1600–1616.e25. 147 indexed citations
6.
Boom, Bastijn J.G. van den, Fabiana Santana, Pol Bech, et al.. (2018). Differential Effects of Deep Brain Stimulation of the Internal Capsule and the Striatum on Excessive Grooming in Sapap3 Mutant Mice. Biological Psychiatry. 84(12). 917–925. 36 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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