Pol Bech
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
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- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
Papers in
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- Neural dynamics and brain function 4
- Memory and Neural Mechanisms 1
- Functional Brain Connectivity Studies 1
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- Neuroscience and Neuropharmacology Research 2
- Neurotransmitter Receptor Influence on Behavior 2
- Co-authors
- Samuel J. Gershman (1 shared paper)Yulong Li (1 shared paper)Athar N. Malik (1 shared paper)Naoshige Uchida (1 shared paper)Fangmiao Sun (1 shared paper)Iku Tsutsui‐Kimura (1 shared paper)John G. Mikhael (1 shared paper)HyungGoo R. Kim (1 shared paper)
- Journals
- eLife (2 papers)Cell (1 paper)Biological Psychiatry (1 paper)Current Biology (1 paper)Pharmacopsychiatry (1 paper)
- Partner nations
- SwitzerlandUnited KingdomJapan
In The Last Decade
Pol Bech
7 papers receiving 200 citations
Peers
Comparison fields: 5 of 40
- Cognitive Neuroscience 136
- Cellular and Molecular Neuroscience 126
- Clinical Psychology 25
- Neurology 18
- Behavioral Neuroscience 4
Countries citing papers authored by Pol Bech
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
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-authors
The 23 scholars most cited alongside Pol Bech, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 147 | |
| 2 | 2018 | 36 | |
| 3 | 1987 | 8 | |
| 4 | 2023 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2025 | 1 |
About Pol Bech
Pol Bech is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Biophysics and Neurology, having authored 7 papers that have together received 203 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Cell Image Analysis Techniques (2 papers), Receptor Mechanisms and Signaling (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Memory and Neural Mechanisms (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (136 citations), Cellular and Molecular Neuroscience (126 citations), Clinical Psychology (25 citations), Neurology (18 citations) and Behavioral Neuroscience (4 citations). Pol Bech has collaborated with scholars based in Switzerland, United Kingdom and Japan. Frequent co-authors include Samuel J. Gershman, Yulong Li, Athar N. Malik, Naoshige Uchida, Fangmiao Sun, Iku Tsutsui‐Kimura, John G. Mikhael, HyungGoo R. Kim, Yajun Zhang and Mitsuko Watabe‐Uchida. Their work appears in journals such as eLife, Cell, Biological Psychiatry, Current Biology and Pharmacopsychiatry.
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.