Lauren E. Wool
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Memory and Neural Mechanisms
Papers in
-
- Neural dynamics and brain function 4
- Visual perception and processing mechanisms 3
-
- Retinal Development and Disorders 3
- Bioinformatics and Genomic Networks 1
- Co-authors
- Qasim Zaidi (3 shared papers)Dennis M. Dacey (3 shared papers)Orin Packer (3 shared papers)Xiaoou Li (1 shared paper)José‐Manuel Alonso (1 shared paper)Jens Kremkow (1 shared paper)M. Jansen (1 shared paper)S. J. Komban (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Journal of Vision (2 papers)Current Opinion in Neurobiology (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Lauren E. Wool
6 papers receiving 212 citations
Peers
Comparison fields: 5 of 40
- Cognitive Neuroscience 165
- Sensory Systems 23
- Cellular and Molecular Neuroscience 82
- Experimental and Cognitive Psychology 27
- Social Psychology 30
Countries citing papers authored by Lauren E. Wool
This map shows the geographic impact of Lauren E. Wool'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 Lauren E. Wool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren E. Wool more than expected).
Fields of papers citing papers by Lauren E. Wool
This network shows the impact of papers produced by Lauren E. Wool. 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 Lauren E. Wool. The network helps show where Lauren E. Wool may publish in the future.
Co-authors
The 25 scholars most cited alongside Lauren E. Wool, 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 | 2017 | 96 | |
| 2 | 2015 | 48 | |
| 3 | 2018 | 34 | |
| 4 | 2019 | 30 | |
| 5 | 2020 | 5 | |
| 6 | 2017 | 2 |
About Lauren E. Wool
Lauren E. Wool is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology and Social Psychology, having authored 6 papers that have together received 215 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Retinal Development and Disorders (3 papers), Visual perception and processing mechanisms (3 papers), Color perception and design (1 paper), Bioinformatics and Genomic Networks (1 paper), Categorization, perception, and language (1 paper), Mental Health Research Topics (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cognitive Neuroscience (165 citations), Sensory Systems (23 citations), Cellular and Molecular Neuroscience (82 citations), Experimental and Cognitive Psychology (27 citations) and Social Psychology (30 citations). Lauren E. Wool has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Qasim Zaidi, Dennis M. Dacey, Orin Packer, Xiaoou Li, José‐Manuel Alonso, Jens Kremkow, M. Jansen, S. J. Komban, Joanna D. Crook and John B. Troy. Their work appears in journals such as Journal of Neuroscience, Journal of Vision, Current Opinion in Neurobiology and Cell Reports.
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.