Laura Egan
Impact in
- Cognitive Neuroscience top 10%
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Autism Spectrum Disorder Research
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Mental Health Research Topics
Papers in
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- Neural and Behavioral Psychology Studies 4
- EEG and Brain-Computer Interfaces 2
- Neural dynamics and brain function 2
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 4
- Mental Health Research Topics 2
- Co-authors
- Jin Fan (4 shared papers)Tracy A. Dennis‐Tiwary (4 shared papers)Tingting Wu (3 shared papers)Pinan Liu (1 shared paper)Yanhong Wu (1 shared paper)Zhixian Gao (1 shared paper)Hong Gu (1 shared paper)Xingchao Wang (1 shared paper)
- Journals
- Scientific Reports (1 paper)Cerebral Cortex (1 paper)Behaviour Research and Therapy (1 paper)Frontiers in Neuroscience (1 paper)Learning & Memory (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Laura Egan
10 papers receiving 327 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 197
- Experimental and Cognitive Psychology 110
- Psychiatry and Mental health 83
- Applied Psychology 19
- General Decision Sciences 6
Countries citing papers authored by Laura Egan
This map shows the geographic impact of Laura Egan'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 Laura Egan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Egan more than expected).
Fields of papers citing papers by Laura Egan
This network shows the impact of papers produced by Laura Egan. 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 Laura Egan. The network helps show where Laura Egan may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Egan, 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 | 2019 | 123 | |
| 2 | 2015 | 51 | |
| 3 | 2016 | 40 | |
| 4 | 2017 | 40 | |
| 5 | 2016 | 32 | |
| 6 | 2017 | 17 | |
| 7 | 2018 | 13 | |
| 8 | 1992 | 7 | |
| 9 | 2016 | 6 | |
| 10 | 2021 | 3 |
About Laura Egan
Laura Egan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Clinical Psychology, Molecular Biology and Social Psychology, having authored 10 papers that have together received 332 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), Mental Health Research Topics (2 papers), EEG and Brain-Computer Interfaces (2 papers), Neural dynamics and brain function (2 papers), Mindfulness and Compassion Interventions (1 paper) and Various Chemistry Research Topics (1 paper). The work is most often cited by research in Cognitive Neuroscience (197 citations), Experimental and Cognitive Psychology (110 citations), Psychiatry and Mental health (83 citations), Applied Psychology (19 citations) and General Decision Sciences (6 citations). Laura Egan has collaborated with scholars based in United States and China. Frequent co-authors include Jin Fan, Tracy A. Dennis‐Tiwary, Tingting Wu, Pinan Liu, Yanhong Wu, Zhixian Gao, Hong Gu, Xingchao Wang, Xiaosi Gu and Yihong Yang. Their work appears in journals such as Scientific Reports, Cerebral Cortex, Behaviour Research and Therapy, Frontiers in Neuroscience and Learning & Memory.
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.