Caitlin Monaghan
Impact in
- Cognitive Neuroscience top 5%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Sleep and Wakefulness Research
- Functional Brain Connectivity Studies
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- Neuroscience and Neuropharmacology Research
Papers in
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- Memory and Neural Mechanisms 5
- Sleep and Wakefulness Research 2
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- COVID-19 Clinical Research Studies 4
- Co-authors
- Michael E. Hasselmo (4 shared papers)Ehren L. Newman (1 shared paper)Jason R. Climer (1 shared paper)Kishan Gupta (1 shared paper)Clifford G. Kentros (1 shared paper)Aldis P. Weible (1 shared paper)David C Rowland (1 shared paper)Thomas J. Wills (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)BMC Nephrology (2 papers)Neuroscience & Biobehavioral Reviews (1 paper)Neuroscience (1 paper)International Journal of Psychophysiology (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Caitlin Monaghan
13 papers receiving 442 citations
Peers
Comparison fields: 5 of 73
- Cognitive Neuroscience 290
- Cellular and Molecular Neuroscience 213
- Health Informatics 11
- Behavioral Neuroscience 25
- Sensory Systems 22
Countries citing papers authored by Caitlin Monaghan
This map shows the geographic impact of Caitlin Monaghan'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 Caitlin Monaghan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlin Monaghan more than expected).
Fields of papers citing papers by Caitlin Monaghan
This network shows the impact of papers produced by Caitlin Monaghan. 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 Caitlin Monaghan. The network helps show where Caitlin Monaghan may publish in the future.
Co-authors
The 25 scholars most cited alongside Caitlin Monaghan, 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 | 2012 | 132 | |
| 2 | 2017 | 102 | |
| 3 | 2012 | 81 | |
| 4 | 2020 | 34 | |
| 5 | 2019 | 31 | |
| 6 | 2017 | 17 | |
| 7 | 2019 | 15 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 2 | |
| 13 | 2024 | 1 |
About Caitlin Monaghan
Caitlin Monaghan is a scholar working on Cognitive Neuroscience, Infectious Diseases, Nephrology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 447 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Dialysis and Renal Disease Management (4 papers), COVID-19 diagnosis using AI (2 papers), Blood Pressure and Hypertension Studies (2 papers), COVID-19 and healthcare impacts (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (290 citations), Cellular and Molecular Neuroscience (213 citations), Health Informatics (11 citations), Behavioral Neuroscience (25 citations) and Sensory Systems (22 citations). Caitlin Monaghan has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Michael E. Hasselmo, Ehren L. Newman, Jason R. Climer, Kishan Gupta, Clifford G. Kentros, Aldis P. Weible, David C Rowland, Thomas J. Wills, Steven Poulter and Alexey Ponomarenko. Their work appears in journals such as Journal of Neuroscience, BMC Nephrology, Neuroscience & Biobehavioral Reviews, Neuroscience and International Journal of Psychophysiology.
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.