Gail Musen
- Cognitive Neuroscience top 1%
- Developmental and Educational Psychology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Cellular and Molecular Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Larry R. SquireBarbara J. KnowltonAlan M. JacobsonAnne TreismanKatie WeingerNicolas R. BoloDonald C. SimonsonChristopher M. Ryan
- Topics
- Child and Animal Learning Development (10 papers)Memory Processes and Influences (9 papers)Diabetes Management and Research (9 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Gail Musen
43 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cognitive Neuroscience 1.7k
- Developmental and Educational Psychology 554
- Endocrinology, Diabetes and Metabolism 498
- Cellular and Molecular Neuroscience 320
- Radiology, Nuclear Medicine and Imaging 319
Countries citing papers authored by Gail Musen
This map shows the geographic impact of Gail Musen'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 Gail Musen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail Musen more than expected).
Fields of papers citing papers by Gail Musen
This network shows the impact of papers produced by Gail Musen. 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 Gail Musen. The network helps show where Gail Musen may publish in the future.
Co-authorship network of co-authors of Gail Musen
This figure shows the co-authorship network connecting the top 25 collaborators of Gail Musen. A scholar is included among the top collaborators of Gail Musen 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 Gail Musen. Gail Musen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 14 | |
| 4 | 16 | |
| 5 | 13 | |
| 6 | 25 | |
| 7 | 200 | |
| 8 | 120 | |
| 9 | 12 | |
| 10 | 14 | |
| 11 | 89 | |
| 12 | 54 | |
| 13 | 7 | |
| 14 | 12 | |
| 15 | 96 | |
| 16 | The Structure and Organization of Memorybreakdown → | 760 |
| 17 | 46 | |
| 18 | 47 | |
| 19 | 40 | |
| 20 | 137 |
About Gail Musen
Gail Musen is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Endocrinology, Diabetes and Metabolism, having authored 43 papers that have together received 2.9k indexed citations. Recurring topics across this work include Child and Animal Learning Development (10 papers), Memory Processes and Influences (9 papers) and Diabetes Management and Research (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Developmental and Educational Psychology (554 citations) and Endocrinology, Diabetes and Metabolism (498 citations). Gail Musen has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Larry R. Squire, Barbara J. Knowlton, Alan M. Jacobson, Anne Treisman, Katie Weinger, Nicolas R. Bolo, Donald C. Simonson, Christopher M. Ryan, Perry F. Renshaw and Veronica L. Flores. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.