Gail Musen

60 total papers · 3.8k total citations
43 papers, 2.9k citations indexed

About

Gail Musen is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Developmental and Educational Psychology. According to data from OpenAlex, Gail Musen has authored 43 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 12 papers in Cardiology and Cardiovascular Medicine and 12 papers in Developmental and Educational Psychology. Recurrent topics in Gail Musen's work include Child and Animal Learning Development (10 papers), Diabetes Management and Research (9 papers) and Memory Processes and Influences (9 papers). Gail Musen is often cited by papers focused on Child and Animal Learning Development (10 papers), Diabetes Management and Research (9 papers) and Memory Processes and Influences (9 papers). Gail Musen collaborates with scholars based in United States, South Korea and Canada. Gail Musen's co-authors include Larry R. Squire, Barbara J. Knowlton, Alan M. Jacobson, Anne Treisman, Katie Weinger, Donald C. Simonson, Christopher M. Ryan, Nicolas R. Bolo, Perry F. Renshaw and Veronica L. Flores and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Gail Musen

43 papers receiving 2.8k citations

Hit Papers

The Structure and Organiz... 1993 2026 2004 2015 1993 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gail Musen 1.7k 553 497 321 321 43 2.9k
Gabriel Leonard 1.8k 1.1× 272 0.5× 197 0.4× 303 0.9× 664 2.1× 80 4.5k
E. K. Warrington 2.1k 1.2× 426 0.8× 121 0.2× 354 1.1× 178 0.6× 36 4.3k
Michelangelo Buonocore 2.1k 1.3× 125 0.2× 123 0.2× 242 0.8× 332 1.0× 90 3.5k
A Rascol 1.4k 0.8× 426 0.8× 58 0.1× 604 1.9× 232 0.7× 105 3.9k
Ira Driscoll 1.2k 0.7× 150 0.3× 123 0.2× 532 1.7× 334 1.0× 68 3.8k
Sherif Karama 2.0k 1.2× 207 0.4× 171 0.3× 174 0.5× 749 2.3× 79 4.1k
Johan Eriksson 1.4k 0.9× 230 0.4× 82 0.2× 163 0.5× 268 0.8× 59 2.2k
E Skinhöj 1.9k 1.1× 313 0.6× 59 0.1× 376 1.2× 798 2.5× 60 4.6k
Gian Luigi Lenzi 1.3k 0.8× 221 0.4× 77 0.2× 279 0.9× 363 1.1× 74 3.8k
Anne De Volder 2.6k 1.6× 464 0.8× 117 0.2× 484 1.5× 406 1.3× 111 4.2k

Countries citing papers authored by Gail Musen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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