Frances C. Quevenco

12 total papers · 611 total citations
12 papers, 479 citations indexed

About

Frances C. Quevenco is a scholar working on Cognitive Neuroscience, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Frances C. Quevenco has authored 12 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Physiology and 6 papers in Psychiatry and Mental health. Recurrent topics in Frances C. Quevenco's work include Functional Brain Connectivity Studies (6 papers), Alzheimer's disease research and treatments (6 papers) and Dementia and Cognitive Impairment Research (6 papers). Frances C. Quevenco is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Alzheimer's disease research and treatments (6 papers) and Dementia and Cognitive Impairment Research (6 papers). Frances C. Quevenco collaborates with scholars based in Switzerland, United States and United Kingdom. Frances C. Quevenco's co-authors include Roger M. Nitsch, Anton Gietl, Paul G. Unschuld, Jiri M.G. Van Bergen, Peter C.M. van Zijl, Valérie Treyer, Xu Li, Magdalena W. Sliwinska, Joseph T. Devlin and C. Hock and has published in prestigious journals such as NeuroImage, Scientific Reports and Neurobiology of Aging.

In The Last Decade

Frances C. Quevenco

12 papers receiving 477 citations

Author Peers

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

Author Last Decade Papers Cites
Frances C. Quevenco 207 153 153 88 61 12 479
Jiri M.G. Van Bergen 139 0.7× 204 1.3× 150 1.0× 75 0.9× 60 1.0× 15 519
Simon J. Schreiner 202 1.0× 130 0.8× 133 0.9× 69 0.8× 53 0.9× 21 465
Anders Skinningsrud 70 0.3× 95 0.6× 111 0.7× 127 1.4× 65 1.1× 15 442
Beth Kuczynski 100 0.5× 92 0.6× 173 1.1× 155 1.8× 74 1.2× 8 410
Keiichi Kawasaki 60 0.3× 120 0.8× 65 0.4× 70 0.8× 35 0.6× 16 455
Daisuke Yanase 111 0.5× 147 1.0× 225 1.5× 211 2.4× 77 1.3× 21 514
Diane Jansen 79 0.4× 71 0.5× 264 1.7× 45 0.5× 128 2.1× 16 488
Sanne S. Kaalund 90 0.4× 51 0.3× 129 0.8× 75 0.9× 72 1.2× 21 498
R. Lake 57 0.3× 158 1.0× 75 0.5× 71 0.8× 18 0.3× 17 439
Sona Babakchanian 161 0.8× 116 0.8× 192 1.3× 224 2.5× 101 1.7× 11 496

Countries citing papers authored by Frances C. Quevenco

Since Specialization
Citations

This map shows the geographic impact of Frances C. Quevenco'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 Frances C. Quevenco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frances C. Quevenco more than expected).

Fields of papers citing papers by Frances C. Quevenco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frances C. Quevenco. 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 Frances C. Quevenco. The network helps show where Frances C. Quevenco may publish in the future.

Co-authorship network of co-authors of Frances C. Quevenco

This figure shows the co-authorship network connecting the top 25 collaborators of Frances C. Quevenco. A scholar is included among the top collaborators of Frances C. Quevenco 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 Frances C. Quevenco. Frances C. Quevenco 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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