Victoria M. Smith

36 total papers · 543 total citations
25 papers, 383 citations indexed

About

Victoria M. Smith is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Victoria M. Smith has authored 25 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrine and Autonomic Systems, 12 papers in Cellular and Molecular Neuroscience and 12 papers in Cognitive Neuroscience. Recurrent topics in Victoria M. Smith's work include Circadian rhythm and melatonin (15 papers), Photoreceptor and optogenetics research (8 papers) and Sleep and Wakefulness Research (7 papers). Victoria M. Smith is often cited by papers focused on Circadian rhythm and melatonin (15 papers), Photoreceptor and optogenetics research (8 papers) and Sleep and Wakefulness Research (7 papers). Victoria M. Smith collaborates with scholars based in Canada, United States and United Kingdom. Victoria M. Smith's co-authors include Michael C. Antle, Roxanne Sterniczuk, Glenn R. Yamakawa, Morgan D. Barense, Richard H. Dyck, Rachel N. Newsome, Susanne Ferber, Carson Pun, Brooke D. Rakai and Jennifer D. Ryan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Spine.

In The Last Decade

Victoria M. Smith

25 papers receiving 380 citations

Author Peers

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

Author Last Decade Papers Cites
Victoria M. Smith 185 182 101 69 55 25 383
Daniel L. Hummer 128 0.7× 203 1.1× 212 2.1× 57 0.8× 82 1.5× 10 435
Dominic Valentino 143 0.8× 62 0.3× 77 0.8× 63 0.9× 72 1.3× 21 377
Darius D. Becker‐Krail 111 0.6× 230 1.3× 92 0.9× 73 1.1× 27 0.5× 19 379
Donald F. Caldwell 186 1.0× 64 0.4× 95 0.9× 50 0.7× 38 0.7× 21 402
Marie‐Pierre Cossette 203 1.1× 150 0.8× 188 1.9× 54 0.8× 46 0.8× 11 399
Kimberly J. Jennings 106 0.6× 199 1.1× 86 0.9× 40 0.6× 117 2.1× 10 419
KinHo Chan 158 0.9× 136 0.7× 114 1.1× 92 1.3× 27 0.5× 9 348
Kyle D. Ketchesin 81 0.4× 123 0.7× 107 1.1× 53 0.8× 52 0.9× 23 364
Dominic M. D. Tran 112 0.6× 57 0.3× 89 0.9× 98 1.4× 38 0.7× 24 395
Yu-Cheng Ho 100 0.5× 93 0.5× 154 1.5× 98 1.4× 17 0.3× 18 367

Countries citing papers authored by Victoria M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Victoria M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victoria M. Smith. 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 Victoria M. Smith. The network helps show where Victoria M. Smith may publish in the future.

Co-authorship network of co-authors of Victoria M. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria M. Smith. A scholar is included among the top collaborators of Victoria M. Smith 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 Victoria M. Smith. Victoria M. Smith 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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