Kimberly D. Vana

18 total papers · 756 total citations
12 papers, 537 citations indexed

About

Kimberly D. Vana is a scholar working on Physiology, Endocrine and Autonomic Systems and Experimental and Cognitive Psychology. According to data from OpenAlex, Kimberly D. Vana has authored 12 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 6 papers in Endocrine and Autonomic Systems and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Kimberly D. Vana's work include Obstructive Sleep Apnea Research (6 papers), Neuroscience of respiration and sleep (6 papers) and Sleep and related disorders (5 papers). Kimberly D. Vana is often cited by papers focused on Obstructive Sleep Apnea Research (6 papers), Neuroscience of respiration and sleep (6 papers) and Sleep and related disorders (5 papers). Kimberly D. Vana collaborates with scholars based in United States. Kimberly D. Vana's co-authors include Graciela E. Silva, Stuart F. Quan, James L. Goodwin, Duane L. Sherrill, Rochelle Goldberg, Sairam Parthasarathy, Amy A. Drescher, Monica M. Vasquez, Stephen F. Derose and Vanessa Gonzalez and has published in prestigious journals such as SLEEP, Research in Nursing & Health and Journal of Clinical Sleep Medicine.

In The Last Decade

Kimberly D. Vana

12 papers receiving 517 citations

Author Peers

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

Author Last Decade Papers Cites
Kimberly D. Vana 381 286 196 128 126 12 537
Julius Kristjan Björnsson 152 0.4× 169 0.6× 283 1.4× 164 1.3× 46 0.4× 11 584
Ryan Day 324 0.9× 304 1.1× 243 1.2× 191 1.5× 122 1.0× 15 540
S. Garbuio 313 0.8× 162 0.6× 192 1.0× 178 1.4× 64 0.5× 21 551
Alyssa Cairns 169 0.4× 155 0.5× 232 1.2× 160 1.3× 70 0.6× 20 449
Gary L. Montgomery 167 0.4× 129 0.5× 102 0.5× 71 0.6× 225 1.8× 9 508
Anke Guenther 358 0.9× 314 1.1× 108 0.6× 82 0.6× 161 1.3× 5 474
Daniel Pérez-Chada 137 0.4× 119 0.4× 317 1.6× 153 1.2× 67 0.5× 21 584
Awad H. Olaish 268 0.7× 201 0.7× 185 0.9× 157 1.2× 88 0.7× 29 474
Soili Kajaste 263 0.7× 193 0.7× 161 0.8× 139 1.1× 70 0.6× 20 507
Judith Wolff 322 0.8× 300 1.0× 107 0.5× 78 0.6× 193 1.5× 9 483

Countries citing papers authored by Kimberly D. Vana

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly D. Vana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly D. Vana. 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 Kimberly D. Vana. The network helps show where Kimberly D. Vana may publish in the future.

Co-authorship network of co-authors of Kimberly D. Vana

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly D. Vana. A scholar is included among the top collaborators of Kimberly D. Vana 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 Kimberly D. Vana. Kimberly D. Vana 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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