Kyle M. Baumbauer

82 total papers · 1.5k total citations
46 papers, 1.1k citations indexed

About

Kyle M. Baumbauer is a scholar working on Physiology, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kyle M. Baumbauer has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Physiology, 13 papers in Cellular and Molecular Neuroscience and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kyle M. Baumbauer's work include Pain Mechanisms and Treatments (23 papers), Pediatric Pain Management Techniques (10 papers) and Transcranial Magnetic Stimulation Studies (7 papers). Kyle M. Baumbauer is often cited by papers focused on Pain Mechanisms and Treatments (23 papers), Pediatric Pain Management Techniques (10 papers) and Transcranial Magnetic Stimulation Studies (7 papers). Kyle M. Baumbauer collaborates with scholars based in United States, United Kingdom and South Korea. Kyle M. Baumbauer's co-authors include James W. Grau, J. Russell Huie, Erin E. Young, Adam R. Ferguson, Kevin C. Hoy, H. Richard Koerber, Robin L. Joynes, Kuan H. Lee, Eric D. Crown and Junichi Hachisuka and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kyle M. Baumbauer

45 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Kyle M. Baumbauer 479 389 340 177 151 46 1.1k
Sarah A. Woller 569 1.2× 400 1.0× 406 1.2× 266 1.5× 156 1.0× 32 1.4k
Megan Ryan Detloff 461 1.0× 583 1.5× 352 1.0× 289 1.6× 144 1.0× 25 1.3k
Sandra M. Garraway 648 1.4× 452 1.2× 657 1.9× 309 1.7× 102 0.7× 41 1.3k
Jocemar Ilha 259 0.5× 236 0.6× 332 1.0× 117 0.7× 106 0.7× 60 1.0k
Kelli Sharp 255 0.5× 506 1.3× 520 1.5× 209 1.2× 182 1.2× 39 1.1k
Nadežda Lukáčová 485 1.0× 462 1.2× 370 1.1× 300 1.7× 166 1.1× 79 1.2k
J Maršala 590 1.2× 526 1.4× 388 1.1× 314 1.8× 183 1.2× 91 1.4k
Yoshiki Imamura 863 1.8× 187 0.5× 334 1.0× 117 0.7× 107 0.7× 69 1.3k
Aya Nakae 250 0.5× 237 0.6× 198 0.6× 87 0.5× 90 0.6× 39 981
G. Bono 312 0.7× 295 0.8× 217 0.6× 107 0.6× 106 0.7× 64 1.4k

Countries citing papers authored by Kyle M. Baumbauer

Since Specialization
Citations

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

Fields of papers citing papers by Kyle M. Baumbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle M. Baumbauer

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