Kathryn A. Muñoz

36 total papers · 1.1k total citations
17 papers, 873 citations indexed

About

Kathryn A. Muñoz is a scholar working on Cell Biology, Physiology and Molecular Biology. According to data from OpenAlex, Kathryn A. Muñoz has authored 17 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cell Biology, 6 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Kathryn A. Muñoz's work include Muscle metabolism and nutrition (7 papers), Exercise and Physiological Responses (4 papers) and Pituitary Gland Disorders and Treatments (4 papers). Kathryn A. Muñoz is often cited by papers focused on Muscle metabolism and nutrition (7 papers), Exercise and Physiological Responses (4 papers) and Pituitary Gland Disorders and Treatments (4 papers). Kathryn A. Muñoz collaborates with scholars based in United States, Chile and France. Kathryn A. Muñoz's co-authors include Rachel Ballard‐Barbash, Susan M. Krebs‐Smith, Linda Cleveland, Linda C. Harlan, Edward L. Trimble, Marc E. Tischler, Barry I. Graubard, Erik J. Henriksen, Rosalind A. Breslow and Soisungwan Satarug and has published in prestigious journals such as Journal of Clinical Oncology, PEDIATRICS and Journal of Applied Physiology.

In The Last Decade

Kathryn A. Muñoz

17 papers receiving 813 citations

Author Peers

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

Author Last Decade Papers Cites
Kathryn A. Muñoz 437 211 110 102 91 17 873
Anne-Marie Charraud 360 0.8× 230 1.1× 62 0.6× 87 0.9× 126 1.4× 5 967
A Galvão-Teles 232 0.5× 113 0.5× 100 0.9× 155 1.5× 37 0.4× 34 1.1k
Rebecca Ferrini 132 0.3× 103 0.5× 77 0.7× 114 1.1× 28 0.3× 23 957
Arno W. F. T. Toorians 154 0.4× 98 0.5× 41 0.4× 159 1.6× 220 2.4× 17 1.0k
Marja‐Leena Hannila 286 0.7× 138 0.7× 49 0.4× 126 1.2× 178 2.0× 17 1.0k
Reinhild Prinz‐Langenohl 305 0.7× 100 0.5× 78 0.7× 71 0.7× 123 1.4× 22 1.0k
Selvaraj Sivasubramaniam 156 0.4× 124 0.6× 47 0.4× 42 0.4× 46 0.5× 18 863
Gang-Jee Ko 295 0.7× 221 1.0× 81 0.7× 165 1.6× 42 0.5× 21 942
Claudio Aranda 370 0.8× 163 0.8× 133 1.2× 157 1.5× 62 0.7× 29 1.1k
Yvette M. Vigna 289 0.7× 178 0.8× 37 0.3× 118 1.2× 13 0.1× 14 948

Countries citing papers authored by Kathryn A. Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn A. Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn A. Muñoz. 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 Kathryn A. Muñoz. The network helps show where Kathryn A. Muñoz may publish in the future.

Co-authorship network of co-authors of Kathryn A. Muñoz

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn A. Muñoz. A scholar is included among the top collaborators of Kathryn A. Muñoz 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 Kathryn A. Muñoz. Kathryn A. Muñoz 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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