Abigail K. Mayo

10 total papers · 556 total citations
5 papers, 410 citations indexed

About

Abigail K. Mayo is a scholar working on Dermatology, Pharmaceutical Science and Food Science. According to data from OpenAlex, Abigail K. Mayo has authored 5 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Dermatology, 2 papers in Pharmaceutical Science and 2 papers in Food Science. Recurrent topics in Abigail K. Mayo's work include Bee Products Chemical Analysis (2 papers), Essential Oils and Antimicrobial Activity (2 papers) and Advancements in Transdermal Drug Delivery (2 papers). Abigail K. Mayo is often cited by papers focused on Bee Products Chemical Analysis (2 papers), Essential Oils and Antimicrobial Activity (2 papers) and Advancements in Transdermal Drug Delivery (2 papers). Abigail K. Mayo collaborates with scholars based in United States, United Kingdom and Canada. Abigail K. Mayo's co-authors include Anthony V. Rawlings, Julia S. Rogers, J. Banks, Clive R. Harding, Ian Scott, Allan Watkinson, James Hope, Nathaniel J. Moorman, Kim L. R. Brouwer and Timothy M. Willson and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Dermatological Science and Archives of Dermatological Research.

In The Last Decade

Abigail K. Mayo

5 papers receiving 373 citations

Author Peers

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

Author Last Decade Papers Cites
Abigail K. Mayo 297 245 63 46 45 5 410
Peter M. Elias 210 0.7× 230 0.9× 168 2.7× 28 0.6× 111 2.5× 9 475
S. Doppler 344 1.2× 206 0.8× 28 0.4× 133 2.9× 32 0.7× 13 447
Kenneth R. Feingold 241 0.8× 162 0.7× 135 2.1× 29 0.6× 65 1.4× 9 474
Thomas E. Redelmeier 177 0.6× 215 0.9× 108 1.7× 25 0.5× 65 1.4× 7 441
Shujun Xin 316 1.1× 168 0.7× 21 0.3× 39 0.8× 37 0.8× 7 405
Howard I. Maibach 226 0.8× 261 1.1× 55 0.9× 15 0.3× 17 0.4× 11 411
Robert D. Sabin 116 0.4× 106 0.4× 99 1.6× 21 0.5× 27 0.6× 6 367
Mary A. Perkins 176 0.6× 117 0.5× 38 0.6× 38 0.8× 15 0.3× 11 478
M. Breternitz 315 1.1× 140 0.6× 21 0.3× 155 3.4× 23 0.5× 6 411
Katja Bäsler 235 0.8× 97 0.4× 85 1.3× 80 1.7× 30 0.7× 5 399

Countries citing papers authored by Abigail K. Mayo

Since Specialization
Citations

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

Fields of papers citing papers by Abigail K. Mayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abigail K. Mayo. 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 Abigail K. Mayo. The network helps show where Abigail K. Mayo may publish in the future.

Co-authorship network of co-authors of Abigail K. Mayo

This figure shows the co-authorship network connecting the top 25 collaborators of Abigail K. Mayo. A scholar is included among the top collaborators of Abigail K. Mayo 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 Abigail K. Mayo. Abigail K. Mayo 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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