Michael F. Keating

29 total papers · 459 total citations
10 papers, 166 citations indexed

About

Michael F. Keating is a scholar working on Spectroscopy, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Michael F. Keating has authored 10 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Spectroscopy, 3 papers in Cancer Research and 3 papers in Biomedical Engineering. Recurrent topics in Michael F. Keating's work include Mass Spectrometry Techniques and Applications (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Advanced X-ray and CT Imaging (2 papers). Michael F. Keating is often cited by papers focused on Mass Spectrometry Techniques and Applications (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Advanced X-ray and CT Imaging (2 papers). Michael F. Keating collaborates with scholars based in United States, Australia and Brazil. Michael F. Keating's co-authors include Clara L. Feider, Jialing Zhang, Lívia S. Eberlin, Alexander L. Antaris, Thomas E. Milner, Bradley R. Hart, R. Graham Cooks, Clint M. Alfaro, Eyas M. Hattab and Aaron Cohen‐Gadol and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Analytical Chemistry.

In The Last Decade

Michael F. Keating

8 papers receiving 165 citations

Author Peers

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

Author Last Decade Papers Cites
Michael F. Keating 103 84 30 21 19 10 166
G Mezey 60 0.6× 49 0.6× 19 0.6× 17 0.8× 5 0.3× 8 141
David L. Phelps 106 1.0× 146 1.7× 25 0.8× 15 0.7× 51 2.7× 14 292
Stephanie Ling 84 0.8× 147 1.8× 24 0.8× 11 0.5× 44 2.3× 16 253
Margherita Dell’Aica 101 1.0× 127 1.5× 42 1.4× 3 0.1× 13 0.7× 10 270
Anna Baud 67 0.7× 75 0.9× 15 0.5× 15 0.7× 7 0.4× 11 126
Daniela Mesa Sanchez 187 1.8× 182 2.2× 27 0.9× 33 1.6× 8 0.4× 7 286
Robert Dood 71 0.7× 88 1.0× 13 0.4× 18 0.9× 31 1.6× 20 263
Gerard Baquer 63 0.6× 74 0.9× 9 0.3× 8 0.4× 8 0.4× 11 117
Ashley N. Ives 142 1.4× 179 2.1× 14 0.5× 20 1.0× 5 0.3× 14 273
Xiaomeng Hu 62 0.6× 167 2.0× 53 1.8× 3 0.1× 81 4.3× 8 283

Countries citing papers authored by Michael F. Keating

Since Specialization
Citations

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

Fields of papers citing papers by Michael F. Keating

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael F. Keating. 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 Michael F. Keating. The network helps show where Michael F. Keating may publish in the future.

Co-authorship network of co-authors of Michael F. Keating

This figure shows the co-authorship network connecting the top 25 collaborators of Michael F. Keating. A scholar is included among the top collaborators of Michael F. Keating 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 Michael F. Keating. Michael F. Keating 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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