Michael E. Taylor
Impact in
- Mathematical Physics top 2%
- Advanced Mathematical Physics Problems
- Numerical methods in inverse problems
- Applied Mathematics top 2%
- Navier-Stokes equation solutions
- Advanced Harmonic Analysis Research
- Nonlinear Partial Differential Equations
Papers in
-
- Metabolism, Diabetes, and Cancer 1
- Wnt/β-catenin signaling in development and cancer 1
-
- Differential Equations and Numerical Methods 1
- Co-authors
- Margaret M. McCarthy (2 shared papers)Christian Reich (1 shared paper)Susan L. Zup (1 shared paper)Jaclyn M. Schwarz (1 shared paper)Anne T. M. Konkle (1 shared paper)Samim Ali Mondal (1 shared paper)Michael B. Stout (1 shared paper)Michael Kinter (1 shared paper)
- Journals
- Journal of the American Society for Mass Spectrometry (1 paper)Endocrinology (1 paper)Behavioural Brain Research (1 paper)Aging Cell (1 paper)Applied mathematical sciences (4 papers)
- Partner nations
- United States
In The Last Decade
Michael E. Taylor
9 papers receiving 728 citations
Peers
Comparison fields: 5 of 86
- Mathematical Physics 336
- Applied Mathematics 326
- Behavioral Neuroscience 48
- Biological Psychiatry 25
- Pharmacology 138
Countries citing papers authored by Michael E. Taylor
This map shows the geographic impact of Michael E. Taylor'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 E. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Taylor more than expected).
Fields of papers citing papers by Michael E. Taylor
This network shows the impact of papers produced by Michael E. Taylor. 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 E. Taylor. The network helps show where Michael E. Taylor may publish in the future.
Co-authors
The 16 scholars most cited alongside Michael E. Taylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 358 | |
| 2 | 2009 | 193 | |
| 3 | 2010 | 193 | |
| 4 | 2007 | 30 | |
| 5 | 2023 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 1 | |
| 8 | Auditing a Leisure Program Failure | 1985 | 1 |
| 9 | 2023 | 1 | |
| 10 | 2024 | 0 |
About Michael E. Taylor
Michael E. Taylor is a scholar working on Molecular Biology, Numerical Analysis, Pharmacology, Cellular and Molecular Neuroscience and Social Psychology, having authored 10 papers that have together received 784 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (1 paper), Numerical methods in inverse problems (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Differential Equations and Numerical Methods (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Geotechnical and Geomechanical Engineering (1 paper). The work is most often cited by research in Mathematical Physics (336 citations), Applied Mathematics (326 citations), Behavioral Neuroscience (48 citations), Biological Psychiatry (25 citations) and Pharmacology (138 citations). Michael E. Taylor has collaborated with scholars based in United States. Frequent co-authors include Margaret M. McCarthy, Christian Reich, Susan L. Zup, Jaclyn M. Schwarz, Anne T. M. Konkle, Samim Ali Mondal, Michael B. Stout, Michael Kinter, Masaru Miyagi and Benjamin F. Miller. Their work appears in journals such as Journal of the American Society for Mass Spectrometry, Endocrinology, Behavioural Brain Research, Aging Cell and Applied mathematical sciences.
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.