Michael E. Taylor

1.3k total citations
10 papers, 784 citations indexed

About

Michael E. Taylor is a scholar working on Molecular Biology, Numerical Analysis and Pharmacology. According to data from OpenAlex, Michael E. Taylor has authored 10 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Numerical Analysis and 1 paper in Pharmacology. Recurrent topics in Michael E. Taylor's work include Geotechnical and Geomechanical Engineering (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Estrogen and related hormone effects (1 paper). Michael E. Taylor is often cited by papers focused on Geotechnical and Geomechanical Engineering (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Estrogen and related hormone effects (1 paper). Michael E. Taylor collaborates with scholars based in United States. Michael E. Taylor's co-authors include Margaret M. McCarthy, Christian Reich, Jaclyn M. Schwarz, Anne T. M. Konkle, Susan L. Zup, Samim Ali Mondal, Masaru Miyagi, Margaret E. Holt, Agnieszka Borowik and Rovshan G. Sadygov and has published in prestigious journals such as Endocrinology, Behavioural Brain Research and Aging Cell.

In The Last Decade

Michael E. Taylor

9 papers receiving 728 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael E. Taylor United States	5	336	326	138	119	106	10	784
James Vickers United Kingdom	19	315 0.9×	158 0.5×	18 0.1×	49 0.4×	60 0.6×	61	1.5k
Wojciech M. Zajączkowski Poland	20	525 1.6×	888 2.7×	117 0.8×	252 2.1×	555 5.2×	160	1.7k
B. Tirozzi Italy	23	320 1.0×	126 0.4×	7 0.1×	190 1.6×	146 1.4×	114	1.3k
Keith Burns United States	18	740 2.2×	381 1.2×	38 0.3×	50 0.4×	32 0.3×	45	1.2k
Leon A. Greenberg United States	17	396 1.2×	179 0.5×	13 0.1×	143 1.2×	61 0.6×	57	1.0k
Takashi Ichinose Japan	18	414 1.2×	200 0.6×	15 0.1×	176 1.5×	16 0.2×	88	995
Kevin McLeod United States	12	247 0.7×	291 0.9×	8 0.1×	179 1.5×	7 0.1×	25	851
Jean-Pierre Tignol Belgium	23	769 2.3×	70 0.2×	119 0.9×	156 1.3×	74 0.7×	164	2.2k
C. Cattaneo Italy	17	148 0.4×	35 0.1×	101 0.7×	24 0.2×	163 1.5×	53	1.6k
Zhaoli Liu China	21	786 2.3×	1.5k 4.7×	5 0.0×	976 8.2×	32 0.3×	65	1.7k

Countries citing papers authored by Michael E. Taylor

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael E. Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Taylor. A scholar is included among the top collaborators of Michael E. Taylor 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 E. Taylor. Michael E. Taylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Mondal, Samim Ali, Agnieszka Borowik, Michael E. Taylor, et al.. (2024). Metformin treatment results in distinctive skeletal muscle mitochondrial remodeling in rats with different intrinsic aerobic capacities. Aging Cell. 23(9). e14235–e14235. 3 indexed citations

2.

Taylor, Michael E., et al.. (2024). Numbers of Exchangeable Hydrogens from LC–MS Data of Heavy Water Metabolically Labeled Samples. Journal of the American Society for Mass Spectrometry. 35(8). 1826–1837.

3.

Taylor, Michael E.. (2023). Partial Differential Equations II. Applied mathematical sciences. 1 indexed citations

4.

Taylor, Michael E.. (2023). Partial Differential Equations I. Applied mathematical sciences. 4 indexed citations

5.

Taylor, Michael E.. (2023). Partial Differential Equations III. Applied mathematical sciences. 1 indexed citations

6.

Taylor, Michael E.. (2010). Partial Differential Equations I. Applied mathematical sciences. 193 indexed citations

7.

Reich, Christian, Michael E. Taylor, & Margaret M. McCarthy. (2009). Differential effects of chronic unpredictable stress on hippocampal CB1 receptors in male and female rats. Behavioural Brain Research. 203(2). 264–269. 193 indexed citations

8.

Konkle, Anne T. M., et al.. (2007). Focal Adhesion Kinase and Paxillin: Novel Regulators of Brain Sexual Differentiation?. Endocrinology. 148(7). 3391–3401. 30 indexed citations

9.

Taylor, Michael E.. (1991). Pseudodifferential Operators and Nonlinear PDE. Birkhäuser Boston eBooks. 358 indexed citations

10.

Holt, Margaret E., et al.. (1985). Auditing a Leisure Program Failure. ScholarWorks@BGSU (Bowling Green State University). 4(2). 40–52. 1 indexed citations

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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