Michael J. Saxton

6.9k total citations · 1 hit paper
43 papers, 5.3k citations indexed

About

Michael J. Saxton is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Michael J. Saxton has authored 43 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 13 papers in Atomic and Molecular Physics, and Optics and 11 papers in Biomedical Engineering. Recurrent topics in Michael J. Saxton's work include Lipid Membrane Structure and Behavior (16 papers), Spectroscopy and Quantum Chemical Studies (11 papers) and Nanopore and Nanochannel Transport Studies (9 papers). Michael J. Saxton is often cited by papers focused on Lipid Membrane Structure and Behavior (16 papers), Spectroscopy and Quantum Chemical Studies (11 papers) and Nanopore and Nanochannel Transport Studies (9 papers). Michael J. Saxton collaborates with scholars based in United States, China and Germany. Michael J. Saxton's co-authors include Ken Jacobson, J. M. Deutch, Edward E. Farmer, Thomas D. Moloshok, Clarence A. Ryan, R. W. Breidenbach, Hüseyin Besir, Christoph Naumann, B. U. Felderhof and Lee D. Hansen and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Chemical Physics and The Journal of Physical Chemistry B.

In The Last Decade

Michael J. Saxton

41 papers receiving 5.1k citations

Hit Papers

SINGLE-PARTICLE TRACKING:Applications to Membrane Dynamics 1997 2026 2006 2016 1997 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Saxton United States 26 3.2k 1.1k 1.0k 1.0k 594 43 5.3k
M.F. Garcia Parajo Spain 49 2.9k 0.9× 1.6k 1.4× 1.5k 1.4× 2.6k 2.5× 535 0.9× 137 7.0k
Matthias Weiß Germany 34 2.9k 0.9× 649 0.6× 451 0.4× 695 0.7× 1.1k 1.8× 136 5.1k
Edward C. Cox United States 48 5.4k 1.7× 479 0.4× 452 0.4× 3.6k 3.5× 720 1.2× 95 10.3k
Yuval Garini Israel 31 2.8k 0.9× 373 0.3× 567 0.5× 780 0.8× 235 0.4× 102 5.6k
Lene B. Oddershede Denmark 45 1.8k 0.6× 2.2k 2.0× 386 0.4× 2.8k 2.7× 618 1.0× 132 6.4k
Ido Golding United States 32 3.6k 1.1× 396 0.4× 649 0.6× 664 0.7× 206 0.3× 70 5.3k
Michael Elbaum Israel 39 2.2k 0.7× 614 0.6× 226 0.2× 521 0.5× 958 1.6× 126 5.4k
Jörg Langowski Germany 53 7.0k 2.2× 672 0.6× 948 0.9× 730 0.7× 857 1.4× 192 8.7k
Ben O’Shaughnessy United States 34 1.3k 0.4× 702 0.6× 193 0.2× 694 0.7× 1.3k 2.3× 115 4.3k
Aaron R. Dinner United States 49 4.9k 1.5× 1.0k 0.9× 201 0.2× 477 0.5× 736 1.2× 158 9.1k

Countries citing papers authored by Michael J. Saxton

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Saxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Saxton

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

All Works

20 of 20 papers shown
1.
Saxton, Michael J.. (2020). Single-Particle Tracking of DNA-Binding Biomolecules in the Nucleus: Why a Power-Law Distribution of Dwell Times?. Biophysical Journal. 118(3). 458a–458a. 1 indexed citations
2.
Saxton, Michael J.. (2016). Single-Particle Tracking Analysis using the Radius of Gyration Tensor, Revisited. Biophysical Journal. 110(3). 487a–487a.
3.
Saxton, Michael J.. (2012). Wanted: A Positive Control for Anomalous Subdiffusion. Biophysical Journal. 102(3). 653a–653a. 1 indexed citations
4.
Saxton, Michael J.. (2012). Wanted: A Positive Control for Anomalous Subdiffusion. Biophysical Journal. 103(12). 2411–2422. 89 indexed citations
5.
Saxton, Michael J.. (2010). Two-Dimensional Continuum Percolation Threshold for Diffusing Particles of Nonzero Radius. Biophysical Journal. 99(5). 1490–1499. 38 indexed citations
6.
Saxton, Michael J.. (2009). Percolation Thresholds for Diffusing Particles of Nonzero Radius: Circular Obstacles in the Two-dimensional Continuum. Biophysical Journal. 96(3). 152a–152a. 1 indexed citations
7.
Saxton, Michael J.. (2007). Modeling 2D and 3D Diffusion. Methods in molecular biology. 400. 295–321. 41 indexed citations
8.
Ng, Yuen‐Keng, Xinghua Lu, Alexandra Gulácsi, et al.. (2003). Unexpected Mobility Variation among Individual Secretory Vesicles Produces an Apparent Refractory Neuropeptide Pool. Biophysical Journal. 84(6). 4127–4134. 22 indexed citations
9.
Saxton, Michael J.. (2001). Anomalous Subdiffusion in Fluorescence Photobleaching Recovery: A Monte Carlo Study. Biophysical Journal. 81(4). 2226–2240. 233 indexed citations
10.
Breidenbach, R. W., Michael J. Saxton, Lee D. Hansen, & Richard S. Criddle. (1997). Heat Generation and Dissipation in Plants: Can the Alternative Oxidative Phosphorylation Pathway Serve a Thermoregulatory Role in Plant Tissues Other Than Specialized Organs?. PLANT PHYSIOLOGY. 114(4). 1137–1140. 53 indexed citations
11.
Saxton, Michael J.. (1994). Single-particle tracking: models of directed transport. Biophysical Journal. 67(5). 2110–2119. 76 indexed citations
12.
Saxton, Michael J.. (1993). Lateral diffusion in an archipelago. Single-particle diffusion. Biophysical Journal. 64(6). 1766–1780. 234 indexed citations
13.
Saxton, Michael J.. (1993). Lateral diffusion in an archipelago. Dependence on tracer size. Biophysical Journal. 64(4). 1053–1062. 90 indexed citations
14.
Saxton, Michael J.. (1992). Lateral diffusion and aggregation. A Monte Carlo study. Biophysical Journal. 61(1). 119–128. 62 indexed citations
15.
Saxton, Michael J.. (1990). The membrane skeleton of erythrocytes. A percolation model. Biophysical Journal. 57(6). 1167–1177. 56 indexed citations
16.
Saxton, Michael J.. (1990). Lateral diffusion in a mixture of mobile and immobile particles. A Monte Carlo study. Biophysical Journal. 58(5). 1303–1306. 58 indexed citations
17.
Saxton, Michael J.. (1989). The spectrin network as a barrier to lateral diffusion in erythrocytes. A percolation analysis. Biophysical Journal. 55(1). 21–28. 62 indexed citations
18.
Saxton, Michael J.. (1989). Lateral diffusion in an archipelago. Distance dependence of the diffusion coefficient. Biophysical Journal. 56(3). 615–622. 112 indexed citations
19.
Saxton, Michael J. & John C. Owicki. (1989). Concentration effects on reactions in membranes: rhodopsin and transducin. Biochimica et Biophysica Acta (BBA) - Biomembranes. 979(1). 27–34. 20 indexed citations
20.
Saxton, Michael J.. (1987). Lateral diffusion in an archipelago. The effect of mobile obstacles. Biophysical Journal. 52(6). 989–997. 191 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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