Dexter M. Easton

644 total citations
30 papers, 493 citations indexed

About

Dexter M. Easton is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Aquatic Science. According to data from OpenAlex, Dexter M. Easton has authored 30 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Aquatic Science. Recurrent topics in Dexter M. Easton's work include Neural dynamics and brain function (3 papers), Insurance, Mortality, Demography, Risk Management (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Dexter M. Easton is often cited by papers focused on Neural dynamics and brain function (3 papers), Insurance, Mortality, Demography, Risk Management (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Dexter M. Easton collaborates with scholars based in United States. Dexter M. Easton's co-authors include Kerry Bradley, J. C. Eccles, R. W. Beuerman, John Hines, Henry R. Hirsch, Kenneth J. Friedman, Martin H. Schneiderman, Harry Lipner, Robley J. Light and Marshall Nash and has published in prestigious journals such as Science, The Journal of Physiology and Analytical Biochemistry.

In The Last Decade

Dexter M. Easton

29 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dexter M. Easton United States 12 216 142 61 57 50 30 493
Yoshiaki Washizu United States 12 440 2.0× 228 1.6× 56 0.9× 131 2.3× 31 0.6× 23 626
Ernst G. Huf United States 14 131 0.6× 232 1.6× 88 1.4× 36 0.6× 14 0.3× 40 536
Henrik Wallgren Finland 18 412 1.9× 227 1.6× 154 2.5× 62 1.1× 39 0.8× 51 898
T. U. Biber United States 18 228 1.1× 551 3.9× 94 1.5× 46 0.8× 28 0.6× 35 966
Isao Inoue Japan 14 161 0.7× 221 1.6× 55 0.9× 89 1.6× 17 0.3× 31 624
Michael D. Miyamoto United States 12 396 1.8× 403 2.8× 59 1.0× 46 0.8× 86 1.7× 25 677
Charles F. Ehret United States 16 99 0.5× 246 1.7× 69 1.1× 42 0.7× 23 0.5× 33 591
Shigeru Tsuji France 15 409 1.9× 384 2.7× 39 0.6× 46 0.8× 104 2.1× 75 902
Ernest Schoffeniels Belgium 16 165 0.8× 225 1.6× 52 0.9× 15 0.3× 33 0.7× 30 777
Akira Warashina Japan 15 339 1.6× 432 3.0× 63 1.0× 19 0.3× 59 1.2× 54 638

Countries citing papers authored by Dexter M. Easton

Since Specialization
Citations

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

Fields of papers citing papers by Dexter M. Easton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dexter M. Easton. 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 Dexter M. Easton. The network helps show where Dexter M. Easton may publish in the future.

Co-authorship network of co-authors of Dexter M. Easton

This figure shows the co-authorship network connecting the top 25 collaborators of Dexter M. Easton. A scholar is included among the top collaborators of Dexter M. Easton 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 Dexter M. Easton. Dexter M. Easton 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.
Easton, Dexter M.. (2009). Complementary Gompertz Survival Models: Decreasing Alive Versus Increasing Dead. The Journals of Gerontology Series A. 64A(5). 550–555. 3 indexed citations
2.
Easton, Dexter M. & Henry R. Hirsch. (2008). For prediction of elder survival by a Gompertz model, number dead is preferable to number alive. AGE. 30(4). 311–317. 7 indexed citations
3.
Easton, Dexter M.. (2005). Gompertz kinetics model of fast chemical neurotransmission currents. Synapse. 58(1). 53–61. 1 indexed citations
4.
Easton, Dexter M.. (2005). Gompertzian growth and decay: A powerful descriptive tool for neuroscience. Physiology & Behavior. 86(3). 407–414. 14 indexed citations
5.
Easton, Dexter M.. (2005). VOLTAGE-CLAMP PREDICTIONS BY GOMPERTZ KINETICS MODEL RELATING SQUID-AXON NA+-GATING AND IONIC CURRENTS. International Journal of Neuroscience. 115(10). 1415–1441. 3 indexed citations
6.
Easton, Dexter M.. (2002). Gompertz Pharmacokinetic Model for Drug Disposition. Pharmaceutical Research. 19(4). 463–469. 10 indexed citations
7.
Easton, Dexter M.. (1999). X-Ray Survival as Gompertz Growth in Number Killed. Journal of Theoretical Biology. 196(1). 1–8. 3 indexed citations
8.
Easton, Dexter M.. (1997). Gompertz growth in number dead confirms medflies and nematodes show excess oldster survival. Experimental Gerontology. 32(6). 719–726. 5 indexed citations
9.
Easton, Dexter M.. (1996). Muscle chamber with strain gauge adapted for isotonic/isometric recording.. AJP Advances in Physiology Education. 270(6). S29–S29. 1 indexed citations
10.
Easton, Dexter M.. (1993). Simple, inexpensive suction electrode system for the student physiology laboratory.. AJP Advances in Physiology Education. 265(6). S35–S35. 7 indexed citations
11.
Easton, Dexter M.. (1988). Mathematical model of cardiac mechanogram rhythmicity (based on mollusc heart). Comparative Biochemistry and Physiology Part C Comparative Pharmacology. 91(1). 91–98. 1 indexed citations
12.
Easton, Dexter M. & Martin H. Schneiderman. (1987). Prediction of X‐ray induced mitotic delay and recovery of G2 cells. Cell Proliferation. 20(4). 379–386. 3 indexed citations
13.
Easton, Dexter M.. (1978). Exponentiated exponential model (Gompertz kinetics) of Na+ and K+ conductance changes in squid giant axon. Biophysical Journal. 22(1). 15–28. 12 indexed citations
14.
Easton, Dexter M.. (1971). Garfish Olfactory Nerve: Easily Accessible Source of Numerous Long, Homogeneous, Nonmyelinated Axons. Science. 172(3986). 952–955. 75 indexed citations
15.
Hines, John & Dexter M. Easton. (1971). EFFLUX OF ENDOGENOUS PROTEIN FROM NON‐MYELINATED OLFACTORY NERVE AS MONITORED BY TRYPTOPHAN FLUORESCENCE. Journal of Neurochemistry. 18(11). 2155–2169. 4 indexed citations
16.
Light, Robley J. & Dexter M. Easton. (1967). Saponifiable fatty acids of myelinated and unmyelinated nerve fibres of the garfish*. Journal of Neurochemistry. 14(1). 141–142. 4 indexed citations
17.
Easton, Dexter M.. (1965). Impulses at the Artifactual Nerve End. Cold Spring Harbor Symposia on Quantitative Biology. 30(0). 15–28. 34 indexed citations
18.
Easton, Dexter M.. (1956). Dependence of Intracellular End-Plate Action Potential on Adjacent Fiber Activity. American Journal of Physiology-Legacy Content. 187(1). 199–202. 1 indexed citations
19.
Easton, Dexter M.. (1955). INTRACELLULAR ACTION POTENTIALS MODIFIED AT MUSCLE END-PLATE BY ADJACENT FIBER ACTIVITY. Journal of Neurophysiology. 18(4). 375–387. 12 indexed citations
20.
Easton, Dexter M.. (1952). Excitability related to spike size in crab nerve fibers. Journal of Cellular and Comparative Physiology. 40(2). 303–315. 5 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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