J. Ray Runyon

1.1k total citations
26 papers, 785 citations indexed

About

J. Ray Runyon is a scholar working on Computational Mechanics, Physical and Theoretical Chemistry and Spectroscopy. According to data from OpenAlex, J. Ray Runyon has authored 26 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 5 papers in Physical and Theoretical Chemistry and 5 papers in Spectroscopy. Recurrent topics in J. Ray Runyon's work include Field-Flow Fractionation Techniques (10 papers), Analytical Chemistry and Chromatography (5 papers) and thermodynamics and calorimetric analyses (5 papers). J. Ray Runyon is often cited by papers focused on Field-Flow Fractionation Techniques (10 papers), Analytical Chemistry and Chromatography (5 papers) and thermodynamics and calorimetric analyses (5 papers). J. Ray Runyon collaborates with scholars based in United States, Sweden and India. J. Ray Runyon's co-authors include S. Kim Ratanathanawongs Williams, L. H. Tung, Lars Nilsson, R.D. Sanderson, Tino Otte, Harald Pasch, Akram Ashames, J. F. Rudd, Björn Bergenståhl and Matilda Ulmius and has published in prestigious journals such as Analytical Chemistry, Progress in Polymer Science and Water Resources Research.

In The Last Decade

J. Ray Runyon

23 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Ray Runyon United States 14 258 166 159 111 101 26 785
Athanasia Koliadima Greece 16 211 0.8× 112 0.7× 187 1.2× 117 1.1× 79 0.8× 69 743
Taichang Zhang China 22 453 1.8× 261 1.6× 191 1.2× 262 2.4× 71 0.7× 43 1.3k
George Karaiskakis Greece 22 368 1.4× 312 1.9× 521 3.3× 160 1.4× 119 1.2× 59 1.1k
Atitaya Siripinyanond Thailand 21 293 1.1× 390 2.3× 134 0.8× 280 2.5× 54 0.5× 82 1.5k
N. Pilpel United Kingdom 26 348 1.3× 135 0.8× 116 0.7× 313 2.8× 49 0.5× 115 1.9k
Alain Chamayou France 18 119 0.5× 111 0.7× 72 0.5× 191 1.7× 45 0.4× 45 936
Kayori Takahashi Japan 16 68 0.3× 233 1.4× 150 0.9× 304 2.7× 49 0.5× 38 772
Wilfried Szymczak Germany 16 168 0.7× 268 1.6× 171 1.1× 126 1.1× 12 0.1× 34 815
Gebrenegus Yohannes Finland 16 209 0.8× 135 0.8× 52 0.3× 51 0.5× 119 1.2× 24 649
Ian M. Grimsey United Kingdom 14 98 0.4× 79 0.5× 212 1.3× 267 2.4× 46 0.5× 22 733

Countries citing papers authored by J. Ray Runyon

Since Specialization
Citations

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

Fields of papers citing papers by J. Ray Runyon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Ray Runyon

This figure shows the co-authorship network connecting the top 25 collaborators of J. Ray Runyon. A scholar is included among the top collaborators of J. Ray Runyon 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 J. Ray Runyon. J. Ray Runyon 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.
2.
Runyon, J. Ray, Myeounggon Lee, Courtney C. Babbitt, et al.. (2025). Decoding Precision Aging: The Intersection of Cognitive Decline, Frailty, and Hormonal Biomarkers. Gerontology. 71(7). 564–575.
3.
Runyon, J. Ray, et al.. (2024). Is Greener Better? Quantifying the Impact of a Nature Walk on Stress Reduction Using HRV and Saliva Cortisol Biomarkers. International Journal of Environmental Research and Public Health. 21(11). 1491–1491. 1 indexed citations
4.
Runyon, J. Ray, Min Jia, Michael R. Goldstein, et al.. (2023). Dynamic Behavior of Cortisol and Cortisol Metabolites in Human Eccrine Sweat. International Journal of Prognostics and Health Management. 10(3). 2 indexed citations
5.
Runyon, J. Ray, et al.. (2015). The effect of heat treatment on the soluble protein content of oats. Journal of Cereal Science. 65. 119–124. 54 indexed citations
6.
Runyon, J. Ray, et al.. (2015). Analysis of polysaccharide and proteinaceous macromolecules in beer using asymmetrical flow field-flow fractionation. Journal of the Institute of Brewing. 121(1). 44–48. 18 indexed citations
7.
Runyon, J. Ray, et al.. (2013). Characterization of oat proteins and aggregates using asymmetric flow field-flow fractionation. Analytical and Bioanalytical Chemistry. 405(21). 6649–6655. 20 indexed citations
8.
Runyon, J. Ray, Lars Nilsson, Matilda Ulmius, et al.. (2013). Characterizing changes in levan physicochemical properties in different pH environments using asymmetric flow field-flow fractionation. Analytical and Bioanalytical Chemistry. 406(6). 1597–1605. 30 indexed citations
9.
Runyon, J. Ray, et al.. (2012). Preparation of Narrow Dispersity Gold Nanorods by Asymmetrical Flow Field-Flow Fractionation and Investigation of Surface Plasmon Resonance. Analytical Chemistry. 85(2). 940–948. 21 indexed citations
10.
Runyon, J. Ray & S. Kim Ratanathanawongs Williams. (2011). Composition and molecular weight analysis of styrene-acrylic copolymers using thermal field-flow fractionation. Journal of Chromatography A. 1218(38). 6774–6779. 34 indexed citations
11.
Runyon, J. Ray & S. Kim Ratanathanawongs Williams. (2011). A theory-based approach to thermal field-flow fractionation of polyacrylates. Journal of Chromatography A. 1218(39). 7016–7022. 14 indexed citations
12.
Williams, S. Kim Ratanathanawongs, J. Ray Runyon, & Akram Ashames. (2010). Field-Flow Fractionation: Addressing the Nano Challenge. Analytical Chemistry. 83(3). 634–642. 88 indexed citations
13.
Sanderson, R.D., et al.. (2009). An overview on field-flow fractionation techniques and their applications in the separation and characterization of polymers. Progress in Polymer Science. 34(4). 351–368. 206 indexed citations
14.
Runyon, J. Ray. (2008). Thermal field-flow fractionation of polymers with high molecular weight and complex architectures. Digital Collections of Colorado (Colorado State University). 2 indexed citations
15.
Runyon, J. Ray, Anja Noti, & Koni Grob. (2002). Isolation of the <1000 dalton migrants from food packaging materials by size exclusion chromatography (SEC). E-Periodica. 1 indexed citations
16.
Runyon, J. Ray. (1971). A Direct GPC Calibration for Low Molecular Weight Polybutadiene, Employing Dual Detectors. Separation Science. 6(2). 249–257. 4 indexed citations
17.
Runyon, J. Ray, et al.. (1969). Multiple detectors for molecular weight and composition analysis of copolymers by gel permeation chromatography. Journal of Applied Polymer Science. 13(11). 2359–2369. 94 indexed citations
18.
Tung, L. H. & J. Ray Runyon. (1969). Calibration of instrumental spreading for GPC. Journal of Applied Polymer Science. 13(11). 2397–2409. 87 indexed citations
19.
Jones, Giffin D., et al.. (1968). Isoprene chlorination. The Journal of Organic Chemistry. 33(7). 2946–2951. 2 indexed citations
20.
Jones, Giffin D., J. Ray Runyon, & J. Ong. (1961). Isobutylene copolymers of vinylbenzyl chloride and isopropenylbenzyl chloride. Journal of Applied Polymer Science. 5(16). 452–459. 10 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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