Dwayne Dunaway

4.2k total citations
9 papers, 158 citations indexed

About

Dwayne Dunaway is a scholar working on Molecular Biology, Biomaterials and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dwayne Dunaway has authored 9 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Biomaterials and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dwayne Dunaway's work include Silk-based biomaterials and applications (3 papers), Force Microscopy Techniques and Applications (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). Dwayne Dunaway is often cited by papers focused on Silk-based biomaterials and applications (3 papers), Force Microscopy Techniques and Applications (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). Dwayne Dunaway collaborates with scholars based in United States, Russia and United Kingdom. Dwayne Dunaway's co-authors include Mark Fauver, Gerald H. Pollack, Christopher Viney, B. L. Thiel, H. G. Craighead, Kenneth R. Diller, Sarah Warren, Jaemyeong Jung, Fiona Pakiam and Joseph Beechem and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Biophysical Journal.

In The Last Decade

Dwayne Dunaway

9 papers receiving 155 citations

Peers

Dwayne Dunaway

BIOMA

AMPO

BE

MB

IS

A. Pasha Tabatabai United States

Archana Kumari India

Y. Hirayama Japan

Maxwell Zimmerley United States

L. D. Yates United States

Markus Schomaker Germany

Tatiana Avsievich Finland

Gwonchan Yoon South Korea

Szu-Yu Chen Taiwan

Penny L. Moore United States

A. Pasha Tabatabai United States

Dwayne Dunaway

99 ×2.0

BIOMA

38 ×0.8

AMPO

105 ×2.4

BE

55 ×1.5

MB

14 ×0.4

IS

Citations per year, relative to Dwayne Dunaway Dwayne Dunaway (= 1×) peers A. Pasha Tabatabai

Countries citing papers authored by Dwayne Dunaway

Since Specialization

Citations

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

Fields of papers citing papers by Dwayne Dunaway

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dwayne Dunaway. 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 Dwayne Dunaway. The network helps show where Dwayne Dunaway may publish in the future.

Co-authorship network of co-authors of Dwayne Dunaway

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

All Works

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9 of 9 papers shown

1.

Merritt, Chris, Jaemyeong Jung, Giang T. Ong, et al.. (2017). Abstract 3955: Spatially resolved, multiplexed digital characterization of protein and mRNA distribution and abundance in formalin-fixed, paraffin-embedded (FFPE) tissue sections based on NanoString’s Digital Spatial Profiling (DSP) technology: applications to immuno-oncology (IO) and tumor heterogeneity. Cancer Research. 77(13_Supplement). 3955–3955. 2 indexed citations

2.

Lee, David, Yan Liang, Chris Merritt, et al.. (2017). A new approach for immuno-oncology biomarker discovery: High-plex, spatial protein profiling based on NanoString digital quantification.. Journal of Clinical Oncology. 35(7_suppl). 27–27. 4 indexed citations

3.

Cesano, Alessandra, Joseph Beechem, Philippa Webster, et al.. (2016). Abstract 1371: Spatially-resolved, multiplexed digital characterization of protein distribution and abundance in FFPE tissue sections. Cancer Research. 76(14_Supplement). 1371–1371. 1 indexed citations

4.

Dunaway, Dwayne, Mark Fauver, & Gerald H. Pollack. (2002). Direct Measurement of Single Synthetic Vertebrate Thick Filament Elasticity Using Nanofabricated Cantilevers. Biophysical Journal. 82(6). 3128–3133. 21 indexed citations

5.

Fauver, Mark, et al.. (1998). Microfabricated cantilevers for measurement of subcellular and molecular forces. IEEE Transactions on Biomedical Engineering. 45(7). 891–898. 73 indexed citations

6.

Dunaway, Dwayne, B. L. Thiel, & Christopher Viney. (1995). Tensile mechanical property evaluation of natural and epoxide‐treated silk fibers. Journal of Applied Polymer Science. 58(3). 675–683. 36 indexed citations

7.

Dunaway, Dwayne, et al.. (1995). Characterizing the cross-sectional geometry of thin, non-cylindrical, twisted fibres (spider silk). Journal of Materials Science. 30(16). 4161–4170. 17 indexed citations

8.

Viney, Christopher, et al.. (1992). Processing Natural and Reconstituted Silk Solutions Under Equilibrium and Non-Equilibrium Conditions. MRS Proceedings. 292. 1 indexed citations

9.

Diller, Kenneth R. & Dwayne Dunaway. (1991). Network thermodynamic analysis of vasomotion in a microvascular network. Biorheology. 28(5). 369–382. 3 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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