Bryan S. Tucker

886 total citations
9 papers, 799 citations indexed

About

Bryan S. Tucker is a scholar working on Organic Chemistry, Biomaterials and Surfaces, Coatings and Films. According to data from OpenAlex, Bryan S. Tucker has authored 9 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 3 papers in Biomaterials and 3 papers in Surfaces, Coatings and Films. Recurrent topics in Bryan S. Tucker's work include Advanced Polymer Synthesis and Characterization (5 papers), Polymer Surface Interaction Studies (3 papers) and Hydrogels: synthesis, properties, applications (2 papers). Bryan S. Tucker is often cited by papers focused on Advanced Polymer Synthesis and Characterization (5 papers), Polymer Surface Interaction Studies (3 papers) and Hydrogels: synthesis, properties, applications (2 papers). Bryan S. Tucker collaborates with scholars based in United States, United Kingdom and Australia. Bryan S. Tucker's co-authors include Brent S. Sumerlin, C. Adrian Figg, Alexandre Simula, David M. Haddleton, McKenzie L. Coughlin, R. Nicholas Carmean, Cyrille Boyer, Georg M. Scheutz, Sivaprakash Shanmugam and Megan R. Hill and has published in prestigious journals such as Macromolecules, Journal of Materials Chemistry and Biomacromolecules.

In The Last Decade

Bryan S. Tucker

9 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan S. Tucker United States 9 627 287 221 193 148 9 799
Julien Poly France 15 733 1.2× 299 1.0× 110 0.5× 126 0.7× 155 1.0× 24 883
Chundong Huang China 13 762 1.2× 362 1.3× 179 0.8× 281 1.5× 158 1.1× 28 921
Jinhui Jiang China 13 358 0.6× 236 0.8× 271 1.2× 129 0.7× 161 1.1× 21 661
Lican Lu China 14 815 1.3× 305 1.1× 152 0.7× 157 0.8× 153 1.0× 20 919
Nikos Petzetakis United Kingdom 11 691 1.1× 398 1.4× 338 1.5× 173 0.9× 119 0.8× 12 914
Christopher Waldron United Kingdom 14 1.2k 1.9× 447 1.6× 214 1.0× 318 1.6× 264 1.8× 16 1.4k
Nikolaos G. Engelis United Kingdom 10 741 1.2× 247 0.9× 138 0.6× 122 0.6× 174 1.2× 10 845
Joji Tanaka United States 18 467 0.7× 194 0.7× 171 0.8× 98 0.5× 148 1.0× 42 755
Fabrice Audouin Ireland 16 396 0.6× 311 1.1× 175 0.8× 232 1.2× 110 0.7× 20 726
Nicky Chan Canada 13 458 0.7× 152 0.5× 195 0.9× 115 0.6× 227 1.5× 20 620

Countries citing papers authored by Bryan S. Tucker

Since Specialization
Citations

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

Fields of papers citing papers by Bryan S. Tucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan S. Tucker. 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 Bryan S. Tucker. The network helps show where Bryan S. Tucker may publish in the future.

Co-authorship network of co-authors of Bryan S. Tucker

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

All Works

9 of 9 papers shown
1.
Figg, C. Adrian, Georg M. Scheutz, Sivaprakash Shanmugam, et al.. (2018). Color-Coding Visible Light Polymerizations To Elucidate the Activation of Trithiocarbonates Using Eosin Y. Macromolecules. 51(4). 1370–1376. 140 indexed citations
2.
Sun, Hao, Christopher P. Kabb, Bryan S. Tucker, et al.. (2017). Poly(N-(2-hydroxypropyl)methacrylamide)–valproic acid conjugates as block copolymer nanocarriers. Polymer Chemistry. 8(34). 4983–4987. 27 indexed citations
3.
Figg, C. Adrian, et al.. (2017). Mild and efficient synthesis of ω,ω-heterodifunctionalized polymers and polymer bioconjugates. Polymer Chemistry. 8(16). 2457–2461. 11 indexed citations
4.
Tucker, Bryan S., McKenzie L. Coughlin, C. Adrian Figg, & Brent S. Sumerlin. (2017). Grafting-From Proteins Using Metal-Free PET–RAFT Polymerizations under Mild Visible-Light Irradiation. ACS Macro Letters. 6(4). 452–457. 147 indexed citations
5.
Tucker, Bryan S., Jon D. Stewart, J. Ignacio Aguirre, et al.. (2015). Role of Polymer Architecture on the Activity of Polymer–Protein Conjugates for the Treatment of Accelerated Bone Loss Disorders. Biomacromolecules. 16(8). 2374–2381. 25 indexed citations
6.
Tucker, Bryan S., et al.. (2015). Facile synthesis of drug-conjugated PHPMA core-crosslinked star polymers. Polymer Chemistry. 6(23). 4258–4263. 45 indexed citations
7.
Figg, C. Adrian, et al.. (2014). Polymerization-induced thermal self-assembly (PITSA). Chemical Science. 6(2). 1230–1236. 313 indexed citations
8.
Tucker, Bryan S. & Brent S. Sumerlin. (2013). Poly(N-(2-hydroxypropyl) methacrylamide)-based nanotherapeutics. Polymer Chemistry. 5(5). 1566–1572. 73 indexed citations
9.
Raymond, Jeffery E., et al.. (2012). Thiol-ene “click” networks from amphiphilic fluoropolymers: full synthesis and characterization of a benchmark anti-biofouling surface. Journal of Materials Chemistry. 22(37). 19462–19462. 18 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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