Dylan J. Walsh

1.6k total citations
30 papers, 1.3k citations indexed

About

Dylan J. Walsh is a scholar working on Organic Chemistry, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Dylan J. Walsh has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Organic Chemistry, 12 papers in Materials Chemistry and 9 papers in Biomedical Engineering. Recurrent topics in Dylan J. Walsh's work include Advanced Polymer Synthesis and Characterization (10 papers), Machine Learning in Materials Science (7 papers) and Block Copolymer Self-Assembly (6 papers). Dylan J. Walsh is often cited by papers focused on Advanced Polymer Synthesis and Characterization (10 papers), Machine Learning in Materials Science (7 papers) and Block Copolymer Self-Assembly (6 papers). Dylan J. Walsh collaborates with scholars based in United States, Ukraine and Brazil. Dylan J. Walsh's co-authors include Damien Guironnet, Michael G. Hyatt, Charles E. Sing, Bijal B. Patel, Ying Diao, Sarit Dutta, Justin J. Kwok, Robert A. Schneider, Do Hoon Kim and N.B. Graham and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Dylan J. Walsh

29 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dylan J. Walsh United States 18 850 354 266 261 217 30 1.3k
Alaina J. McGrath United States 19 854 1.0× 339 1.0× 217 0.8× 217 0.8× 204 0.9× 30 1.2k
Damien Guironnet United States 25 1.7k 1.9× 426 1.2× 426 1.6× 351 1.3× 310 1.4× 55 2.3k
Justin G. Kennemur United States 17 749 0.9× 436 1.2× 269 1.0× 145 0.6× 251 1.2× 45 1.2k
Stefan J. Pastine United States 18 1.6k 1.8× 274 0.8× 111 0.4× 217 0.8× 231 1.1× 31 2.3k
Friedrich Georg Schmidt Germany 18 933 1.1× 342 1.0× 273 1.0× 234 0.9× 697 3.2× 37 1.4k
Kim K. Oehlenschlaeger Germany 16 851 1.0× 357 1.0× 213 0.8× 263 1.0× 555 2.6× 17 1.2k
Bart Verbraeken Belgium 21 912 1.1× 218 0.6× 610 2.3× 204 0.8× 479 2.2× 35 1.5k
Kevin De Bruycker Belgium 21 859 1.0× 338 1.0× 245 0.9× 226 0.9× 577 2.7× 32 1.4k
Stefan Hilf Germany 19 1.1k 1.3× 279 0.8× 260 1.0× 129 0.5× 620 2.9× 21 1.4k
Renzo M. Paulus Netherlands 23 1.1k 1.2× 287 0.8× 400 1.5× 282 1.1× 505 2.3× 31 1.5k

Countries citing papers authored by Dylan J. Walsh

Since Specialization
Citations

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

Fields of papers citing papers by Dylan J. Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dylan J. Walsh

This figure shows the co-authorship network connecting the top 25 collaborators of Dylan J. Walsh. A scholar is included among the top collaborators of Dylan J. Walsh 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 Dylan J. Walsh. Dylan J. Walsh 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.
Abdulghani, Abdullah J. Al, Dylan J. Walsh, James B. Gerken, et al.. (2025). Can the Hock Process Be Used to Produce Phenol from Polystyrene?. Journal of the American Chemical Society. 147(10). 8687–8694. 5 indexed citations
2.
Shi, Jiale, Dylan J. Walsh, Weizhong Zou, et al.. (2024). Calculating Pairwise Similarity of Polymer Ensembles via Earth Mover’s Distance. SHILAP Revista de lepidopterología. 4(1). 66–76. 4 indexed citations
3.
Walsh, Dylan J., Weizhong Zou, Ludwig Schneider, et al.. (2023). Community Resource for Innovation in Polymer Technology (CRIPT): A Scalable Polymer Material Data Structure. ACS Central Science. 9(3). 330–338. 40 indexed citations
4.
Av-Ron, Sarah, et al.. (2023). High-throughput experimentation for discovery of biodegradable polyesters. Proceedings of the National Academy of Sciences. 120(23). e2220021120–e2220021120. 35 indexed citations
5.
Schneider, Ludwig, Dylan J. Walsh, Bradley D. Olsen, & Juan Pablo. (2023). Generative BigSMILES: an extension for polymer informatics, computer simulations & ML/AI. Digital Discovery. 3(1). 51–61. 23 indexed citations
6.
Camino‐Mogro, Segundo, et al.. (2023). Green transition and gender bias: An analysis of renewable energy generation companies in Latin America. Energy Research & Social Science. 101. 103151–103151. 9 indexed citations
7.
Lin, Tzyy‐Shyang, et al.. (2023). Machine Translation between BigSMILES Line Notation and Chemical Structure Diagrams. Macromolecules. 57(1). 42–53. 10 indexed citations
8.
Walsh, Dylan J., et al.. (2022). Design and simulation of a uniform irradiance photochemical platform. Reaction Chemistry & Engineering. 8(2). 416–423. 4 indexed citations
9.
Walsh, Dylan J., Debra J. Audus, Juan Pablo, et al.. (2022). Networks and interfaces as catalysts for polymer materials innovation. Cell Reports Physical Science. 3(11). 101126–101126. 7 indexed citations
10.
Walsh, Dylan J., et al.. (2022). Precision of Architecture-Controlled Bottlebrush Polymer Synthesis: A Monte Carlo Analysis. Macromolecules. 55(23). 10255–10263. 9 indexed citations
11.
Patel, Bijal B., Dylan J. Walsh, Do Hoon Kim, et al.. (2022). Rapid, interface-driven domain orientation in bottlebrush diblock copolymer films during thermal annealing. Soft Matter. 18(8). 1666–1677. 10 indexed citations
12.
Patel, Bijal B., Dylan J. Walsh, Sarit Dutta, et al.. (2021). Implicit Side-Chain Model and Experimental Characterization of Bottlebrush Block Copolymer Solution Assembly. Macromolecules. 54(8). 3620–3633. 18 indexed citations
13.
Walsh, Dylan J., et al.. (2020). General route to design polymer molecular weight distributions through flow chemistry. Nature Communications. 11(1). 3094–3094. 117 indexed citations
14.
Walsh, Dylan J., et al.. (2020). Challenges of Size-Exclusion Chromatography for the Analysis of Bottlebrush Polymers. Macromolecules. 53(19). 8610–8620. 32 indexed citations
15.
Walsh, Dylan J., Ching-Wei Lee, Elizabeth G. Kelley, et al.. (2020). Color, structure, and rheology of a diblock bottlebrush copolymer solution. Soft Matter. 16(21). 4919–4931. 22 indexed citations
16.
Hyatt, Michael G., Dylan J. Walsh, Richard L. Lord, José G. Martínez, & Damien Guironnet. (2019). Mechanistic and Kinetic Studies of the Ring Opening Metathesis Polymerization of Norbornenyl Monomers by a Grubbs Third Generation Catalyst. Journal of the American Chemical Society. 141(44). 17918–17925. 66 indexed citations
17.
Walsh, Dylan J., et al.. (2019). Recent Trends in Catalytic Polymerizations. ACS Catalysis. 9(12). 11153–11188. 223 indexed citations
18.
Dutta, Sarit, et al.. (2019). Dilute solution structure of bottlebrush polymers. Soft Matter. 15(14). 2928–2941. 86 indexed citations
19.
Yan, Tianwei, et al.. (2018). One-Pot Synthesis of Block Copolymers Containing a Polyolefin Block. Macromolecules. 51(24). 10167–10173. 21 indexed citations
20.
Walsh, Dylan J.. (2013). Green Jobs for Ex-Offenders: The Urban Resource Initiative's “GreenSkills” Program. 6(1). 6–369. 1 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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