Ryan D. McCurdy

679 total citations
12 papers, 560 citations indexed

About

Ryan D. McCurdy is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Ryan D. McCurdy has authored 12 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 6 papers in Electrical and Electronic Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Ryan D. McCurdy's work include Graphene research and applications (10 papers), Molecular Junctions and Nanostructures (5 papers) and Surface Chemistry and Catalysis (4 papers). Ryan D. McCurdy is often cited by papers focused on Graphene research and applications (10 papers), Molecular Junctions and Nanostructures (5 papers) and Surface Chemistry and Catalysis (4 papers). Ryan D. McCurdy collaborates with scholars based in United States, Switzerland and Poland. Ryan D. McCurdy's co-authors include Felix R. Fischer, Michael F. Crommie, Steven G. Louie, Jingwei Jiang, Gregory Veber, Daniel J. Rizzo, Kristofer L. Marsh, Richard B. Kaner, Saeed I. Khan and Yves Rubin and has published in prestigious journals such as Science, Journal of the American Chemical Society and ACS Nano.

In The Last Decade

Ryan D. McCurdy

12 papers receiving 556 citations

Peers

Ryan D. McCurdy
Timothy H. Vo United States
Zechao Yang Germany
Zachary P. L. Laker United Kingdom
Luc Piot France
Uliana Beser Germany
Zhun Ma China
Ryan D. McCurdy
Citations per year, relative to Ryan D. McCurdy Ryan D. McCurdy (= 1×) peers Rodrigo Cezar de Campos Ferreira

Countries citing papers authored by Ryan D. McCurdy

Since Specialization
Citations

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

Fields of papers citing papers by Ryan D. McCurdy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan D. McCurdy. 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 Ryan D. McCurdy. The network helps show where Ryan D. McCurdy may publish in the future.

Co-authorship network of co-authors of Ryan D. McCurdy

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

All Works

12 of 12 papers shown
1.
Daugherty, Michael C., Peter H. Jacobse, Jingwei Jiang, et al.. (2024). Regioselective On-Surface Synthesis of [3]Triangulene Graphene Nanoribbons. Journal of the American Chemical Society. 146(23). 15879–15886. 9 indexed citations
2.
McCurdy, Ryan D., Jingwei Jiang, Raymond Blackwell, et al.. (2023). Engineering Robust Metallic Zero-Mode States in Olympicene Graphene Nanoribbons. Journal of the American Chemical Society. 145(28). 15162–15170. 8 indexed citations
3.
Jacobse, Peter H., Michael C. Daugherty, Ryan D. McCurdy, et al.. (2023). Five-Membered Rings Create Off-Zero Modes in Nanographene. ACS Nano. 17(24). 24901–24909. 5 indexed citations
4.
Jacobse, Peter H., Jingwei Jiang, Ryan D. McCurdy, et al.. (2022). Magnetic Interactions in Substitutional Core-Doped Graphene Nanoribbons. Journal of the American Chemical Society. 144(30). 13696–13703. 39 indexed citations
5.
McCurdy, Ryan D., Peter H. Jacobse, Ilya Piskun, et al.. (2021). Synergetic Bottom-Up Synthesis of Graphene Nanoribbons by Matrix-Assisted Direct Transfer. Journal of the American Chemical Society. 143(11). 4174–4178. 29 indexed citations
6.
Mutlu, Zafer, Peter H. Jacobse, Ryan D. McCurdy, et al.. (2021). Bottom‐Up Synthesized Nanoporous Graphene Transistors. Advanced Functional Materials. 31(47). 27 indexed citations
7.
Mutlu, Zafer, Ryan D. McCurdy, Juan Pablo Llinas, et al.. (2021). Bottom‐Up Synthesized Nanoporous Graphene Transistors (Adv. Funct. Mater. 47/2021). Advanced Functional Materials. 31(47). 2 indexed citations
8.
Rizzo, Daniel J., Gregory Veber, Jingwei Jiang, et al.. (2020). Data for figures: Inducing Metallicity in Graphene Nanoribbons via Zero-Mode Superlattices. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
McCurdy, Ryan D., Jingwei Jiang, Daniel J. Rizzo, et al.. (2020). Bottom-up Assembly of Nanoporous Graphene with Emergent Electronic States. Journal of the American Chemical Society. 142(31). 13507–13514. 106 indexed citations
10.
Rizzo, Daniel J., Gregory Veber, Jingwei Jiang, et al.. (2020). Inducing metallicity in graphene nanoribbons via zero-mode superlattices. Science. 369(6511). 1597–1603. 167 indexed citations
11.
Lin, Cheng‐Wei, Ryan D. McCurdy, Janice B. Lin, et al.. (2017). Synthesis of N = 8 Armchair Graphene Nanoribbons from Four Distinct Polydiacetylenes. Journal of the American Chemical Society. 139(44). 15878–15890. 81 indexed citations
12.
Wang, Yue, Ryan D. McCurdy, Michael T. Yeung, et al.. (2016). Synthesis of Graphene Nanoribbons via the Topochemical Polymerization and Subsequent Aromatization of a Diacetylene Precursor. Chem. 1(1). 78–90. 86 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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