Ryan T. Shafranek

14 total papers · 677 total citations
10 papers, 565 citations indexed

About

Ryan T. Shafranek is a scholar working on Biomedical Engineering, Automotive Engineering and Biomaterials. According to data from OpenAlex, Ryan T. Shafranek has authored 10 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 4 papers in Automotive Engineering and 2 papers in Biomaterials. Recurrent topics in Ryan T. Shafranek's work include 3D Printing in Biomedical Research (7 papers), Additive Manufacturing and 3D Printing Technologies (4 papers) and Bone Tissue Engineering Materials (2 papers). Ryan T. Shafranek is often cited by papers focused on 3D Printing in Biomedical Research (7 papers), Additive Manufacturing and 3D Printing Technologies (4 papers) and Bone Tissue Engineering Materials (2 papers). Ryan T. Shafranek collaborates with scholars based in United States. Ryan T. Shafranek's co-authors include Alshakim Nelson, Patrick T. Smith, S. Cem Millik, Jonathan H. Tsui, Deok‐Ho Kim, Chang‐Uk Lee, Andrew J. Boydston, Yu Jung Shin, Abhijit Saha and Trevor G. Johnston and has published in prestigious journals such as Progress in Polymer Science, ACS Applied Materials & Interfaces and Acta Biomaterialia.

In The Last Decade

Ryan T. Shafranek

10 papers receiving 559 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ryan T. Shafranek 413 226 137 93 76 10 565
Mengke Ji 378 0.9× 189 0.8× 136 1.0× 112 1.2× 43 0.6× 11 626
Prachi Dhavalikar 474 1.1× 213 0.9× 140 1.0× 37 0.4× 70 0.9× 10 673
Oksana Y. Dudaryeva 369 0.9× 104 0.5× 142 1.0× 41 0.4× 71 0.9× 11 595
Archish Muralidharan 314 0.8× 244 1.1× 73 0.5× 61 0.7× 35 0.5× 13 526
Lang Xia 428 1.0× 241 1.1× 115 0.8× 216 2.3× 30 0.4× 13 568
Mike A. Geven 439 1.1× 205 0.9× 236 1.7× 25 0.3× 70 0.9× 24 674
Damian M. Kirchmajer 343 0.8× 163 0.7× 173 1.3× 58 0.6× 35 0.5× 8 575
Ludovic Serex 411 1.0× 107 0.5× 223 1.6× 48 0.5× 87 1.1× 10 609
Mattia Comotto 397 1.0× 66 0.3× 189 1.4× 54 0.6× 49 0.6× 9 616
Nevena Paunović 283 0.7× 244 1.1× 95 0.7× 73 0.8× 34 0.4× 14 515

Countries citing papers authored by Ryan T. Shafranek

Since Specialization
Citations

This map shows the geographic impact of Ryan T. Shafranek'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 T. Shafranek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Shafranek more than expected).

Fields of papers citing papers by Ryan T. Shafranek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan T. Shafranek

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

All Works

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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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