Ryan E. Eton

476 total citations
9 papers, 370 citations indexed

About

Ryan E. Eton is a scholar working on Surgery, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ryan E. Eton has authored 9 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 2 papers in Genetics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ryan E. Eton's work include Bone Tissue Engineering Materials (2 papers), Mesenchymal stem cell research (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Ryan E. Eton is often cited by papers focused on Bone Tissue Engineering Materials (2 papers), Mesenchymal stem cell research (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Ryan E. Eton collaborates with scholars based in United States and Portugal. Ryan E. Eton's co-authors include Gordana Vunjak‐Novakovic, Sarindr Bhumiratana, Leo Q. Wan, Gerard A. Ateshian, Sevan R. Oungoulian, Jeffrey M. Gimble, Jonathan Bernhard, Keith Yeager, Forum Shah and Mandi J. Lopez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PEDIATRICS and Annals of Surgery.

In The Last Decade

Ryan E. Eton

8 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan E. Eton United States 4 223 143 115 100 81 9 370
Liming Wang China 10 182 0.8× 111 0.8× 143 1.2× 74 0.7× 45 0.6× 16 377
Wenda Dai China 6 255 1.1× 129 0.9× 86 0.7× 171 1.7× 67 0.8× 12 410
Zheng Ci China 11 217 1.0× 137 1.0× 139 1.2× 125 1.3× 28 0.3× 22 403
Diana M. Yoon United States 10 174 0.8× 100 0.7× 91 0.8× 104 1.0× 45 0.6× 13 332
Rong Lv China 8 140 0.6× 121 0.8× 63 0.5× 72 0.7× 56 0.7× 18 283
Robert Thomas Brady Ireland 6 191 0.9× 110 0.8× 131 1.1× 115 1.1× 33 0.4× 10 367
Joel K. Wise United States 6 164 0.7× 114 0.8× 94 0.8× 172 1.7× 56 0.7× 7 363
E Hunziker Switzerland 6 184 0.8× 163 1.1× 221 1.9× 102 1.0× 64 0.8× 6 428
T.Y. Hui Hong Kong 4 217 1.0× 134 0.9× 129 1.1× 220 2.2× 92 1.1× 6 461
Silvia Francioli Switzerland 5 224 1.0× 168 1.2× 251 2.2× 144 1.4× 44 0.5× 6 441

Countries citing papers authored by Ryan E. Eton

Since Specialization
Citations

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

Fields of papers citing papers by Ryan E. Eton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan E. Eton

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan E. Eton. A scholar is included among the top collaborators of Ryan E. Eton 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 E. Eton. Ryan E. Eton 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.
Brown, Craig S., Ryan E. Eton, John Syrjamaki, et al.. (2022). Assessment of Patterns of Atherectomy Use. Journal of the American Heart Association. 11(22). e023356–e023356. 1 indexed citations
2.
Brown, Craig S., Ryan E. Eton, Matthew A. Corriere, et al.. (2021). Using Payment Incentives to Decrease Atherectomy Overutilization. Annals of Vascular Surgery. 73. 144–146. 2 indexed citations
4.
Eton, Ryan E., Michael P. Thompson, Nicholas H. Osborne, et al.. (2021). Association of Elective Surgical Volume With State Executive Order Curtailing Elective Surgery in Michigan During the COVID-19 Pandemic. Annals of Surgery. 277(2). 223–227. 1 indexed citations
5.
Kirsch, Michael J., et al.. (2020). Introduction to the Best-Case/Worst-Case Framework Within Transplantation Surgery to Improve Decision-Making for Increased Risk Donor Organ Offers. Progress in Transplantation. 30(4). 368–371. 5 indexed citations
6.
Bhumiratana, Sarindr, Jonathan Bernhard, David M. Alfi, et al.. (2016). Tissue-engineered autologous grafts for facial bone reconstruction. Science Translational Medicine. 8(343). 189 indexed citations
7.
Bhumiratana, Sarindr, Ryan E. Eton, Sevan R. Oungoulian, et al.. (2014). Large, stratified, and mechanically functional human cartilage grown in vitro by mesenchymal condensation. Proceedings of the National Academy of Sciences. 111(19). 6940–6945. 147 indexed citations
8.
Bhumiratana, Sarindr, Jonathan Bernhard, David M. Alfi, et al.. (2013). Engineered Bone Graft With Autogenous Stem Cell Improved Bone Reconstruction Through Enhancing Graft Integration and Preventing Entropic Graft Resorption. Journal of Oral and Maxillofacial Surgery. 71(9). e23–e24. 1 indexed citations
9.
Correia, Cristina, Warren L. Grayson, Ryan E. Eton, et al.. (2012). Human adipose-derived cells can serve as a single-cell source for thein vitrocultivation of vascularized bone grafts. Journal of Tissue Engineering and Regenerative Medicine. 8(8). 629–639. 24 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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