Yuan‐Nan Young

175 total papers · 2.2k total citations
69 papers, 1.3k citations indexed

About

Yuan‐Nan Young is a scholar working on Computational Mechanics, Biomedical Engineering and Condensed Matter Physics. According to data from OpenAlex, Yuan‐Nan Young has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Mechanics, 26 papers in Biomedical Engineering and 20 papers in Condensed Matter Physics. Recurrent topics in Yuan‐Nan Young's work include Micro and Nano Robotics (16 papers), Lipid Membrane Structure and Behavior (12 papers) and Microfluidic and Bio-sensing Technologies (12 papers). Yuan‐Nan Young is often cited by papers focused on Micro and Nano Robotics (16 papers), Lipid Membrane Structure and Behavior (12 papers) and Microfluidic and Bio-sensing Technologies (12 papers). Yuan‐Nan Young collaborates with scholars based in United States, Canada and Hong Kong. Yuan‐Nan Young's co-authors include R. Rosner, Michael Shelley, Neil J. Balmforth, Henry M. Tufo, Anshu Dubey, Petia M. Vlahovska, Wei-Fan Hu, On Shun Pak, Ming‐Chih Lai and Yoichiro Mori and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Astrophysical Journal.

In The Last Decade

Yuan‐Nan Young

67 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Yuan‐Nan Young 620 358 220 201 138 69 1.3k
P. D. Swanson 313 0.5× 389 1.1× 174 0.8× 171 0.9× 18 0.1× 26 1.1k
Anna‐Karin Tornberg 1.1k 1.7× 277 0.8× 269 1.2× 364 1.8× 50 0.4× 54 1.8k
Robert Krasny 963 1.6× 148 0.4× 108 0.5× 211 1.0× 21 0.2× 61 1.7k
Aleksandar Donev 445 0.7× 379 1.1× 276 1.3× 45 0.2× 28 0.2× 35 1.2k
C. P. Lowe 361 0.6× 433 1.2× 304 1.4× 103 0.5× 17 0.1× 36 1.3k
E. J. Ding 828 1.3× 135 0.4× 164 0.7× 351 1.7× 81 0.6× 71 1.7k
Matthew R. Edwards 213 0.3× 367 1.0× 349 1.6× 165 0.8× 58 0.4× 68 1.8k
Amir Hirsa 781 1.3× 424 1.2× 94 0.4× 375 1.9× 35 0.3× 78 1.5k
José A. Miranda 930 1.5× 499 1.4× 1.1k 5.1× 94 0.5× 23 0.2× 116 1.8k
Krishna Kumar 603 1.0× 238 0.7× 264 1.2× 120 0.6× 9 0.1× 57 1.4k

Countries citing papers authored by Yuan‐Nan Young

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Nan Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Nan Young. 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 Yuan‐Nan Young. The network helps show where Yuan‐Nan Young may publish in the future.

Co-authorship network of co-authors of Yuan‐Nan Young

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Nan Young. A scholar is included among the top collaborators of Yuan‐Nan Young 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 Yuan‐Nan Young. Yuan‐Nan Young 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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2026