Onur Aydin

946 total citations
24 papers, 642 citations indexed

About

Onur Aydin is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Condensed Matter Physics. According to data from OpenAlex, Onur Aydin has authored 24 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Condensed Matter Physics. Recurrent topics in Onur Aydin's work include Neuroscience and Neural Engineering (6 papers), Micro and Nano Robotics (5 papers) and 3D Printing in Biomedical Research (5 papers). Onur Aydin is often cited by papers focused on Neuroscience and Neural Engineering (6 papers), Micro and Nano Robotics (5 papers) and 3D Printing in Biomedical Research (5 papers). Onur Aydin collaborates with scholars based in United States, Germany and Türkiye. Onur Aydin's co-authors include M. Taher A. Saif, Rashid Bashir, Gelson J. Pagan‐Diaz, Bashar Emon, Xiaotian Zhang, Mattia Gazzola, Shyuan Cheng, Leonardo P. Chamorro, Hong Liu and Mohamed Elhebeary and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biomaterials and Advanced Functional Materials.

In The Last Decade

Onur Aydin

23 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Onur Aydin United States 12 364 195 193 104 94 24 642
Seung Hyun Song South Korea 14 428 1.2× 110 0.6× 118 0.6× 42 0.4× 54 0.6× 51 732
Rika Wright Carlsen United States 9 466 1.3× 199 1.0× 426 2.2× 62 0.6× 31 0.3× 16 646
Gelson J. Pagan‐Diaz United States 10 430 1.2× 163 0.8× 168 0.9× 9 0.1× 88 0.9× 12 580
Kelvin Donne United Kingdom 5 364 1.0× 86 0.4× 11 0.1× 143 1.4× 85 0.9× 14 893
Veronica Iacovacci Italy 20 1.0k 2.8× 495 2.5× 859 4.5× 32 0.3× 82 0.9× 53 1.4k
Sungwoong Jeon South Korea 11 756 2.1× 380 1.9× 694 3.6× 20 0.2× 81 0.9× 15 960
Mukrime Birgul Akolpoglu Türkiye 10 398 1.1× 129 0.7× 309 1.6× 14 0.1× 31 0.3× 13 592
Ningyu Li China 16 178 0.5× 139 0.7× 52 0.3× 18 0.2× 13 0.1× 35 601
Mehmet Tiryaki Türkiye 14 375 1.0× 159 0.8× 294 1.5× 16 0.2× 42 0.4× 31 644
Ryan D. Sochol United States 13 520 1.4× 106 0.5× 81 0.4× 13 0.1× 32 0.3× 48 634

Countries citing papers authored by Onur Aydin

Since Specialization
Citations

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

Fields of papers citing papers by Onur Aydin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Onur Aydin. 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 Onur Aydin. The network helps show where Onur Aydin may publish in the future.

Co-authorship network of co-authors of Onur Aydin

This figure shows the co-authorship network connecting the top 25 collaborators of Onur Aydin. A scholar is included among the top collaborators of Onur Aydin 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 Onur Aydin. Onur Aydin 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.
Piasecki, Tomasz, Onur Aydin, Ivo W. Rangelow, et al.. (2025). Characterization of a hybrid nanowire-MEMS force sensor using direct actuation. Measurement Science and Technology. 36(7). 75024–75024. 1 indexed citations
2.
Aydin, Onur, Bashar Emon, Zhengwei Li, et al.. (2025). A forward-engineered, muscle-driven soft robotic swimmer. Science Advances. 11(29). eadu8634–eadu8634. 1 indexed citations
3.
Aydin, Onur, et al.. (2025). Gas Flow Sensing with a Piezoresistive Silicon Nanowire-Based MEMS Force Sensor. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 809–812.
4.
Piasecki, Tomasz, Onur Aydin, Ivo W. Rangelow, et al.. (2024). Multiscale Fabrication and Characterization of a NEMS Force Sensor. Advanced Materials Technologies. 10(4). 4 indexed citations
5.
Zhang, Xiaotian, Gaurav Upadhyay, Onur Aydin, et al.. (2023). Mind In Vitro Platforms: Versatile, Scalable, Robust, and Open Solutions to Interfacing with Living Neurons. Advanced Science. 11(11). e2306826–e2306826. 9 indexed citations
6.
Aydin, Onur, et al.. (2023). Incorporating Geometric Nonlinearity in Theoretical Modeling of Muscle-Powered Soft Robotic Bio-Actuators. Journal of Applied Mechanics. 91(1). 3 indexed citations
7.
Aydin, Onur, Austin P. Passaro, Ritu Raman, et al.. (2022). Principles for the design of multicellular engineered living systems. APL Bioengineering. 6(1). 10903–10903. 27 indexed citations
8.
Ko, Eunkyung, Onur Aydin, Zhengwei Li, et al.. (2022). Empowering engineered muscle in biohybrid pump by extending connexin 43 duration with reduced graphene oxides. Biomaterials. 287. 121643–121643. 7 indexed citations
9.
Aydin, Onur, et al.. (2022). Disorder to order transition in cell-ECM systems mediated by cell-cell collective interactions. Acta Biomaterialia. 154. 290–301. 16 indexed citations
10.
Passaro, Austin P., Onur Aydin, M. Taher A. Saif, & Steven L. Stice. (2021). Development of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays. Scientific Reports. 11(1). 9110–9110. 3 indexed citations
11.
Zhao, Hangbo, Yongdeok Kim, Heling Wang, et al.. (2021). Compliant 3D frameworks instrumented with strain sensors for characterization of millimeter-scale engineered muscle tissues. Proceedings of the National Academy of Sciences. 118(19). 47 indexed citations
12.
Kandel, Mikhail E., Young Jae Lee, Onur Aydin, et al.. (2020). PICS: Phase Imaging with Computational Specificity. arXiv (Cornell University). 1 indexed citations
13.
Aydin, Onur, Bashar Emon, Shyuan Cheng, et al.. (2020). Performance of fabrics for home-made masks against the spread of COVID-19 through droplets: A quantitative mechanistic study. Extreme Mechanics Letters. 40. 100924–100924. 128 indexed citations
14.
Aydin, Onur, Austin P. Passaro, Mohamed Elhebeary, et al.. (2020). Development of 3D neuromuscular bioactuators. APL Bioengineering. 4(1). 16107–16107. 41 indexed citations
15.
Kandel, Mikhail E., et al.. (2019). Cell-to-cell influence on growth in large populations. Biomedical Optics Express. 10(9). 4664–4664. 11 indexed citations
16.
Li, Zhengwei, Yongbeom Seo, Onur Aydin, et al.. (2019). Biohybrid valveless pump-bot powered by engineered skeletal muscle. Proceedings of the National Academy of Sciences. 116(5). 1543–1548. 80 indexed citations
17.
Pagan‐Diaz, Gelson J., Xiaotian Zhang, Lauren Grant, et al.. (2018). Simulation and Fabrication of Stronger, Larger, and Faster Walking Biohybrid Machines. Advanced Functional Materials. 28(23). 71 indexed citations
18.
Pagan‐Diaz, Gelson J., Xiaotian Zhang, Lauren Grant, et al.. (2018). Simulation and Fabrication of Stronger, Larger, and Faster Walking Biohybrid Machines. Advanced Functional Materials. 28(33). 6 indexed citations
19.
Pagan‐Diaz, Gelson J., Xiaotian Zhang, Lauren Grant, et al.. (2018). Biomimetics: Simulation and Fabrication of Stronger, Larger, and Faster Walking Biohybrid Machines (Adv. Funct. Mater. 23/2018). Advanced Functional Materials. 28(23). 4 indexed citations
20.
Aydin, Onur, et al.. (2016). Time-resolved local strain tracking microscopy for cell mechanics. Review of Scientific Instruments. 87(2). 23905–23905. 14 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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