Muhammad Yunusa

744 total citations
10 papers, 628 citations indexed

About

Muhammad Yunusa is a scholar working on Mechanical Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Muhammad Yunusa has authored 10 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanical Engineering, 5 papers in Biomedical Engineering and 2 papers in Automotive Engineering. Recurrent topics in Muhammad Yunusa's work include Modular Robots and Swarm Intelligence (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Advanced Materials and Mechanics (3 papers). Muhammad Yunusa is often cited by papers focused on Modular Robots and Swarm Intelligence (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Advanced Materials and Mechanics (3 papers). Muhammad Yunusa collaborates with scholars based in Türkiye, Germany and Switzerland. Muhammad Yunusa's co-authors include Metin Sitti, Morteza Amjadi, Dirk‐M. Drotlef, Yunus Alapan, Amirreza Aghakhani, Ugur Bozuyuk, Mehmet Bayındır, Mehmet Kanık, Adem Yıldırım and Wendong Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Muhammad Yunusa

10 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Yunusa Türkiye 10 422 167 119 117 116 10 628
Daniela Wirthl Austria 7 603 1.4× 325 1.9× 47 0.4× 81 0.7× 152 1.3× 9 834
Dohgyu Hwang United States 12 335 0.8× 222 1.3× 127 1.1× 58 0.5× 36 0.3× 17 526
Minho Seong South Korea 19 661 1.6× 171 1.0× 249 2.1× 364 3.1× 60 0.5× 35 1.1k
Baisong Yang China 14 327 0.8× 164 1.0× 274 2.3× 280 2.4× 48 0.4× 20 662
Hangil Ko South Korea 9 261 0.6× 91 0.5× 78 0.7× 106 0.9× 44 0.4× 10 466
Tim Cole United Kingdom 14 469 1.1× 198 1.2× 35 0.3× 36 0.3× 81 0.7× 21 687
Rainer Kaltseis Austria 11 966 2.3× 362 2.2× 49 0.4× 82 0.7× 61 0.5× 13 1.1k
Sukho Song South Korea 14 543 1.3× 294 1.8× 381 3.2× 183 1.6× 80 0.7× 32 1.1k
Richard Moser Austria 8 456 1.1× 150 0.9× 42 0.4× 93 0.8× 24 0.2× 19 645
Qingsong He China 20 643 1.5× 141 0.8× 73 0.6× 47 0.4× 33 0.3× 46 816

Countries citing papers authored by Muhammad Yunusa

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Yunusa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Yunusa

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

All Works

10 of 10 papers shown
1.
Bozuyuk, Ugur, Amirreza Aghakhani, Yunus Alapan, et al.. (2022). Reduced rotational flows enable the translation of surface-rolling microrobots in confined spaces. Nature Communications. 13(1). 6289–6289. 43 indexed citations
2.
Bozuyuk, Ugur, Yunus Alapan, Amirreza Aghakhani, Muhammad Yunusa, & Metin Sitti. (2021). Shape anisotropy-governed locomotion of surface microrollers on vessel-like microtopographies against physiological flows. Proceedings of the National Academy of Sciences. 118(13). 74 indexed citations
3.
Yunusa, Muhammad, Amirreza Aghakhani, Hamed Shahsavan, et al.. (2021). Liquid Crystal Structure of Supercooled Liquid Gallium and Eutectic Gallium–Indium. Advanced Materials. 33(38). e2104807–e2104807. 10 indexed citations
4.
Wang, Wendong, et al.. (2020). Additive manufacturing of cellulose-based materials with continuous, multidirectional stiffness gradients. Science Advances. 6(8). eaay0929–eaay0929. 100 indexed citations
5.
Yunusa, Muhammad, et al.. (2020). Thermal Effects on the Crystallization Kinetics, and Interfacial Adhesion of Single‐Crystal Phase‐Change Gallium. Advanced Materials. 32(10). e1907453–e1907453. 12 indexed citations
6.
Yunusa, Muhammad, et al.. (2018). Wrinkling Instability and Adhesion of a Highly Bendable Gallium Oxide Nanofilm Encapsulating a Liquid-Gallium Droplet. Nano Letters. 18(4). 2498–2504. 44 indexed citations
7.
Drotlef, Dirk‐M., Morteza Amjadi, Muhammad Yunusa, & Metin Sitti. (2017). Bioinspired Composite Microfibers for Skin Adhesion and Signal Amplification of Wearable Sensors. Advanced Materials. 29(28). 249 indexed citations
8.
Yunusa, Muhammad, et al.. (2017). Bio-inspired hierarchically structured polymer fibers for anisotropic non-wetting surfaces. RSC Advances. 7(25). 15553–15560. 20 indexed citations
9.
10.
Yıldırım, Adem, et al.. (2014). Surface Textured Polymer Fibers for Microfluidics. Advanced Functional Materials. 24(29). 4569–4576. 46 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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