Andreas E. Vasdekis

1.4k total citations
66 papers, 1.1k citations indexed

About

Andreas E. Vasdekis is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Biophysics. According to data from OpenAlex, Andreas E. Vasdekis has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 19 papers in Biomedical Engineering and 13 papers in Biophysics. Recurrent topics in Andreas E. Vasdekis's work include Photonic and Optical Devices (26 papers), Electrowetting and Microfluidic Technologies (18 papers) and Semiconductor Lasers and Optical Devices (15 papers). Andreas E. Vasdekis is often cited by papers focused on Photonic and Optical Devices (26 papers), Electrowetting and Microfluidic Technologies (18 papers) and Semiconductor Lasers and Optical Devices (15 papers). Andreas E. Vasdekis collaborates with scholars based in United States, Switzerland and United Kingdom. Andreas E. Vasdekis's co-authors include Demetri Psaltis, Graham A. Turnbull, Ifor D. W. Samuel, Gregory Stephanopoulos, Luciano De Sio, Wuzhou Song, Zhenyu Li, Jeffrey A. Hubbell, Arvydas Ruseckas and Dimali A. Vithanage and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Andreas E. Vasdekis

61 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas E. Vasdekis United States 18 523 386 240 173 130 66 1.1k
Rafael Camacho Sweden 19 388 0.7× 252 0.7× 260 1.1× 222 1.3× 60 0.5× 41 1.3k
Б. А. Снопок Ukraine 18 308 0.6× 505 1.3× 123 0.5× 303 1.8× 162 1.2× 105 1.0k
Morten Andreas Geday Spain 17 286 0.5× 222 0.6× 276 1.1× 145 0.8× 393 3.0× 77 970
Susan Buckhout‐White United States 20 379 0.7× 411 1.1× 111 0.5× 878 5.1× 86 0.7× 38 1.2k
Florian Steiner Germany 17 343 0.7× 200 0.5× 107 0.4× 248 1.4× 52 0.4× 22 766
Wan Kuang United States 21 474 0.9× 498 1.3× 385 1.6× 773 4.5× 309 2.4× 51 1.4k
Yaakov R. Tischler Israel 18 579 1.1× 245 0.6× 337 1.4× 55 0.3× 127 1.0× 51 1.1k
Christoph Wälti United Kingdom 19 345 0.7× 680 1.8× 120 0.5× 573 3.3× 118 0.9× 59 1.3k
Sadao Ota Japan 14 219 0.4× 589 1.5× 200 0.8× 306 1.8× 116 0.9× 42 938
Bo Shuang United States 18 141 0.3× 409 1.1× 191 0.8× 522 3.0× 130 1.0× 21 1.2k

Countries citing papers authored by Andreas E. Vasdekis

Since Specialization
Citations

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

Fields of papers citing papers by Andreas E. Vasdekis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas E. Vasdekis

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas E. Vasdekis. A scholar is included among the top collaborators of Andreas E. Vasdekis 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 Andreas E. Vasdekis. Andreas E. Vasdekis 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.
Zhang, Jinming, et al.. (2024). Quantitative phase imaging by gradient retardance optical microscopy. Scientific Reports. 14(1). 9754–9754. 2 indexed citations
2.
Singh, Abhyudai, et al.. (2022). Density fluctuations, homeostasis, and reproduction effects in bacteria. Communications Biology. 5(1). 397–397. 6 indexed citations
3.
Sheneman, Luke, Gregory Stephanopoulos, & Andreas E. Vasdekis. (2021). Deep learning classification of lipid droplets in quantitative phase images. PLoS ONE. 16(4). e0249196–e0249196. 13 indexed citations
4.
Jung, Paweł S., et al.. (2020). Integrative quantitative-phase and airy light-sheet imaging. Scientific Reports. 10(1). 20150–20150. 11 indexed citations
5.
6.
Vasdekis, Andreas E., Andrew M. Silverman, Christopher J. Williams, et al.. (2019). Eliciting the impacts of cellular noise on metabolic trade-offs by quantitative mass imaging. Nature Communications. 10(1). 848–848. 26 indexed citations
7.
Kuchibhatla, Satyanarayana V. N. T., Ajay Karakoti, Andreas E. Vasdekis, et al.. (2019). An unexpected phase transformation of ceria nanoparticles in aqueous media. Journal of materials research/Pratt's guide to venture capital sources. 34(3). 465–473. 17 indexed citations
8.
Guglielmelli, Alexa, et al.. (2018). Stimuli responsive diffraction gratings in soft-composite materials. Journal of Physics D Applied Physics. 52(5). 53001–53001. 14 indexed citations
9.
Vasdekis, Andreas E., Andrew M. Silverman, & Gregory Stephanopoulos. (2017). Exploiting Bioprocessing Fluctuations to Elicit the Mechanistics of De Novo Lipogenesis in Yarrowia lipolytica. PLoS ONE. 12(1). e0168889–e0168889. 6 indexed citations
10.
Vasdekis, Andreas E., Andrew M. Silverman, & Gregory Stephanopoulos. (2015). Origins of Cell-to-Cell Bioprocessing Diversity and Implications of the Extracellular Environment Revealed at the Single-Cell Level. Scientific Reports. 5(1). 17689–17689. 12 indexed citations
11.
Vasdekis, Andreas E., M. J. Wilkins, Jay W. Grate, et al.. (2014). Solvent immersion imprint lithography. Lab on a Chip. 14(12). 2072–2072. 18 indexed citations
12.
Vasdekis, Andreas E. & Gregory Stephanopoulos. (2014). Single Microbe Trap and Release using Sub-Microfluidics: Methods and Applications in Biopolymer Trafficking. Biophysical Journal. 106(2). 733a–733a. 1 indexed citations
13.
Vasdekis, Andreas E., et al.. (2013). Optofluidic-tunable color filters and spectroscopy based on liquid-crystal microflows. Lab on a Chip. 13(14). 2721–2721. 24 indexed citations
14.
Vasdekis, Andreas E., Evan A. Scott, Conlin P. O’Neil, Demetri Psaltis, & Jeffrey A. Hubbell. (2012). Precision Intracellular Delivery Based on Optofluidic Polymersome Rupture. ACS Nano. 6(9). 7850–7857. 84 indexed citations
15.
Song, Wuzhou, Andreas E. Vasdekis, & Demetri Psaltis. (2012). Elastomer based tunable optofluidic devices. Lab on a Chip. 12(19). 3590–3590. 32 indexed citations
16.
Sio, Luciano De, et al.. (2012). Electro-switchable polydimethylsiloxane-based optofluidics. Lab on a Chip. 12(19). 3760–3760. 14 indexed citations
17.
Psaltis, Demetri, Wuzhou Song, & Andreas E. Vasdekis. (2012). Optofluidic devices and applications. Directory of Open access Books (OAPEN Foundation). 15. 12.1.1–12.1.4.
18.
Sio, Luciano De, et al.. (2011). Silicon oxide deposition for enhanced optical switching in polydimethylsiloxane-liquid crystal hybrids. Optics Express. 19(23). 23532–23532. 14 indexed citations
19.
Vasdekis, Andreas E., et al.. (2011). Optofluidics based on liquid crystal microflows. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8114. 81140K–81140K. 1 indexed citations
20.
Sio, Luciano De, et al.. (2010). All-optical switching in an optofluidic polydimethylsiloxane: Liquid crystal grating defined by cast-molding. Applied Physics Letters. 96(13). 34 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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