Thomas Franke

3.4k total citations
55 papers, 2.8k citations indexed

About

Thomas Franke is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Thomas Franke has authored 55 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Biomedical Engineering, 15 papers in Electrical and Electronic Engineering and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Thomas Franke's work include Microfluidic and Bio-sensing Technologies (37 papers), Microfluidic and Capillary Electrophoresis Applications (28 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (17 papers). Thomas Franke is often cited by papers focused on Microfluidic and Bio-sensing Technologies (37 papers), Microfluidic and Capillary Electrophoresis Applications (28 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (17 papers). Thomas Franke collaborates with scholars based in Germany, United States and United Kingdom. Thomas Franke's co-authors include Lothar Schmid, David A. Weitz, A. Wixforth, Adam R. Abate, Matthias F. Schneider, Charles E. Sing, Alfredo Alexander‐Katz, Andreas Link, Shin‐Hyun Kim and Laura Adams and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters and Analytical Chemistry.

In The Last Decade

Thomas Franke

54 papers receiving 2.7k citations

Author Peers

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

Author Last Decade Papers Cites
Thomas Franke 2.3k 886 258 198 190 55 2.8k
Sheng Yan 3.3k 1.4× 1.1k 1.3× 151 0.6× 257 1.3× 85 0.4× 85 3.8k
Jon F. 2.4k 1.0× 800 0.9× 58 0.2× 276 1.4× 101 0.5× 33 2.8k
Nitesh Nama 3.8k 1.7× 998 1.1× 732 2.8× 153 0.8× 53 0.3× 47 4.2k
Nan Xiang 2.7k 1.2× 1.1k 1.2× 70 0.3× 200 1.0× 64 0.3× 150 3.2k
Chuyi Chen 2.3k 1.0× 641 0.7× 137 0.5× 889 4.5× 52 0.3× 47 3.1k
Lee R. Moore 1.2k 0.5× 251 0.3× 166 0.6× 200 1.0× 57 0.3× 64 1.8k
Joseph Rufo 3.2k 1.4× 838 0.9× 257 1.0× 432 2.2× 26 0.1× 42 3.6k
Zhangming Mao 4.1k 1.8× 1.2k 1.3× 495 1.9× 387 2.0× 48 0.3× 52 4.9k
Katherine J. Humphry 2.1k 0.9× 905 1.0× 65 0.3× 242 1.2× 43 0.2× 14 2.4k
Sixing Li 2.9k 1.3× 798 0.9× 635 2.5× 274 1.4× 25 0.1× 31 3.4k

Countries citing papers authored by Thomas Franke

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Franke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Franke

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Franke. A scholar is included among the top collaborators of Thomas Franke 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 Thomas Franke. Thomas Franke 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.
Link, Andreas, et al.. (2023). AI based image analysis of red blood cells in oscillating microchannels. RSC Advances. 13(41). 28576–28582. 6 indexed citations
2.
Link, Andreas, et al.. (2023). Classification of chemically modified red blood cells in microflow using machine learning video analysis. Soft Matter. 20(5). 952–958. 1 indexed citations
3.
Smith, Matthew G., Graham M. Gibson, Andreas Link, et al.. (2023). The role of elastic instability on the self-assembly of particle chains in simple shear flow. Physics of Fluids. 35(12).
4.
Link, Andreas, et al.. (2022). Acoustic sorting of microfluidic droplets at kHz rates using optical absorbance. Lab on a Chip. 23(1). 195–202. 24 indexed citations
5.
Schmid, Lothar & Thomas Franke. (2018). Real-time size modulation and synchronization of a microfluidic dropmaker with pulsed surface acoustic waves (SAW). Scientific Reports. 8(1). 4541–4541. 9 indexed citations
6.
Tao, Ran, Hongze Wang, Jian Zhou, et al.. (2018). Bimorph material/structure designs for high sensitivity flexible surface acoustic wave temperature sensors. Scientific Reports. 8(1). 9052–9052. 42 indexed citations
7.
Vázquez-Quesada, Adolfo, Thomas Franke, & Marco Ellero. (2017). 回転磁場を受ける超常磁性ビーズチェーンの力学,変形,および破損の理論とシミュレーション. Physics of Fluids. 29(3). 10. 1 indexed citations
8.
Vázquez-Quesada, Adolfo, Thomas Franke, & Marco Ellero. (2017). Theory and simulation of the dynamics, deformation, and breakup of a chain of superparamagnetic beads under a rotating magnetic field. Physics of Fluids. 29(3). 28 indexed citations
9.
Reboud, Julien, et al.. (2016). Visualization of Surface Acoustic Waves in Thin Liquid Films. Scientific Reports. 6(1). 21980–21980. 27 indexed citations
10.
Wixforth, A., et al.. (2015). Hydrodynamic and label-free sorting of circulating tumor cells from whole blood. Applied Physics Letters. 107(20). 14 indexed citations
11.
Moll, Kirsten, et al.. (2014). Label-free microfluidic enrichment of ring-stage Plasmodium falciparum-infected red blood cells using non-inertial hydrodynamic lift. Malaria Journal. 13(1). 375–375. 18 indexed citations
12.
Franke, Thomas, et al.. (2014). Hydrodynamic lift of vesicles and red blood cells in flow — from Fåhræus & Lindqvist to microfluidic cell sorting. Advances in Colloid and Interface Science. 208. 161–176. 89 indexed citations
13.
Schmid, Lothar & Thomas Franke. (2013). SAW-controlled drop size for flow focusing. Lab on a Chip. 13(9). 1691–1691. 102 indexed citations
14.
Franke, Thomas, A. Wixforth, & David A. Weitz. (2010). Cell and Droplet Sorting with Surface Acoustic Waves in Microfluidics. Biophysical Journal. 98(3). 193a–194a. 2 indexed citations
15.
Issadore, David, Thomas Franke, Keith A. Brown, & Robert M. Westervelt. (2010). A microfluidic microprocessor: controlling biomimetic containers and cells using hybrid integrated circuit/microfluidic chips. Lab on a Chip. 10(21). 2937–2937. 20 indexed citations
16.
Franke, Thomas, et al.. (2010). Surface acoustic wave actuated cell sorting (SAWACS). Lab on a Chip. 10(6). 789–789. 299 indexed citations
17.
Issadore, David, Thomas Franke, Keith A. Brown, Thomas P. Hunt, & Robert M. Westervelt. (2009). High-Voltage Dielectrophoretic and Magnetophoretic Hybrid Integrated Circuit/Microfluidic Chip. Journal of Microelectromechanical Systems. 18(6). 1220–1225. 25 indexed citations
18.
Franke, Thomas, et al.. (2009). Phase Transition Induced Adhesion of Giant Unilamellar Vesicles. ChemPhysChem. 10(16). 2858–2861. 6 indexed citations
19.
Franke, Thomas, Lothar Schmid, David A. Weitz, & A. Wixforth. (2009). Magneto-mechanical mixing and manipulation of picoliter volumes in vesicles. Lab on a Chip. 9(19). 2831–2831. 45 indexed citations
20.
Franke, Thomas & A. Wixforth. (2008). Microfluidics for Miniaturized Laboratories on a Chip. ChemPhysChem. 9(15). 2140–2156. 125 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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