Eugene Tu

2.5k total citations · 1 hit paper
44 papers, 1.9k citations indexed

About

Eugene Tu is a scholar working on Computational Mechanics, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Eugene Tu has authored 44 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Mechanics, 20 papers in Aerospace Engineering and 11 papers in Biomedical Engineering. Recurrent topics in Eugene Tu's work include Computational Fluid Dynamics and Aerodynamics (22 papers), Fluid Dynamics and Turbulent Flows (15 papers) and Plasma and Flow Control in Aerodynamics (9 papers). Eugene Tu is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (22 papers), Fluid Dynamics and Turbulent Flows (15 papers) and Plasma and Flow Control in Aerodynamics (9 papers). Eugene Tu collaborates with scholars based in United States, Australia and United Kingdom. Eugene Tu's co-authors include Michael J. Heller, William F. Butler, Anita H. Forster, Alexander Star, Jean‐Christophe P. Gabriel, James P. O’Connell, Norbert Hagen, Philippe Marchand, Mark M. Wang and Haichuan Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Analytical Biochemistry.

In The Last Decade

Eugene Tu

40 papers receiving 1.8k citations

Hit Papers

Microfluidic sorting of mammalian cells by optical force ... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugene Tu United States 15 1.2k 669 457 277 254 44 1.9k
Chien Chou Taiwan 26 1.1k 0.9× 620 0.9× 508 1.1× 279 1.0× 154 0.6× 126 1.9k
Takatoki Yamamoto Japan 23 1.3k 1.1× 262 0.4× 640 1.4× 300 1.1× 108 0.4× 124 2.0k
Xiaole Mao United States 22 3.8k 3.3× 351 0.5× 1.4k 3.1× 403 1.5× 257 1.0× 34 4.2k
Jing Yong Ye United States 24 733 0.6× 528 0.8× 379 0.8× 317 1.1× 257 1.0× 97 1.7k
Masao Washizu Japan 32 2.7k 2.4× 652 1.0× 1.7k 3.8× 324 1.2× 204 0.8× 120 3.7k
Chulmin Joo South Korea 24 1.1k 1.0× 390 0.6× 315 0.7× 454 1.6× 174 0.7× 93 2.0k
Ryan T. Hill United States 17 2.6k 2.3× 598 0.9× 745 1.6× 771 2.8× 531 2.1× 19 3.4k
Madhavi Krishnan United Kingdom 20 1.9k 1.7× 344 0.5× 620 1.4× 277 1.0× 130 0.5× 41 2.4k
Michel Godin Canada 24 1.4k 1.2× 510 0.8× 926 2.0× 1.1k 3.8× 229 0.9× 48 2.7k
Hana Šípová Czechia 22 1.0k 0.9× 791 1.2× 355 0.8× 226 0.8× 105 0.4× 40 1.6k

Countries citing papers authored by Eugene Tu

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Tu. A scholar is included among the top collaborators of Eugene Tu 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 Eugene Tu. Eugene Tu 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
2.
Tu, Eugene, Divya Kapoor, Pankaj Sharma, et al.. (2025). Broad-spectrum therapeutic potential of 4-phenylbutyrate in neurological and systemic diseases of viral and non-viral origin. Frontiers in Pharmacology. 16. 1621590–1621590.
3.
Stewart, Morgan E., Bruce P. Branchaud, Jared M. Fischer, et al.. (2024). Profiling protease cleavage patterns in plasma for pancreatic cancer detection. Scientific Reports. 14(1). 31809–31809. 1 indexed citations
4.
Walker, Brett S., Eugene Tu, Jared M. Fischer, et al.. (2021). Label-free enrichment of rare unconventional circulating neoplastic cells using a microfluidic dielectrophoretic sorting device. Communications Biology. 4(1). 12 indexed citations
5.
Çetin, Arif E., Yuki Hayashi, Kandaswamy Vijayan, et al.. (2018). Plasmonic Sensor Could Enable Label-Free DNA Sequencing. ACS Sensors. 3(3). 561–568. 18 indexed citations
6.
Wang, Mark M., Eugene Tu, Daniel E. Raymond, et al.. (2004). Microfluidic sorting of mammalian cells by optical force switching. Nature Biotechnology. 23(1). 83–87. 534 indexed citations breakdown →
7.
Forster, Anita H., Mark M. Wang, William F. Butler, et al.. (2004). Use of moving optical gradient fields for analysis of apoptotic cellular responses in a chronic myeloid leukemia cell model. Analytical Biochemistry. 327(1). 14–22. 9 indexed citations
8.
Zhang, Haichuan, Eugene Tu, Norbert Hagen, et al.. (2004). Time-of-Flight Optophoresis Analysis of Live Whole Cells in Microfluidic Channels. Biomedical Microdevices. 6(1). 11–21. 27 indexed citations
9.
Tu, Eugene, Haichuan Zhang, Mark M. Wang, et al.. (2004). Microfluidic cell analysis and sorting using photonic forces. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5514. 774–774.
10.
Wang, Mark M., Catherine A. Schnabel, Mirianas Chachisvilis, et al.. (2003). Optical forces for noninvasive cellular analysis. Applied Optics. 42(28). 5765–5765. 18 indexed citations
11.
Heller, Michael J., et al.. (2002). Active microelectronic array system for DNA hybridization, genotyping and pharmacogenomic applications. Psychiatric Genetics. 12(4). 181–192. 25 indexed citations
12.
Heller, Michael J., Anita H. Forster, & Eugene Tu. (2000). Active microelectronic chip devices which utilize controlled electrophoretic fields for multiplex DNA hybridization and other genomic applications. Electrophoresis. 21(1). 157–164. 123 indexed citations
13.
Tu, Eugene, et al.. (1997). Rapid determination of single base mismatch mutations in DNA hybrids by direct electric field control. Proceedings of the National Academy of Sciences. 94(4). 1119–1123. 362 indexed citations
14.
Srinivasan, G. R., et al.. (1996). Features Of Cavity Flow And Acoustics Of Stratospheric Observatory For Infrared Astronomy. Metabolites. 10(7). 1 indexed citations
16.
Tu, Eugene. (1992). Navier-Stokes simulation of a close-coupled canard-wing-body configuration. Journal of Aircraft. 29(5). 830–838. 19 indexed citations
17.
Obayashi, Shigeru, Guru P. Guruswamy, & Eugene Tu. (1991). Unsteady Navier-Stokes computations on a wing-body configuration in ramp motions. AIAA Atmospheric Flight Mechanics Conference. 5 indexed citations
18.
Kaẏnak, Ünver, et al.. (1991). Nonequilibrium turbulence modeling effects on transonic vortical flows about delta wings. NASA Technical Reports Server (NASA). 29(2). 164–70. 2 indexed citations
19.
Guruswamy, Guru P. & Eugene Tu. (1989). Effects of modal symmetry on transonic aeroelastic characteristics of wing-body configurations. Journal of Aircraft. 26(3). 271–280. 2 indexed citations
20.
Guruswamy, Guru P., Peter M. Goorjian, & Eugene Tu. (1986). Unsteady transonics of a wing with tip store. Journal of Aircraft. 23(8). 662–668. 12 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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