Patrick T. Underhill

1.7k total citations
40 papers, 1.3k citations indexed

About

Patrick T. Underhill is a scholar working on Fluid Flow and Transfer Processes, Biomedical Engineering and Condensed Matter Physics. According to data from OpenAlex, Patrick T. Underhill has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Fluid Flow and Transfer Processes, 16 papers in Biomedical Engineering and 13 papers in Condensed Matter Physics. Recurrent topics in Patrick T. Underhill's work include Rheology and Fluid Dynamics Studies (16 papers), Micro and Nano Robotics (13 papers) and Microfluidic and Bio-sensing Technologies (11 papers). Patrick T. Underhill is often cited by papers focused on Rheology and Fluid Dynamics Studies (16 papers), Micro and Nano Robotics (13 papers) and Microfluidic and Bio-sensing Technologies (11 papers). Patrick T. Underhill collaborates with scholars based in United States, China and Colombia. Patrick T. Underhill's co-authors include David B. Hall, John M. Torkelson, Patrick S. Doyle, Michael D. Graham, Juan P. Hernández-Ortíz, Shiva Kotha, Rahmi Ozisik, Liyun Ren, Saverio E. Spagnolie and Cynthia H. Collins and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Journal of Fluid Mechanics.

In The Last Decade

Patrick T. Underhill

39 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick T. Underhill United States 16 584 400 335 169 148 40 1.3k
Xin Yong United States 22 330 0.6× 248 0.6× 682 2.0× 233 1.4× 44 0.3× 88 1.6k
James F. Gilchrist United States 20 449 0.8× 487 1.2× 649 1.9× 538 3.2× 66 0.4× 54 1.6k
Arash Nikoubashman Germany 30 584 1.0× 205 0.5× 1.3k 3.9× 259 1.5× 249 1.7× 111 2.4k
Yongxiang Gao China 22 430 0.7× 374 0.9× 616 1.8× 225 1.3× 64 0.4× 63 1.3k
Mengting Si China 16 292 0.5× 100 0.3× 184 0.5× 298 1.8× 110 0.7× 50 1.1k
Didi Derks Netherlands 15 248 0.4× 183 0.5× 591 1.8× 88 0.5× 249 1.7× 16 1.2k
Laurence Talini France 21 414 0.7× 109 0.3× 303 0.9× 254 1.5× 158 1.1× 62 1.4k
Kenji Yoshimoto Japan 19 429 0.7× 191 0.5× 717 2.1× 370 2.2× 85 0.6× 75 1.5k
Joshua D. McGraw France 17 244 0.4× 92 0.2× 497 1.5× 165 1.0× 139 0.9× 46 1.1k
Sahraoui Chaı̈eb United States 19 437 0.7× 94 0.2× 504 1.5× 226 1.3× 27 0.2× 43 1.4k

Countries citing papers authored by Patrick T. Underhill

Since Specialization
Citations

This map shows the geographic impact of Patrick T. Underhill'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 Patrick T. Underhill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick T. Underhill more than expected).

Fields of papers citing papers by Patrick T. Underhill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick T. Underhill. 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 Patrick T. Underhill. The network helps show where Patrick T. Underhill may publish in the future.

Co-authorship network of co-authors of Patrick T. Underhill

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick T. Underhill. A scholar is included among the top collaborators of Patrick T. Underhill 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 Patrick T. Underhill. Patrick T. Underhill 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.
Wang, Xiaoyan, et al.. (2024). A Gram–Charlier Analysis of Scattering to Describe Nonideal Polymer Conformations. Macromolecules. 57(20). 9518–9535. 1 indexed citations
2.
Makowski, Emily K., Lina Wu, Jie Huang, et al.. (2024). Reduction of monoclonal antibody viscosity using interpretable machine learning. mAbs. 16(1). 2303781–2303781. 16 indexed citations
3.
Lee, Sangwoo, et al.. (2023). A new class of “structure-by-design” polymer membranes for organic solvent nanofiltration with controllable selectivity. Journal of Membrane Science. 692. 122296–122296. 5 indexed citations
4.
Underhill, Patrick T., et al.. (2022). Application of a Simple Short-Range Attraction and Long-Range Repulsion Colloidal Model toward Predicting the Viscosity of Protein Solutions. Molecular Pharmaceutics. 19(11). 4233–4240. 9 indexed citations
5.
Lee, Sangwoo, et al.. (2022). Mesoscale simulation approach for assembly of small deformable objects. Soft Matter. 18(27). 5106–5113.
6.
Underhill, Patrick T., et al.. (2019). Dumbbell kinetic theory for polymers in a combination of flow and external electric field. Physical review. E. 100(5). 52501–52501. 2 indexed citations
7.
Hirsa, Amir, et al.. (2018). Predicting Steady Shear Rheology of Condensed-Phase Monomolecular Films at the Air-Water Interface. Physical Review Letters. 121(16). 164502–164502. 14 indexed citations
8.
Sorci, Mirco, et al.. (2017). Atmospheric pressure plasma - ARGET ATRP modification of poly(ether sulfone) membranes: A combination attack. Journal of Membrane Science. 546. 151–157. 21 indexed citations
9.
Pandey, Harsh, et al.. (2016). Passive trapping of rigid rods due to conformation-dependent electrophoretic mobility. Soft Matter. 12(12). 3121–3126. 2 indexed citations
10.
Pandey, Harsh & Patrick T. Underhill. (2015). Coarse-grained model of conformation-dependent electrophoretic mobility and its influence on DNA dynamics. Physical Review E. 92(5). 52301–52301. 10 indexed citations
11.
Underhill, Patrick T., et al.. (2015). Influence of shear on globule formation in dilute solutions of flexible polymers. The Journal of Chemical Physics. 142(14). 144901–144901. 2 indexed citations
12.
Collins, Cynthia H., et al.. (2014). Impact of external flow on the dynamics of swimming microorganisms near surfaces. Journal of Physics Condensed Matter. 26(11). 115101–115101. 31 indexed citations
13.
Underhill, Patrick T., et al.. (2014). Large-amplitude oscillatory shear rheology of dilute active suspensions. Rheologica Acta. 53(12). 899–909. 28 indexed citations
14.
Underhill, Patrick T., et al.. (2013). Fluctuations in the coil-stretch transition of flexible polymers in good solvents: A peak due to nonlinear force relation. Physical Review E. 88(1). 12606–12606. 3 indexed citations
15.
Underhill, Patrick T. & Michael D. Graham. (2011). Correlations and fluctuations of stress and velocity in suspensions of swimming microorganisms. Physics of Fluids. 23(12). 17 indexed citations
16.
Underhill, Patrick T., et al.. (2011). Effect of viscoelasticity on the collective behavior of swimming microorganisms. Physical Review E. 84(6). 61901–61901. 15 indexed citations
17.
Hernández-Ortíz, Juan P., Patrick T. Underhill, & Michael D. Graham. (2009). Dynamics of confined suspensions of swimming particles. Journal of Physics Condensed Matter. 21(20). 204107–204107. 87 indexed citations
18.
Underhill, Patrick T., Juan P. Hernández-Ortíz, & Michael D. Graham. (2008). Diffusion and Spatial Correlations in Suspensions of Swimming Particles. Physical Review Letters. 100(24). 248101–248101. 165 indexed citations
19.
Underhill, Patrick T. & Patrick S. Doyle. (2007). DNA stretch during electrophoresis due to a step change in mobility. Physical Review E. 76(1). 11805–11805. 6 indexed citations
20.
Underhill, Patrick T. & Patrick S. Doyle. (2005). Development of bead-spring polymer models using the constant extension ensemble. Journal of Rheology. 49(5). 963–987. 26 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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