Charles D. Eggleton

1.9k total citations
55 papers, 1.5k citations indexed

About

Charles D. Eggleton is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics and Cell Biology. According to data from OpenAlex, Charles D. Eggleton has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 15 papers in Atomic and Molecular Physics, and Optics and 11 papers in Cell Biology. Recurrent topics in Charles D. Eggleton's work include Microfluidic and Bio-sensing Technologies (11 papers), Force Microscopy Techniques and Applications (9 papers) and Cellular Mechanics and Interactions (9 papers). Charles D. Eggleton is often cited by papers focused on Microfluidic and Bio-sensing Technologies (11 papers), Force Microscopy Techniques and Applications (9 papers) and Cellular Mechanics and Interactions (9 papers). Charles D. Eggleton collaborates with scholars based in United States, Canada and China. Charles D. Eggleton's co-authors include Aleksander S. Popel, Kathleen J. Stebe, Κωνσταντίνος Κωνσταντόπουλος, Sameer Jadhav, David W. M. Marr, Dwayne Arola, Dongsheng Zhang, Ihab Sraj, Tuhin K. Roy and Sanjay A. Desai and has published in prestigious journals such as Physical Review Letters, Journal of Fluid Mechanics and Biophysical Journal.

In The Last Decade

Charles D. Eggleton

52 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles D. Eggleton United States 19 576 481 346 224 222 55 1.5k
Claude Verdier France 31 885 1.5× 214 0.4× 362 1.0× 285 1.3× 747 3.4× 100 2.4k
Zhangli Peng United States 21 1.3k 2.3× 348 0.7× 599 1.7× 176 0.8× 141 0.6× 57 2.6k
Miloš Kojić Serbia 25 955 1.7× 277 0.6× 262 0.8× 61 0.3× 272 1.2× 130 2.5k
Igor V. Pivkin United States 25 809 1.4× 441 0.9× 830 2.4× 379 1.7× 226 1.0× 47 2.4k
Magalie Faivre France 16 840 1.5× 216 0.4× 495 1.4× 242 1.1× 58 0.3× 28 1.5k
Giuseppe Pontrelli Italy 24 779 1.4× 506 1.1× 187 0.5× 280 1.3× 51 0.2× 96 2.1k
Thomas Podgorski France 20 405 0.7× 608 1.3× 814 2.4× 448 2.0× 36 0.2× 41 1.6k
Sebastian Aland Germany 19 441 0.8× 544 1.1× 84 0.2× 56 0.3× 243 1.1× 46 1.4k
Huan Lei China 18 219 0.4× 215 0.4× 257 0.7× 139 0.6× 30 0.1× 69 1.1k
O. Berk Usta United States 29 1.6k 2.7× 173 0.4× 96 0.3× 106 0.5× 77 0.3× 60 2.5k

Countries citing papers authored by Charles D. Eggleton

Since Specialization
Citations

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

Fields of papers citing papers by Charles D. Eggleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles D. Eggleton. 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 Charles D. Eggleton. The network helps show where Charles D. Eggleton may publish in the future.

Co-authorship network of co-authors of Charles D. Eggleton

This figure shows the co-authorship network connecting the top 25 collaborators of Charles D. Eggleton. A scholar is included among the top collaborators of Charles D. Eggleton 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 Charles D. Eggleton. Charles D. Eggleton 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.
Hilal, Waleed, et al.. (2024). Comparison of SVSF-KF Adaptive Estimation Algorithms on an Electrohydrostatic Actuator Subject to a Fault. IEEE Sensors Journal. 25(2). 2905–2920.
2.
Eggleton, Charles D., et al.. (2023). Multispecies Bacterial Biofilms and Their Evaluation Using Bioreactors. Foods. 12(24). 4495–4495. 6 indexed citations
3.
Hilal, Waleed, et al.. (2022). Adaptive SVSF-KF estimation strategies based on the normalized innovation square metric and IMM strategy. Results in Engineering. 16. 100785–100785. 5 indexed citations
4.
Baek, Insuck, Changyeun Mo, Charles D. Eggleton, et al.. (2022). Determination of spectral resolutions for multispectral detection of apple bruises using visible/near-infrared hyperspectral reflectance imaging. Frontiers in Plant Science. 13. 963591–963591. 13 indexed citations
5.
6.
Baek, Insuck, Byoung–Kwan Cho, S. Andrew Gadsden, et al.. (2019). A novel hyperspectral line-scan imaging method for whole surfaces of round shaped agricultural products. Biosystems Engineering. 188. 57–66. 20 indexed citations
7.
Eggleton, Charles D., et al.. (2019). Numerical Investigation of Leukocyte Rolling, Adhesion and Bond Formation on Surface Coated with Varying P-Selectin Density. Biophysical Journal. 116(3). 18a–18a. 1 indexed citations
8.
Eggleton, Charles D., et al.. (2013). Viscoelasticity as a Biomarker for High-Throughput Flow Cytometry. Biophysical Journal. 105(10). 2281–2288. 25 indexed citations
9.
Sraj, Ihab, et al.. (2012). Erythrocyte deformation in high-throughput optical stretchers. Physical Review E. 85(4). 41923–41923. 10 indexed citations
10.
Gupta, V.K. & Charles D. Eggleton. (2012). A theoretical method to determine unstressed off-rate from multiple bond force spectroscopy. Colloids and Surfaces B Biointerfaces. 95. 50–56. 1 indexed citations
11.
Gupta, Vijay & Charles D. Eggleton. (2011). Effect of cell and microvillus mechanics on the transmission of applied loads to single bonds in dynamic force spectroscopy. Physical Review E. 84(1). 11912–11912. 6 indexed citations
12.
Gupta, Vijay, Ihab Sraj, Κωνσταντίνος Κωνσταντόπουλος, & Charles D. Eggleton. (2010). Multi-scale simulation of L-selectin–PSGL-1-dependent homotypic leukocyte binding and rupture. Biomechanics and Modeling in Mechanobiology. 9(5). 613–627. 11 indexed citations
13.
Jadhav, Sameer, et al.. (2007). Shear modulation of intercellular contact area between two deformable cells colliding under flow. Journal of Biomechanics. 40(13). 2891–2897. 21 indexed citations
14.
Jadhav, Sameer, Charles D. Eggleton, & Κωνσταντίνος Κωνσταντόπουλος. (2007). Mathematical Modeling of Cell Adhesion in Shear Flow: Application to Targeted Drug Delivery in Inflammation and Cancer Metastasis. Current Pharmaceutical Design. 13(15). 1511–1526. 20 indexed citations
15.
Eggleton, Charles D., et al.. (2004). Viscosity of Animal Erythrocyte Suspensions mixed with a Perflurocarbon Emulsion. Artificial Cells Blood Substitutes and Biotechnology. 32(3). 387–400. 2 indexed citations
16.
Eggleton, Charles D., et al.. (2003). Using Computational Fluid Dynamics Software to Estimate Circulation Time Distributions in Bioreactors. Biotechnology Progress. 19(5). 1480–1486. 28 indexed citations
17.
18.
Eggleton, Charles D., et al.. (2001). Tip Streaming from a Drop in the Presence of Surfactants. Physical Review Letters. 87(4). 48302–48302. 182 indexed citations
19.
NessAiver, Moriel, et al.. (2000). The internal carotid artery as a low pass filter. APS Division of Fluid Dynamics Meeting Abstracts. 53.
20.
Eggleton, Charles D., et al.. (2000). Calculations of intracapillary oxygen tension distributions in muscle. Mathematical Biosciences. 167(2). 123–143. 50 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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