Charles D. Eggleton

1.9k citations
56 papers · 1.6k · h-index 19

Impact in

Papers in

Charles D. Eggleton

53 papers receiving 1.6k citations

Peers

Charles D. Eggleton
Comparison fields: 5 of 119
  • Fluid Flow and Transfer Processes 234
  • Computational Mechanics 506
  • Immunology and Allergy 99
  • Surfaces, Coatings and Films 108
  • Cell Biology 231
Replace Claude Verdier with:
Claude Verdier France
Miloš Kojić Serbia
Giuseppe Pontrelli Italy
Kuo‐Kang Liu United Kingdom
Igor V. Pivkin United States
Thomas A. Franke Germany
Bruce Caswell United States
Franco Maria Montevecchi Italy
Jifu Tan United States
George Lykotrafitis United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Charles D. Eggleton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Charles D. Eggleton Line = papers co-authored together Charles D. Eggleton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998299
2 2004190
3 2001186
4 1999124
5 200299
6 199885
7 200159
8 201052
9 200050
10 200836
11 200329
12 201328
13 201327
14 200325
15 201122
16 200722
17 200721
18 201920
19 199820
20 201019

About Charles D. Eggleton

Charles D. Eggleton is a scholar working on Cell Biology, Atomic and Molecular Physics, and Optics, Computational Mechanics, Biomedical Engineering and Immunology and Allergy, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (11 papers), Cellular Mechanics and Interactions (10 papers), Force Microscopy Techniques and Applications (10 papers), Orbital Angular Momentum in Optics (6 papers), Blood properties and coagulation (6 papers), Rheology and Fluid Dynamics Studies (5 papers), Engineering Education and Curriculum Development (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (234 citations), Computational Mechanics (506 citations), Immunology and Allergy (99 citations), Surfaces, Coatings and Films (108 citations) and Cell Biology (231 citations). Charles D. Eggleton has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Aleksander S. Popel, Kathleen J. Stebe, Konstantinos Konstantopoulos, Sameer Jadhav, David W. M. Marr, Dwayne D. Arola, Dongsheng Zhang, Ihab Sraj, Tuhin K. Roy and Sanjay A. Desai. Their work appears in journals such as Biophysical Journal, Physics of Fluids, Experimental Mechanics, American Journal of Physiology-Heart and Circulatory Physiology and Optics Express.

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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