Nina C. Shapley

872 total citations
27 papers, 698 citations indexed

About

Nina C. Shapley is a scholar working on Materials Chemistry, Fluid Flow and Transfer Processes and Computational Mechanics. According to data from OpenAlex, Nina C. Shapley has authored 27 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 9 papers in Fluid Flow and Transfer Processes and 8 papers in Computational Mechanics. Recurrent topics in Nina C. Shapley's work include Rheology and Fluid Dynamics Studies (9 papers), Material Dynamics and Properties (7 papers) and Granular flow and fluidized beds (5 papers). Nina C. Shapley is often cited by papers focused on Rheology and Fluid Dynamics Studies (9 papers), Material Dynamics and Properties (7 papers) and Granular flow and fluidized beds (5 papers). Nina C. Shapley collaborates with scholars based in United States, Netherlands and United Kingdom. Nina C. Shapley's co-authors include Anubhav Tripathi, Gareth H. McKinley, Robert C. Armstrong, Robert A. Brown, Dilip Rajagopalan, Kun Yu, Raj Kishore Patel, Zhoubo Li, Elizabeth McCandlish and Brian Buckley and has published in prestigious journals such as Analytical Chemistry, Chemical Engineering Science and Physics of Fluids.

In The Last Decade

Nina C. Shapley

27 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina C. Shapley United States 14 185 168 144 138 105 27 698
Laurence Galet France 20 235 1.3× 21 0.1× 160 1.1× 89 0.6× 48 0.5× 35 1.2k
Joseph O. Carnali United States 13 54 0.3× 157 0.9× 75 0.5× 79 0.6× 13 0.1× 25 595
Titus Sobisch United States 11 57 0.3× 16 0.1× 216 1.5× 138 1.0× 100 1.0× 27 735
Nor Saadah Mohd Yusof Malaysia 14 28 0.2× 18 0.1× 290 2.0× 199 1.4× 51 0.5× 35 705
Partha Kundu India 12 117 0.6× 37 0.2× 115 0.8× 113 0.8× 109 1.0× 25 714
Yogesh M. Harshe Switzerland 12 194 1.0× 58 0.3× 112 0.8× 338 2.4× 86 0.8× 26 721
Yusuf Uludağ Türkiye 16 159 0.9× 82 0.5× 38 0.3× 201 1.5× 193 1.8× 26 641
Cláudio P. Fonte United Kingdom 17 322 1.7× 84 0.5× 111 0.8× 465 3.4× 110 1.0× 55 902
J. Meadows United Kingdom 18 17 0.1× 163 1.0× 137 1.0× 128 0.9× 21 0.2× 28 1.1k
E. V. Yurtov Russia 17 21 0.1× 13 0.1× 326 2.3× 171 1.2× 49 0.5× 79 975

Countries citing papers authored by Nina C. Shapley

Since Specialization
Citations

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

Fields of papers citing papers by Nina C. Shapley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina C. Shapley. 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 Nina C. Shapley. The network helps show where Nina C. Shapley may publish in the future.

Co-authorship network of co-authors of Nina C. Shapley

This figure shows the co-authorship network connecting the top 25 collaborators of Nina C. Shapley. A scholar is included among the top collaborators of Nina C. Shapley 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 Nina C. Shapley. Nina C. Shapley 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.
Shapley, Nina C., et al.. (2023). Fluidized bed drying of supported Catalysts: Effect of process parameters. Chemical Engineering Science. 282. 119280–119280. 1 indexed citations
2.
Mirbod, Parisa & Nina C. Shapley. (2023). Particle migration of suspensions in a pressure-driven flow over and through a porous structure. Journal of Rheology. 67(2). 417–432. 6 indexed citations
3.
Potanin, Andrei & Nina C. Shapley. (2020). Heel estimate during pressure-driven drainage of gels from tanks. Chemical Engineering Science. 230. 116158–116158. 8 indexed citations
4.
Ramachnadran, Rohit, et al.. (2020). Adsorption of positively and negatively charged heavy metal ions from wastewater by heteroaggregates of biopolymer particles. Colloids and Surfaces A Physicochemical and Engineering Aspects. 602. 124789–124789. 11 indexed citations
5.
Shapley, Nina C., et al.. (2016). Population balance model development and experimental validation for the heteroaggregation of oppositely charged micro- and nano-particles. Process Safety and Environmental Protection. 113. 96–111. 9 indexed citations
6.
Yu, Kun, Elizabeth McCandlish, Brian Buckley, et al.. (2013). Copper ion adsorption by chitosan nanoparticles and alginate microparticles for water purification applications. Colloids and Surfaces A Physicochemical and Engineering Aspects. 425. 31–41. 110 indexed citations
7.
Shapley, Nina C., et al.. (2012). Improved Antimicrobial Potency through Synergistic Action of Chitosan Microparticles and Low Electric Field. Applied Biochemistry and Biotechnology. 168(3). 531–541. 8 indexed citations
8.
Li, Dapeng, et al.. (2012). Stabilization of Natural Dyes by High Levels of Antioxidants. Advanced materials research. 441. 192–199. 3 indexed citations
9.
Shapley, Nina C., et al.. (2011). Review of sunscreen and the emergence of non-conventional absorbers and their applications in ultraviolet protection. International Journal of Cosmetic Science. 33(5). 385–390. 147 indexed citations
10.
Shapley, Nina C., et al.. (2010). Particle migration in oscillatory torsional flows of concentrated suspensions. Journal of Rheology. 54(3). 663–686. 13 indexed citations
11.
Tripathi, Anubhav, et al.. (2009). Biocompatible nanoparticles trigger rapid bacteria clustering. Biotechnology Progress. 25(4). 1094–1102. 36 indexed citations
12.
Shapley, Nina C., et al.. (2008). Flows of concentrated suspensions through an asymmetric bifurcation. Journal of Rheology. 52(2). 625–647. 29 indexed citations
13.
Shapley, Nina C., et al.. (2007). Stream Spreading in Multilayer Microfluidic Flows of Suspensions. Analytical Chemistry. 79(5). 1947–1953. 15 indexed citations
14.
Shapley, Nina C., et al.. (2007). Imaging contrast effects in alginate microbeads containing trapped emulsion droplets. Journal of Magnetic Resonance. 188(1). 168–175. 18 indexed citations
15.
Shapley, Nina C., et al.. (2007). Pressure drop enhancement in a concentrated suspension flowing through an abrupt axisymmetric contraction-expansion. Physics of Fluids. 19(10). 12 indexed citations
16.
Tang, Haiying, et al.. (2005). Flow of a concentrated suspension through an abrupt axisymmetric expansion measured by nuclear magnetic resonance imaging. Journal of Rheology. 49(6). 1409–1428. 36 indexed citations
17.
Leonard, Edward F., et al.. (2004). Dialysis without Membranes: How and Why?. Blood Purification. 22(1). 92–100. 20 indexed citations
18.
Shapley, Nina C., Robert A. Brown, & Robert C. Armstrong. (2004). Evaluation of particle migration models based on laser Doppler velocimetry measurements in concentrated suspensions. Journal of Rheology. 48(2). 255–279. 33 indexed citations
19.
d’Ávila, Marcos Akira, Nina C. Shapley, Jeffrey H. Walton, et al.. (2003). Mixing of concentrated oil-in-water emulsions measured by nuclear magnetic resonance imaging. Physics of Fluids. 15(9). 2499–2511. 12 indexed citations
20.
Shapley, Nina C., Robert C. Armstrong, & Robert A. Brown. (2002). Laser Doppler velocimetry measurements of particle velocity fluctuations in a concentrated suspension. Journal of Rheology. 46(1). 241–272. 31 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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