Steven Castleberry

948 total citations
17 papers, 793 citations indexed

About

Steven Castleberry is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Steven Castleberry has authored 17 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 5 papers in Molecular Biology and 5 papers in Biomaterials. Recurrent topics in Steven Castleberry's work include 3D Printing in Biomedical Research (4 papers), Polymer Surface Interaction Studies (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Steven Castleberry is often cited by papers focused on 3D Printing in Biomedical Research (4 papers), Polymer Surface Interaction Studies (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Steven Castleberry collaborates with scholars based in United States, Brazil and Portugal. Steven Castleberry's co-authors include Paula T. Hammond, Wei Li, Benjamin D. Almquist, Shyamala Maheswaran, Mehmet Toner, Lecia V. Sequist, Daniel A. Haber, Shannon L. Stott, Eduardo Reátegui and Anne Eeg Jensen and has published in prestigious journals such as Advanced Materials, ACS Nano and Biomaterials.

In The Last Decade

Steven Castleberry

17 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Castleberry United States 13 351 210 208 182 159 17 793
Nuno A. Fonseca Portugal 16 295 0.8× 60 0.3× 322 1.5× 540 3.0× 176 1.1× 28 1.0k
Jayanta Bhattacharyya India 18 338 1.0× 41 0.2× 539 2.6× 513 2.8× 147 0.9× 60 1.3k
Arianna Gennari United Kingdom 16 221 0.6× 31 0.1× 266 1.3× 299 1.6× 68 0.4× 25 791
Xiaoshuang Guo China 12 322 0.9× 71 0.3× 259 1.2× 215 1.2× 38 0.2× 50 850
Gaizhen Kuang China 20 701 2.0× 44 0.2× 496 2.4× 319 1.8× 123 0.8× 42 1.2k
Peter Y. Li United States 12 418 1.2× 24 0.1× 307 1.5× 330 1.8× 72 0.5× 12 841
Leslie W. Chan United States 14 208 0.6× 87 0.4× 222 1.1× 258 1.4× 31 0.2× 18 812
Qianwen Zhang China 16 112 0.3× 152 0.7× 148 0.7× 145 0.8× 30 0.2× 33 825
Tania L. Lopez‐Silva United States 12 198 0.6× 83 0.4× 403 1.9× 274 1.5× 66 0.4× 21 773
R‐M Szeimies Germany 14 340 1.0× 116 0.6× 74 0.4× 130 0.7× 61 0.4× 19 1.1k

Countries citing papers authored by Steven Castleberry

Since Specialization
Citations

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

Fields of papers citing papers by Steven Castleberry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Castleberry

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Castleberry. A scholar is included among the top collaborators of Steven Castleberry 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 Steven Castleberry. Steven Castleberry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Castleberry, Steven, et al.. (2023). Investigating the Hydrodynamics of Intravenous Drug Infusions. International Journal of Pharmaceutics. 651. 123752–123752. 1 indexed citations
2.
Castleberry, Steven, et al.. (2023). Biopharmaceutical Modeling of Food Effect─Exploring the Role of Dietary Fat. Molecular Pharmaceutics. 20(5). 2726–2737. 3 indexed citations
3.
Fan, Yuchen & Steven Castleberry. (2022). High-throughput kinetic turbidity analysis for determination of amorphous solubility and excipient screening for amorphous solid dispersions. International Journal of Pharmaceutics. 631. 122495–122495. 2 indexed citations
4.
Sinha, Kushal, et al.. (2019). Characterization of the Hydrodynamics in the USP Basket Apparatus Using Computational Fluid Dynamics. Journal of Pharmaceutical Sciences. 109(3). 1231–1241. 12 indexed citations
5.
Riedmaier, Arian Emami, David Lindley, Jeffrey A. Hall, et al.. (2017). Mechanistic Physiologically Based Pharmacokinetic Modeling of the Dissolution and Food Effect of a Biopharmaceutics Classification System IV Compound—The Venetoclax Story. Journal of Pharmaceutical Sciences. 107(1). 495–502. 58 indexed citations
6.
Castleberry, Steven, et al.. (2017). Polymer conjugated retinoids for controlled transdermal delivery. Journal of Controlled Release. 262. 1–9. 39 indexed citations
7.
Castleberry, Steven, Alexander Golberg, Saiqa Khan, et al.. (2016). Nanolayered siRNA delivery platforms for local silencing of CTGF reduce cutaneous scar contraction in third-degree burns. Biomaterials. 95. 22–34. 49 indexed citations
8.
Dong, Ziye, Ling Tang, Caroline C. Ahrens, et al.. (2016). A benchtop capillary flow layer-by-layer (CF-LbL) platform for rapid assembly and screening of biodegradable nanolayered films. Lab on a Chip. 16(23). 4601–4611. 14 indexed citations
9.
Aceto, Nicola, Eugene J. Lim, James P. Sullivan, et al.. (2015). Tunable Nanostructured Coating for the Capture and Selective Release of Viable Circulating Tumor Cells. DSpace@MIT (Massachusetts Institute of Technology). 29 indexed citations
10.
Li, Wei, Eduardo Reátegui, Myoung‐Hwan Park, et al.. (2015). Biodegradable nano-films for capture and non-invasive release of circulating tumor cells. Biomaterials. 65. 93–102. 67 indexed citations
11.
Hsu, Bryan B., Steven Castleberry, Wade Wang, et al.. (2015). Multifunctional Self-Assembled Films for Rapid Hemostat and Sustained Anti-infective Delivery. ACS Biomaterials Science & Engineering. 1(3). 148–156. 36 indexed citations
12.
Reátegui, Eduardo, Nicola Aceto, Eugene J. Lim, et al.. (2015). Tunable Nanostructured Coating for the Capture and Selective Release of Viable Circulating Tumor Cells. Advanced Materials. 27(9). 1593–1599. 147 indexed citations
13.
Almquist, Benjamin D., et al.. (2015). Combination Growth Factor Therapy via Electrostatically Assembled Wound Dressings Improves Diabetic Ulcer Healing In Vivo. Advanced Healthcare Materials. 4(14). 2090–2099. 26 indexed citations
14.
Castleberry, Steven, et al.. (2015). Self‐Assembled Wound Dressings Silence MMP‐9 and Improve Diabetic Wound Healing In Vivo. Advanced Materials. 28(9). 1809–1817. 201 indexed citations
15.
Castleberry, Steven, et al.. (2015). Three-dimensional multilayered fibrous constructs for wound healing applications. Biomaterials Science. 4(2). 319–330. 21 indexed citations
16.
Castleberry, Steven, et al.. (2014). Capillary Flow Layer-by-Layer: A Microfluidic Platform for the High-Throughput Assembly and Screening of Nanolayered Film Libraries. ACS Nano. 8(7). 6580–6589. 50 indexed citations
17.
Castleberry, Steven, Mary Wang, & Paula T. Hammond. (2013). Nanolayered siRNA Dressing for Sustained Localized Knockdown. ACS Nano. 7(6). 5251–5261. 38 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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