Sonja Sharpe

695 total citations
10 papers, 567 citations indexed

About

Sonja Sharpe is a scholar working on Biomedical Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Sonja Sharpe has authored 10 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 4 papers in Materials Chemistry and 3 papers in Automotive Engineering. Recurrent topics in Sonja Sharpe's work include Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), 3D Printing in Biomedical Research (4 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). Sonja Sharpe is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), 3D Printing in Biomedical Research (4 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). Sonja Sharpe collaborates with scholars based in United States, United Kingdom and Ireland. Sonja Sharpe's co-authors include Morgan R. Alexander, Clive J. Roberts, Ricky D. Wildman, Shaban Khaled, Derek J. Irvine, Christopher Tuck, Richard Hague, Elizabeth A. Clark, Frank Caruso and T. Alan Hatton and has published in prestigious journals such as Langmuir, International Journal of Pharmaceutics and Crystal Growth & Design.

In The Last Decade

Sonja Sharpe

10 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonja Sharpe United States 9 431 322 72 61 37 10 567
Amol Ashok Pawar India 11 435 1.0× 291 0.9× 31 0.4× 123 2.0× 84 2.3× 18 740
Federico Ribet Sweden 8 245 0.6× 86 0.3× 102 1.4× 29 0.5× 17 0.5× 13 427
Rishi Thakkar United States 13 402 0.9× 322 1.0× 149 2.1× 125 2.0× 46 1.2× 17 607
Eva Sanchez‐Rexach Spain 8 132 0.3× 128 0.4× 17 0.2× 40 0.7× 40 1.1× 14 324
Johan Nyman Finland 7 275 0.6× 175 0.5× 56 0.8× 30 0.5× 20 0.5× 10 354
S. Cem Millik United States 6 238 0.6× 147 0.5× 8 0.1× 72 1.2× 46 1.2× 10 379
Deck Khong Tan United Kingdom 8 407 0.9× 345 1.1× 107 1.5× 93 1.5× 43 1.2× 10 569
Mirja Palo Finland 8 286 0.7× 145 0.5× 91 1.3× 33 0.5× 24 0.6× 11 401
Karim Osouli-Bostanabad Iran 10 106 0.2× 40 0.1× 41 0.6× 70 1.1× 77 2.1× 21 370
Muqdad Alhijjaj Iraq 9 355 0.8× 328 1.0× 117 1.6× 127 2.1× 58 1.6× 11 532

Countries citing papers authored by Sonja Sharpe

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Sharpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Sharpe

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

All Works

10 of 10 papers shown
1.
Khaled, Shaban, Morgan R. Alexander, Derek J. Irvine, et al.. (2018). Extrusion 3D Printing of Paracetamol Tablets from a Single Formulation with Tunable Release Profiles Through Control of Tablet Geometry. AAPS PharmSciTech. 19(8). 3403–3413. 120 indexed citations
2.
Khaled, Shaban, et al.. (2018). 3D extrusion printing of high drug loading immediate release paracetamol tablets. International Journal of Pharmaceutics. 538(1-2). 223–230. 173 indexed citations
3.
Lai, David, et al.. (2018). Spherical Crystalline Anti-Retroviral Drug Particles with Tunable Microstructure. Crystal Growth & Design. 18(10). 5727–5732. 2 indexed citations
4.
Lai, David, et al.. (2018). Continuous Flow Droplet-Based Crystallization Platform for Producing Spherical Drug Microparticles. Organic Process Research & Development. 23(1). 93–101. 15 indexed citations
5.
Clark, Elizabeth A., Morgan R. Alexander, Derek J. Irvine, et al.. (2017). 3D printing of tablets using inkjet with UV photoinitiation. International Journal of Pharmaceutics. 529(1-2). 523–530. 162 indexed citations
6.
Bucak, Şeyda, Sonja Sharpe, Simon Kuhn, & T. Alan Hatton. (2011). Cell clarification and size separation using continuous countercurrent magnetophoresis. Biotechnology Progress. 27(3). 744–750. 17 indexed citations
7.
Andemichael, Yemane W., Jun Chen, Jacalyn S. Clawson, et al.. (2009). Process Development for A Novel Pleuromutilin-Derived Antibiotic. Organic Process Research & Development. 13(4). 729–738. 10 indexed citations
8.
Clawson, Jacalyn S., Frederick G. Vogt, Jeffrey L. Brum, et al.. (2008). Formation and Characterization of Crystals Containing a Pleuromutilin Derivative, Succinic Acid and Water. Crystal Growth & Design. 8(11). 4120–4131. 17 indexed citations
10.
Sharpe, Sonja, et al.. (2003). Comparison of the Flow Properties of Aqueous Suspension Corticosteroid Nasal Sprays Under Differing Sampling Conditions. Drug Development and Industrial Pharmacy. 29(9). 1005–1012. 18 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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