Sonja Sharpe

12 total papers · 690 total citations
10 papers, 564 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 564 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 Singapore. 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 544 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sonja Sharpe	429	321	72	61	37	10	564
Sogra F. Barakh Ali	345 0.8×	320 1.0×	108 1.5×	110 1.8×	39 1.1×	19	592
Olivier Verkinderen	308 0.7×	177 0.6×	31 0.4×	204 3.3×	95 2.6×	9	607
Brady C. Zarket	244 0.6×	102 0.3×	45 0.6×	97 1.6×	117 3.2×	9	598
Wangqu Liu	386 0.9×	87 0.3×	27 0.4×	274 4.5×	62 1.7×	10	644
Nikolaos Scoutaris	242 0.6×	111 0.3×	108 1.5×	21 0.3×	92 2.5×	13	531
Rishi Thakkar	391 0.9×	318 1.0×	148 2.1×	123 2.0×	46 1.2×	17	595
Mattia Comotto	397 0.9×	66 0.2×	23 0.3×	54 0.9×	69 1.9×	9	616
Arif Z. Nelson	235 0.5×	124 0.4×	12 0.2×	66 1.1×	118 3.2×	19	603
G. Loreti	356 0.8×	278 0.9×	244 3.4×	164 2.7×	37 1.0×	12	626
María I. Álvarez Echazú	276 0.6×	45 0.1×	55 0.8×	15 0.2×	79 2.1×	14	561

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

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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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