David B. Turner

2.9k total citations
77 papers, 2.2k citations indexed

About

David B. Turner is a scholar working on Materials Chemistry, Pharmaceutical Science and Electrical and Electronic Engineering. According to data from OpenAlex, David B. Turner has authored 77 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Materials Chemistry, 19 papers in Pharmaceutical Science and 13 papers in Electrical and Electronic Engineering. Recurrent topics in David B. Turner's work include Drug Solubulity and Delivery Systems (19 papers), Nuclear Materials and Properties (12 papers) and Computational Drug Discovery Methods (12 papers). David B. Turner is often cited by papers focused on Drug Solubulity and Delivery Systems (19 papers), Nuclear Materials and Properties (12 papers) and Computational Drug Discovery Methods (12 papers). David B. Turner collaborates with scholars based in United States, United Kingdom and Germany. David B. Turner's co-authors include Masoud Jamei, Amin Rostami‐Hodjegan, Peter Willett, Sibylle Neuhoff, Geoffrey T. Tucker, Sebastian Polak, Jiansong Yang, Jennifer Dressman, Trevor Heritage and Allan M. Ferguson and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

David B. Turner

74 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David B. Turner United States 26 680 527 425 404 388 77 2.2k
Tycho Heimbach United States 28 793 1.2× 368 0.7× 618 1.5× 1.1k 2.7× 295 0.8× 70 3.4k
Mehran Yazdanian United States 20 582 0.9× 278 0.5× 491 1.2× 572 1.4× 236 0.6× 32 2.1k
Ajaz Hussain United States 22 1.2k 1.8× 400 0.8× 409 1.0× 394 1.0× 137 0.4× 63 2.7k
Isabel González‐Álvarez Spain 31 997 1.5× 258 0.5× 833 2.0× 732 1.8× 226 0.6× 143 3.2k
Dale P. Conner United States 24 744 1.1× 235 0.4× 262 0.6× 374 0.9× 170 0.4× 56 2.7k
Robert Lionberger United States 29 1.0k 1.5× 404 0.8× 162 0.4× 347 0.9× 168 0.4× 74 2.7k
Makoto Kataoka Japan 31 1.4k 2.1× 547 1.0× 826 1.9× 636 1.6× 105 0.3× 186 3.3k
Salomon Stavchansky United States 21 651 1.0× 245 0.5× 316 0.7× 511 1.3× 98 0.3× 58 2.1k
James Butler United Kingdom 24 1.7k 2.4× 750 1.4× 327 0.8× 523 1.3× 121 0.3× 63 2.7k
Edmund Kostewicz Germany 19 1.5k 2.2× 596 1.1× 432 1.0× 405 1.0× 78 0.2× 28 2.2k

Countries citing papers authored by David B. Turner

Since Specialization
Citations

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

Fields of papers citing papers by David B. Turner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Turner. 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 David B. Turner. The network helps show where David B. Turner may publish in the future.

Co-authorship network of co-authors of David B. Turner

This figure shows the co-authorship network connecting the top 25 collaborators of David B. Turner. A scholar is included among the top collaborators of David B. Turner 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 David B. Turner. David B. Turner 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.
Turner, David B., et al.. (2025). Photoluminescence of Mechanochemically Manufactured Rare‐Earth Doped CsPbCl 3 Microcrystals. Advanced Photonics Research. 6(11).
2.
3.
Brennan, Michael C., Christopher McCleese, Lauren M. Loftus, et al.. (2024). Optically Transparent Lead Halide Perovskite Polycrystalline Ceramics. ACS Applied Materials & Interfaces. 16(12). 15084–15095. 11 indexed citations
4.
Salem, Farzaneh, et al.. (2023). Physiologically based pharmacokinetic modeling for development and applications of a virtual celiac disease population using felodipine as a model drug. CPT Pharmacometrics & Systems Pharmacology. 12(6). 808–820. 4 indexed citations
5.
6.
Banala, Venkatesh Teja, et al.. (2021). Mechanistic PBPK Modelling to Predict the Advantage of the Salt Form of a Drug When Dosed with Acid Reducing Agents. Pharmaceutics. 13(8). 1169–1169. 17 indexed citations
7.
Vogt, Patrick, Felix V. E. Hensling, Celesta S. Chang, et al.. (2021). Adsorption-controlled growth of Ga2O3 by suboxide molecular-beam epitaxy. APL Materials. 9(3). 61 indexed citations
8.
9.
Rickert, Karl, David B. Turner, J. Matthew Mann, et al.. (2020). Nonlinear propagating modes beyond the phonons in fluorite-structured crystals. Communications Physics. 3(1). 17 indexed citations
10.
Pathak, Shriram M., Kerstin J. Schaefer, Masoud Jamei, & David B. Turner. (2018). Biopharmaceutic IVIVE—Mechanistic Modeling of Single- and Two-Phase In Vitro Experiments to Obtain Drug-Specific Parameters for Incorporation Into PBPK Models. Journal of Pharmaceutical Sciences. 108(4). 1604–1618. 39 indexed citations
11.
Hens, Bart, Shriram M. Pathak, Amitava Mitra, et al.. (2017). In Silico Modeling Approach for the Evaluation of Gastrointestinal Dissolution, Supersaturation, and Precipitation of Posaconazole. Molecular Pharmaceutics. 14(12). 4321–4333. 63 indexed citations
12.
Jamei, Masoud, et al.. (2017). Application of the MechPeff model to predict passive effective intestinal permeability in the different regions of the rodent small intestine and colon. Biopharmaceutics & Drug Disposition. 38(2). 94–114. 47 indexed citations
13.
Rose, Rachel H., David B. Turner, Sibylle Neuhoff, & Masoud Jamei. (2017). Incorporation of the Time-Varying Postprandial Increase in Splanchnic Blood Flow into a PBPK Model to Predict the Effect of Food on the Pharmacokinetics of Orally Administered High-Extraction Drugs. The AAPS Journal. 19(4). 1205–1217. 22 indexed citations
14.
Turner, David B., et al.. (2016). Inter-University International Collaboration for an Online Course. SHILAP Revista de lepidopterología. 3(10). e1–e1. 3 indexed citations
15.
Young, Christopher, et al.. (2016). The lattice stiffening transition in UO2single crystals. Journal of Physics Condensed Matter. 29(3). 35005–35005. 8 indexed citations
16.
Hens, Bart, Joachim Brouwers, Maura Corsetti, et al.. (2014). Gastrointestinal transfer: In vivo evaluation and implementation in in vitro and in silico predictive tools. European Journal of Pharmaceutical Sciences. 63. 233–242. 60 indexed citations
17.
Kostewicz, Edmund, Leon Aarons, Martin Bergstrand, et al.. (2013). PBPK models for the prediction of in vivo performance of oral dosage forms. European Journal of Pharmaceutical Sciences. 57. 300–321. 241 indexed citations
18.
Turner, David B., et al.. (2001). Automatic generation of alignments for 3D QSAR analyses. Journal of Molecular Graphics and Modelling. 20(2). 111–121. 25 indexed citations
19.
Turner, David B. & Peter Willett. (2000). Evaluation of the EVA descriptor for QSAR studies: 3. The use of a genetic algorithm to search for models with enhanced predictive properties (EVA_GA). Journal of Computer-Aided Molecular Design. 14(1). 1–21. 30 indexed citations
20.
Turner, David B.. (2000). The EVA spectral descriptor. European Journal of Medicinal Chemistry. 35(4). 367–375. 36 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tycho Heimbach Breakdown of academic impact, for papers by Mehran Yazdanian Breakdown of academic impact, for papers by Ajaz Hussain Breakdown of academic impact, for papers by Isabel González‐Álvarez Breakdown of academic impact, for papers by Dale P. Conner Breakdown of academic impact, for papers by Robert Lionberger Breakdown of academic impact, for papers by Makoto Kataoka Breakdown of academic impact, for papers by Salomon Stavchansky Breakdown of academic impact, for papers by James Butler Breakdown of academic impact, for papers by Edmund Kostewicz
Rankless by CCL
2026