Wendy E. Sanderson

939 total citations
9 papers, 530 citations indexed

About

Wendy E. Sanderson is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Wendy E. Sanderson has authored 9 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Oncology. Recurrent topics in Wendy E. Sanderson's work include Protein Structure and Dynamics (2 papers), Analytical Chemistry and Chromatography (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Wendy E. Sanderson is often cited by papers focused on Protein Structure and Dynamics (2 papers), Analytical Chemistry and Chromatography (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Wendy E. Sanderson collaborates with scholars based in Belgium, United States and United Kingdom. Wendy E. Sanderson's co-authors include Mario Orsi, Jonathan W. Essex, Sean G. Buchanan, Thomas S. Peat, J.M. Adams, J.M. Sauder, Claire Mackie, H.A. Lewis, Greet Vanhoof and Geert Verreck and has published in prestigious journals such as The Journal of Physical Chemistry B, Journal of Medicinal Chemistry and International Journal of Pharmaceutics.

In The Last Decade

Wendy E. Sanderson

9 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wendy E. Sanderson Belgium 8 382 102 86 84 56 9 530
Gisela Brändén Sweden 13 545 1.4× 69 0.7× 136 1.6× 75 0.9× 41 0.7× 29 772
A.C. Marshall Australia 14 442 1.2× 78 0.8× 55 0.6× 155 1.8× 84 1.5× 39 833
Martin Nervall Sweden 11 469 1.2× 91 0.9× 87 1.0× 78 0.9× 31 0.6× 11 687
Marcos A. Villarreal Argentina 12 425 1.1× 87 0.9× 82 1.0× 94 1.1× 34 0.6× 31 650
Jinho Moon South Korea 12 690 1.8× 115 1.1× 130 1.5× 31 0.4× 79 1.4× 46 1.0k
Sarah Williams United States 16 504 1.3× 62 0.6× 76 0.9× 77 0.9× 25 0.4× 28 837
Dennis Sprous United States 13 709 1.9× 111 1.1× 85 1.0× 75 0.9× 71 1.3× 21 1.0k
Robert V. Swift United States 15 564 1.5× 69 0.7× 71 0.8× 94 1.1× 40 0.7× 22 716
N. Prakash Prabhu India 15 419 1.1× 81 0.8× 138 1.6× 52 0.6× 16 0.3× 50 619
Troy Wymore United States 17 423 1.1× 129 1.3× 98 1.1× 74 0.9× 19 0.3× 47 728

Countries citing papers authored by Wendy E. Sanderson

Since Specialization
Citations

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

Fields of papers citing papers by Wendy E. Sanderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wendy E. Sanderson. 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 Wendy E. Sanderson. The network helps show where Wendy E. Sanderson may publish in the future.

Co-authorship network of co-authors of Wendy E. Sanderson

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

All Works

9 of 9 papers shown
1.
Buijnsters, Peter, Meri De Angelis, Xavier Langlois, et al.. (2014). Structure-Based Design of a Potent, Selective, and Brain Penetrating PDE2 Inhibitor with Demonstrated Target Engagement. ACS Medicinal Chemistry Letters. 5(9). 1049–1053. 34 indexed citations
2.
Bartolomé-Nebreda, José Manuel, Francisca Delgado, Joaquı́n Pastor, et al.. (2014). Discovery of a Potent, Selective, and Orally Active Phosphodiesterase 10A Inhibitor for the Potential Treatment of Schizophrenia. Journal of Medicinal Chemistry. 57(10). 4196–4212. 39 indexed citations
3.
Sinha, Vikash K., Stefan S. De Buck, Luca A. Fenu, et al.. (2011). Towards a Better Prediction of Peak Concentration, Volume of Distribution and Half-Life after Oral Drug Administration in Man, Using Allometry. Clinical Pharmacokinetics. 50(5). 307–318. 15 indexed citations
4.
Mensch, J., Wendy E. Sanderson, Claire Mackie, et al.. (2010). Application of PAMPA-models to predict BBB permeability including efflux ratio, plasma protein binding and physicochemical parameters. International Journal of Pharmaceutics. 395(1-2). 182–197. 44 indexed citations
5.
Fenu, Luca A., Ard Teisman, Stefan S. De Buck, et al.. (2009). Cardio-vascular safety beyond hERG: in silico modelling of a guinea pig right atrium assay. Journal of Computer-Aided Molecular Design. 23(12). 883–895. 4 indexed citations
6.
Orsi, Mario, Wendy E. Sanderson, & Jonathan W. Essex. (2009). Permeability of Small Molecules through a Lipid Bilayer: A Multiscale Simulation Study. The Journal of Physical Chemistry B. 113(35). 12019–12029. 142 indexed citations
7.
Orsi, Mario, et al.. (2007). A Quantitative Coarse-Grain Model for Lipid Bilayers. The Journal of Physical Chemistry B. 112(3). 802–815. 109 indexed citations
8.
Noland, B.W., Janet Newman, J. Hendle, et al.. (2002). Structural Studies of Salmonella typhimurium ArnB (PmrH) Aminotransferase. Structure. 10(11). 1569–1580. 63 indexed citations
9.
Lewis, H.A., J.M. Adams, Thomas S. Peat, et al.. (2001). A Structural Genomics Approach to the Study of Quorum Sensing. Structure. 9(6). 527–537. 80 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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