Shana Posy

499 total citations
10 papers, 281 citations indexed

About

Shana Posy is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Shana Posy has authored 10 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Shana Posy's work include Computational Drug Discovery Methods (4 papers), Cell death mechanisms and regulation (3 papers) and Protein Structure and Dynamics (3 papers). Shana Posy is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Cell death mechanisms and regulation (3 papers) and Protein Structure and Dynamics (3 papers). Shana Posy collaborates with scholars based in United States, India and Sweden. Shana Posy's co-authors include Steven A. Spronk, Dan Sindhikara, Ken Borrelli, Tyler Day, Daniel L. Cheney, Stephen R. Johnson, Mark A. Hermsmeier, Jonathan Lippy, George L. Trainor and Gordon Todderud and has published in prestigious journals such as Analytical Biochemistry, Journal of Medicinal Chemistry and Journal of Chemical Information and Modeling.

In The Last Decade

Shana Posy

10 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shana Posy United States 8 206 87 82 39 35 10 281
Mihiret T. Sisay Germany 9 214 1.0× 118 1.4× 83 1.0× 44 1.1× 12 0.3× 12 365
John Strelow United States 7 247 1.2× 84 1.0× 129 1.6× 21 0.5× 23 0.7× 9 365
Fandi Sutanto Netherlands 6 204 1.0× 69 0.8× 163 2.0× 18 0.5× 13 0.4× 9 343
Lingling Shen China 11 188 0.9× 74 0.9× 26 0.3× 23 0.6× 25 0.7× 21 309
Holger Kuehne Switzerland 3 238 1.2× 125 1.4× 118 1.4× 29 0.7× 10 0.3× 3 335
Joni W. Lam United States 7 421 2.0× 113 1.3× 145 1.8× 28 0.7× 30 0.9× 7 532
Jesús Vázquez Spain 10 265 1.3× 54 0.6× 100 1.2× 21 0.5× 23 0.7× 12 368
Mengqi Zhong United States 7 313 1.5× 88 1.0× 116 1.4× 40 1.0× 7 0.2× 9 392
Jonathan Lippy United States 13 349 1.7× 118 1.4× 124 1.5× 90 2.3× 21 0.6× 25 505
Sharna J. Rich United Kingdom 6 230 1.1× 67 0.8× 50 0.6× 19 0.5× 32 0.9× 7 318

Countries citing papers authored by Shana Posy

Since Specialization
Citations

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

Fields of papers citing papers by Shana Posy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shana Posy

This figure shows the co-authorship network connecting the top 25 collaborators of Shana Posy. A scholar is included among the top collaborators of Shana Posy 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 Shana Posy. Shana Posy 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.
Brueckner, Alexander C., Palani Kirubakaran, Manoranjan Panda, et al.. (2024). MDFit: automated molecular simulations workflow enables high throughput assessment of ligands-protein dynamics. Journal of Computer-Aided Molecular Design. 38(1). 24–24. 3 indexed citations
2.
Dodd, Dharmpal S., Subramanya Hegde, Shana Posy, et al.. (2022). Identification of 2-Pyridinylindole-Based Dual Antagonists of Toll-like Receptors 7 and 8 (TLR7/8). ACS Medicinal Chemistry Letters. 13(5). 812–818. 7 indexed citations
3.
Dodd, Dharmpal S., Honghe Wan, Shana Posy, et al.. (2020). Discovery of Potent and Orally Bioavailable Small Molecule Antagonists of Toll-like Receptors 7/8/9 (TLR7/8/9). ACS Medicinal Chemistry Letters. 11(9). 1751–1758. 30 indexed citations
4.
Sindhikara, Dan, Steven A. Spronk, Tyler Day, et al.. (2017). Improving Accuracy, Diversity, and Speed with Prime Macrocycle Conformational Sampling. Journal of Chemical Information and Modeling. 57(8). 1881–1894. 71 indexed citations
5.
Seigal, Benjamin A., R. M. Borzilleri, Percy H. Carter, et al.. (2015). The Discovery of Macrocyclic XIAP Antagonists from a DNA-Programmed Chemistry Library, and Their Optimization To Give Lead Compounds with in Vivo Antitumor Activity. Journal of Medicinal Chemistry. 58(6). 2855–2861. 62 indexed citations
6.
Chaudhry, Charu, Jonathan H. Davis, Yong Zhang, et al.. (2015). Building homogeneous time-resolved fluorescence resonance energy transfer assays for characterization of bivalent inhibitors of an inhibitor of apoptosis protein target. Analytical Biochemistry. 497. 8–17. 3 indexed citations
7.
Kim, Kyoung Soon, Liping Zhang, David Williams, et al.. (2014). Discovery of tetrahydroisoquinoline-based bivalent heterodimeric IAP antagonists. Bioorganic & Medicinal Chemistry Letters. 24(21). 5022–5029. 17 indexed citations
8.
Klei, Herbert E., Nigel W. Moriarty, Nathaniel Echols, et al.. (2013). Ligand placement based on prior structures: the guided ligand-replacement method. Acta Crystallographica Section D Biological Crystallography. 70(1). 134–143. 10 indexed citations
9.
Posy, Shana, et al.. (2013). 3D Matched Pairs: Integrating Ligand- and Structure-Based Knowledge for Ligand Design and Receptor Annotation. Journal of Chemical Information and Modeling. 53(7). 1576–1588. 16 indexed citations
10.
Posy, Shana, Mark A. Hermsmeier, Wayne Vaccaro, et al.. (2010). Trends in Kinase Selectivity: Insights for Target Class-Focused Library Screening. Journal of Medicinal Chemistry. 54(1). 54–66. 62 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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