Daniel F. Ortwine

4.7k total citations
64 papers, 2.6k citations indexed

About

Daniel F. Ortwine is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Daniel F. Ortwine has authored 64 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 23 papers in Organic Chemistry and 11 papers in Oncology. Recurrent topics in Daniel F. Ortwine's work include Computational Drug Discovery Methods (10 papers), Quinazolinone synthesis and applications (8 papers) and Synthesis and Biological Evaluation (7 papers). Daniel F. Ortwine is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Quinazolinone synthesis and applications (8 papers) and Synthesis and Biological Evaluation (7 papers). Daniel F. Ortwine collaborates with scholars based in United States, United Kingdom and France. Daniel F. Ortwine's co-authors include A.G. Pavlovsky, Bruce D. Roth, Drago R. Sliskovic, Elizabeth A. Lunney, Christopher F. Bigge, Leslie M. Werbel, Donald Hupe, Richard D. Dyer, Peter A. Boxer and Roger S. Newton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Daniel F. Ortwine

64 papers receiving 2.5k citations

Peers

Daniel F. Ortwine
Joseph M. Salvino United States
Patrick A. Marcotte United States
Atul Purohit United Kingdom
Jeffrey C. Boehm United States
Julian Blagg United Kingdom
Hing L. Sham United States
Jianxin Duan United States
John K. Buolamwini United States
Joseph M. Salvino United States
Daniel F. Ortwine
Citations per year, relative to Daniel F. Ortwine Daniel F. Ortwine (= 1×) peers Joseph M. Salvino

Countries citing papers authored by Daniel F. Ortwine

Since Specialization
Citations

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

Fields of papers citing papers by Daniel F. Ortwine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel F. Ortwine. 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 Daniel F. Ortwine. The network helps show where Daniel F. Ortwine may publish in the future.

Co-authorship network of co-authors of Daniel F. Ortwine

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Ortwine. A scholar is included among the top collaborators of Daniel F. Ortwine 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 Daniel F. Ortwine. Daniel F. Ortwine 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.
Kschonsak, Marc, Christine C. Jao, Christopher P. Arthur, et al.. (2023). Cryo-EM reveals an unprecedented binding site for NaV1.7 inhibitors enabling rational design of potent hybrid inhibitors. eLife. 12. 17 indexed citations
2.
Rustenburg, Ariën S., Baiwei Lin, Jianwen A. Feng, et al.. (2016). Measuring experimental cyclohexane-water distribution coefficients for the SAMPL5 challenge. Journal of Computer-Aided Molecular Design. 30(11). 945–958. 37 indexed citations
3.
Tsui, Vickie, Daniel F. Ortwine, & Jeffrey M. Blaney. (2016). Enabling drug discovery project decisions with integrated computational chemistry and informatics. Journal of Computer-Aided Molecular Design. 31(3). 287–291. 5 indexed citations
4.
Feng, Jianwen A., Ignacio Aliagas, Philippe Bergeron, et al.. (2015). An integrated suite of modeling tools that empower scientists in structure- and property-based drug design. Journal of Computer-Aided Molecular Design. 29(6). 511–523. 14 indexed citations
5.
Aliagas, Ignacio, Alberto Gobbi, Timothy P. Heffron, et al.. (2015). A probabilistic method to report predictions from a human liver microsomes stability QSAR model: a practical tool for drug discovery. Journal of Computer-Aided Molecular Design. 29(4). 327–338. 23 indexed citations
6.
Burch, Jason D., Steven Magnuson, Daniel F. Ortwine, et al.. (2014). Discovery and optimization of indazoles as potent and selective interleukin-2 inducible T cell kinase (ITK) inhibitors. Bioorganic & Medicinal Chemistry Letters. 24(11). 2448–2452. 13 indexed citations
7.
Lee, Wendy, Daniel F. Ortwine, Philippe Bergeron, et al.. (2013). A hit to lead discovery of novel N-methylated imidazolo-, pyrrolo-, and pyrazolo-pyrimidines as potent and selective mTOR inhibitors. Bioorganic & Medicinal Chemistry Letters. 23(18). 5097–5104. 26 indexed citations
9.
Lauffer, Benjamin, Robert Mintzer, Rina Fong, et al.. (2013). Histone Deacetylase (HDAC) Inhibitor Kinetic Rate Constants Correlate with Cellular Histone Acetylation but Not Transcription and Cell Viability. Journal of Biological Chemistry. 288(37). 26926–26943. 338 indexed citations
10.
Warmus, Joseph S., Cheryl L. Quinn, Clarke Taylor, et al.. (2012). Structure based design of an in vivo active hydroxamic acid inhibitor of P. aeruginosa LpxC. Bioorganic & Medicinal Chemistry Letters. 22(7). 2536–2543. 28 indexed citations
11.
Li, Jie Jack, Adam R. Johnson, Amy Bunker, et al.. (2008). Quinazolinones and Pyrido[3,4- d ]pyrimidin-4-ones as Orally Active and Specific Matrix Metalloproteinase-13 Inhibitors for the Treatment of Osteoarthritis. Journal of Medicinal Chemistry. 51(4). 835–841. 74 indexed citations
12.
Johnson, Linda L., et al.. (1999). Effect of Species Differences on Stromelysin-1 (MMP-3) Inhibitor Potency. Journal of Biological Chemistry. 274(35). 24881–24887. 12 indexed citations
13.
Augelli‐Szafran, Corinne E., Clare O. Kneen, Daniel F. Ortwine, et al.. (1996). Cholecystokinin B antagonists. Synthesis and quantitative structure-activity relationships of a series of C-terminal analogues of CI-988. Bioorganic & Medicinal Chemistry. 4(10). 1733–1745. 12 indexed citations
15.
Ortwine, Daniel F., Thomas C. Malone, Christopher F. Bigge, et al.. (1992). Generation of N-methyl-D-aspartate agonist and competitive antagonist pharmacophore models. Design and synthesis of phosphonoalkyl-substituted tetrahydroisoquinolines as novel antagonists. Journal of Medicinal Chemistry. 35(8). 1345–1370. 45 indexed citations
16.
Bigge, Christopher F., Graham Johnson, Daniel F. Ortwine, et al.. (1992). Exploration of N-phosphonoalkyl-, N-phosphonoalkenyl-, and N-(phosphonoalkyl)phenyl-spaced .alpha.-amino acids as competitive N-methyl-D-aspartic acid antagonists. Journal of Medicinal Chemistry. 35(8). 1371–1384. 45 indexed citations
19.
Flynn, Darren, Thomas R. Belliotti, Amal M. Boctor, et al.. (1991). Styrylpyrazoles, styrylisoxazoles, and styrylisothiazoles. Novel 5-lipoxygenase and cyclooxygenase inhibitors. Journal of Medicinal Chemistry. 34(2). 518–525. 83 indexed citations
20.
Drummond, James T., et al.. (1989). Evaluation and synthesis of amino-hydroxy isoxazoles and pyrazoles as potential glycine agonists. Journal of Medicinal Chemistry. 32(9). 2116–2128. 25 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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