David Diller

2.1k total citations
66 papers, 1.5k citations indexed

About

David Diller is a scholar working on Molecular Biology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Diller has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 20 papers in Computational Theory and Mathematics and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Diller's work include Computational Drug Discovery Methods (20 papers), Protein Structure and Dynamics (10 papers) and Chemical Synthesis and Analysis (10 papers). David Diller is often cited by papers focused on Computational Drug Discovery Methods (20 papers), Protein Structure and Dynamics (10 papers) and Chemical Synthesis and Analysis (10 papers). David Diller collaborates with scholars based in United States, Norway and Kazakhstan. David Diller's co-authors include Kenneth M. Merz, Anthony E. Klon, Christophe L. M. J. Verlinde, Wim G. J. Hol, Doug W. Hobbs, Douglas S. Auld, Ajit Jadhav, Ronald L. Johnson, James Inglese and Anton Simeonov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cancer Research.

In The Last Decade

David Diller

64 papers receiving 1.4k 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 Diller United States 19 833 634 225 171 147 66 1.5k
Sudipto Mukherjee United States 17 1.3k 1.6× 722 1.1× 250 1.1× 241 1.4× 149 1.0× 27 1.9k
Alex M. Clark United States 24 744 0.9× 784 1.2× 325 1.4× 311 1.8× 167 1.1× 66 2.0k
Niklas Blomberg Sweden 22 1.1k 1.3× 500 0.8× 178 0.8× 130 0.8× 85 0.6× 46 1.6k
Andrea Zaliani Germany 17 1.1k 1.4× 737 1.2× 216 1.0× 310 1.8× 127 0.9× 63 1.8k
Jeffrey J. Sutherland United States 23 698 0.8× 683 1.1× 165 0.7× 119 0.7× 74 0.5× 44 1.5k
Ajay United States 11 983 1.2× 799 1.3× 264 1.2× 164 1.0× 120 0.8× 13 1.7k
Scott R. Brozell United States 10 929 1.1× 597 0.9× 220 1.0× 244 1.4× 104 0.7× 23 1.5k
Ian A. Watson United States 19 480 0.6× 560 0.9× 201 0.9× 170 1.0× 113 0.8× 40 1.2k
Florian Nigsch Switzerland 21 725 0.9× 582 0.9× 152 0.7× 220 1.3× 83 0.6× 36 1.4k
Jean‐François Truchon Canada 12 862 1.0× 756 1.2× 323 1.4× 212 1.2× 103 0.7× 19 1.4k

Countries citing papers authored by David Diller

Since Specialization
Citations

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

Fields of papers citing papers by David Diller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Diller

This figure shows the co-authorship network connecting the top 25 collaborators of David Diller. A scholar is included among the top collaborators of David Diller 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 Diller. David Diller 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.
Govindaraj, Rajiv Gandhi, et al.. (2023). Recent applications of computational methods to allosteric drug discovery. Frontiers in Molecular Biosciences. 9. 1070328–1070328. 15 indexed citations
2.
Diller, David, et al.. (2022). A workforce study of emergency medicine medical education fellowship directors: Describing roles, responsibilities, support, and priorities. AEM Education and Training. 6(5). e10799–e10799. 3 indexed citations
3.
Stroke, Ilana L., David W. Hilbert, Laurie J. Sturzenbecker, et al.. (2018). Identification and initial optimization of inhibitors of Clostridium difficile (C. difficile) toxin B (TcdB). Bioorganic & Medicinal Chemistry Letters. 28(4). 756–761. 7 indexed citations
4.
Skinner, Anna, et al.. (2018). Development and application of a multi-modal task analysis to support intelligent tutoring of complex skills. International Journal of STEM Education. 5(1). 14–14. 13 indexed citations
5.
Bayden, Alexander S., et al.. (2017). PeptideNavigator: An interactive tool for exploring large and complex data sets generated during peptide-based drug design projects. Computers in Biology and Medicine. 92. 176–187. 2 indexed citations
6.
Bayden, Alexander S., et al.. (2015). A combined cheminformatic and bioinformatic approach to address the proteolytic stability challenge in peptide‐based drug discovery. Biopolymers. 104(6). 775–789. 2 indexed citations
7.
Diller, David, Nancy Connell, & William J. Welsh. (2015). Avalanche for shape and feature-based virtual screening with 3D alignment. Journal of Computer-Aided Molecular Design. 29(11). 1015–1024. 9 indexed citations
8.
Diller, David, Christine Humblet, Xiaohua Zhang, & Lance M. Westerhoff. (2010). Computational alanine scanning with linear scaling semiempirical quantum mechanical methods. Proteins Structure Function and Bioinformatics. 78(10). 2329–2337. 14 indexed citations
9.
Diller, David & Doug W. Hobbs. (2007). Understanding hERG inhibition with QSAR models based on a one-dimensional molecular representation. Journal of Computer-Aided Molecular Design. 21(7). 379–393. 14 indexed citations
10.
Metzger, Axel, David Diller, Tsung H. Lin, Ian Henderson, & Maria L. Webb. (2006). Successful Screening of Large Encoded Combinatorial Libraries Leading to the Discovery of Novel p38 MAP Kinase Inhibitors. Combinatorial Chemistry & High Throughput Screening. 9(5). 351–358. 3 indexed citations
11.
DeLisle, Robert Kirk, et al.. (2005). Computational ADME/Tox Modeling: Aiding Understanding and Enhancing Decision Making in Drug Design. Current Computer - Aided Drug Design. 1(4). 325–345. 10 indexed citations
12.
Diller, David, Tsung H. Lin, & Axel Metzger. (2005). The Discovery of Novel Chemotypes of p38 Kinase Inhibitors. Current Topics in Medicinal Chemistry. 5(10). 953–965. 34 indexed citations
13.
Pew, Richard W., Yvette J. Tenney, David Diller, et al.. (2004). Agent-Based Modeling and Behavior Representation (AMBR). Defense Technical Information Center (DTIC). 2 indexed citations
14.
DeLisle, Robert Kirk, et al.. (2004). The Different Strategies for Designing GPCR and Kinase Targeted Libraries. Combinatorial Chemistry & High Throughput Screening. 7(5). 495–510. 37 indexed citations
15.
Auld, Douglas S., David Diller, & Koc-Kan Ho. (2002). Targeting signal transduction with large combinatorial collections. Drug Discovery Today. 7(24). 1206–1213. 12 indexed citations
16.
Diller, David & Kenneth M. Merz. (2002). Can we separate active from inactive conformations?. Journal of Computer-Aided Molecular Design. 16(2). 105–112. 37 indexed citations
17.
Cheng, Ailan, et al.. (2001). Computation of the physio‐chemical properties and data mining of large molecular collections. Journal of Computational Chemistry. 23(1). 172–183. 37 indexed citations
18.
Diller, David & Kenneth M. Merz. (2001). High throughput docking for library design and library prioritization. Proteins Structure Function and Bioinformatics. 43(2). 113–124. 263 indexed citations
19.
Davis, Stephen H., Emmanuele DiBenedetto, & David Diller. (1996). Some a Priori Estimates for a Singular Evolution Equation Arising in Thin-Film Dynamics. SIAM Journal on Mathematical Analysis. 27(3). 638–660. 29 indexed citations
20.
Diller, David. (1994). A note on the uniqueness of entropy solutions to first order quasilinear equations.. Biochemical and Biophysical Research Communications. 487(3). 500–508. 4 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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