David Weininger
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Materials Chemistry top 2%
- Machine Learning in Materials Science
Papers in
-
- Computational Drug Discovery Methods 7
-
- Chemical Synthesis and Analysis 5
- Plant biochemistry and biosynthesis 1
- Co-authors
- J. L. Weininger (1 shared paper)Yvonne C. Martin (2 shared papers)John H. Van Drie (1 shared paper)David Hoekman (1 shared paper)Albert J. Leo (1 shared paper)Corwin Hansch (1 shared paper)Cynthia Dias Selassie (1 shared paper)Christine Humblet (1 shared paper)
- Journals
- Journal of Computer-Aided Molecular Design (2 papers)Chemical Reviews (1 paper)Progress in clinical and biological research (1 paper)Elsevier eBooks (1 paper)Journal of Chemical Information and Computer Sciences (6 papers)
- Partner nations
- United States
In The Last Decade
David Weininger
12 papers receiving 6.7k citations
David Weininger's Hit Papers
Peers
Comparison fields: 5 of 168
- Computational Theory and Mathematics 4.4k
- Materials Chemistry 2.7k
- Spectroscopy 862
- Molecular Biology 3.2k
- Physical and Theoretical Chemistry 378
Countries citing papers authored by David Weininger
This map shows the geographic impact of David Weininger'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 Weininger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Weininger more than expected).
Fields of papers citing papers by David Weininger
This network shows the impact of papers produced by David Weininger. 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 Weininger. The network helps show where David Weininger may publish in the future.
Co-authors
The 14 scholars most cited alongside David Weininger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules Hit paper breakdown → | 1988 | 5215 |
| 2 | SMILES. 2. Algorithm for generation of unique SMILES notation Hit paper breakdown → | 1989 | 996 |
| 3 | 1990 | 260 | |
| 4 | 2002 | 193 | |
| 5 | 1989 | 147 | |
| 6 | 1996 | 147 | |
| 7 | 1994 | 43 | |
| 8 | 1988 | 27 | |
| 9 | 1995 | 23 | |
| 10 | 1978 | 10 | |
| 11 | Strategies in drug design based on 3D-structures of ligands. | 1989 | 2 |
| 12 | 1994 | 1 | |
| 13 | 1993 | 1 | |
| 14 | 1986 | 0 |
About David Weininger
David Weininger is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Physical and Theoretical Chemistry and Materials Chemistry, having authored 14 papers that have together received 7.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Chemical Synthesis and Analysis (5 papers), Analytical Chemistry and Chromatography (4 papers), History and advancements in chemistry (4 papers), Machine Learning in Materials Science (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Plant biochemistry and biosynthesis (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Computational Theory and Mathematics (4.4k citations), Materials Chemistry (2.7k citations), Spectroscopy (862 citations), Molecular Biology (3.2k citations) and Physical and Theoretical Chemistry (378 citations). David Weininger has collaborated with scholars based in United States. Frequent co-authors include J. L. Weininger, Yvonne C. Martin, John H. Van Drie, David Hoekman, Albert J. Leo, Corwin Hansch, Cynthia Dias Selassie, Christine Humblet, Jeremy J. Yang and Jeffrey M. Blaney. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Chemical Reviews, Progress in clinical and biological research, Elsevier eBooks and Journal of Chemical Information and Computer Sciences.
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.