John H. Van Drie
Impact in
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- Computational Drug Discovery Methods
- Structural Biology top 10%
Papers in
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- Computational Drug Discovery Methods 15
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- Chemical Synthesis and Analysis 7
- Protein Structure and Dynamics 3
- Co-authors
- Rajarshi Guha (2 shared papers)Michael S. Lajiness (2 shared papers)Yvonne C. Martin (2 shared papers)David Weininger (1 shared paper)Liang Tong (1 shared paper)Jürgen Bajorath (1 shared paper)Lisa Peltason (1 shared paper)Mathias J. Wawer (1 shared paper)
- Journals
- Journal of Computer-Aided Molecular Design (5 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Drug Discovery Today (2 papers)Journal of Chemical Information and Modeling (1 paper)Drug Discovery Today Technologies (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
John H. Van Drie
21 papers receiving 902 citations
Peers
Comparison fields: 5 of 93
- Computational Theory and Mathematics 668
- Structural Biology 14
- Pharmacology 77
- Molecular Biology 584
- Pharmacology 122
Countries citing papers authored by John H. Van Drie
This map shows the geographic impact of John H. Van Drie'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 John H. Van Drie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John H. Van Drie more than expected).
Fields of papers citing papers by John H. Van Drie
This network shows the impact of papers produced by John H. Van Drie. 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 John H. Van Drie. The network helps show where John H. Van Drie may publish in the future.
Co-authors
The 25 scholars most cited alongside John H. Van Drie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 150 | |
| 2 | 1989 | 147 | |
| 3 | 2009 | 144 | |
| 4 | 2003 | 102 | |
| 5 | 2008 | 71 | |
| 6 | 1998 | 63 | |
| 7 | 2020 | 61 | |
| 8 | 2004 | 51 | |
| 9 | 1997 | 42 | |
| 10 | 2003 | 31 | |
| 11 | 2011 | 31 | |
| 12 | 1997 | 27 | |
| 13 | 1998 | 19 | |
| 14 | Monty Kier and the Origin of the Pharmacophore Concept | 2007 | 18 |
| 15 | 2012 | 15 | |
| 16 | 2003 | 11 | |
| 17 | 1996 | 10 | |
| 18 | 2005 | 9 | |
| 19 | 2010 | 5 | |
| 20 | 1998 | 4 |
About John H. Van Drie
John H. Van Drie is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Chemical Synthesis and Analysis (7 papers), Click Chemistry and Applications (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Protein Structure and Dynamics (3 papers), Analytical Chemistry and Chromatography (3 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Computational Theory and Mathematics (668 citations), Structural Biology (14 citations), Pharmacology (77 citations), Molecular Biology (584 citations) and Pharmacology (122 citations). John H. Van Drie has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Rajarshi Guha, Michael S. Lajiness, Yvonne C. Martin, David Weininger, Liang Tong, Jürgen Bajorath, Lisa Peltason, Mathias J. Wawer, Rebecca Nugent and BioChem Press. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Bioorganic & Medicinal Chemistry Letters, Drug Discovery Today, Journal of Chemical Information and Modeling and Drug Discovery Today Technologies.
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.