John H. Van Drie

2.6k total citations
21 papers, 847 citations indexed

About

John H. Van Drie is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, John H. Van Drie has authored 21 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 4 papers in Organic Chemistry. Recurrent topics in John H. Van Drie's work include Computational Drug Discovery Methods (13 papers), Chemical Synthesis and Analysis (7 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). John H. Van Drie is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Chemical Synthesis and Analysis (7 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). John H. Van Drie collaborates with scholars based in United States, Germany and New Zealand. John H. Van Drie's co-authors include Rajarshi Guha, Michael S. Lajiness, Yvonne C. Martin, David Weininger, Liang Tong, Lisa Peltason, Mathias J. Wawer, Jürgen Bajorath, BioChem Press and Rebecca Nugent and has published in prestigious journals such as Drug Discovery Today, Current Pharmaceutical Design and Journal of Chemical Information and Modeling.

In The Last Decade

John H. Van Drie

20 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John H. Van Drie United States	14	550	505	156	106	98	21	847
Andrew Smellie United States	11	616 1.1×	740 1.5×	234 1.5×	122 1.2×	73 0.7×	19	1.1k
Ed Griffen United Kingdom	11	482 0.9×	434 0.9×	215 1.4×	97 0.9×	124 1.3×	15	775
Edward P. Jaeger United States	13	442 0.8×	532 1.1×	166 1.1×	65 0.6×	117 1.2×	22	820
Simon Cross Italy	15	332 0.6×	433 0.9×	123 0.8×	127 1.2×	79 0.8×	27	738
Chris Waller United States	9	447 0.8×	378 0.7×	183 1.2×	62 0.6×	68 0.7×	14	773
Paulette A. Greenidge Switzerland	14	318 0.6×	485 1.0×	162 1.0×	117 1.1×	74 0.8×	19	855
John Marelius Sweden	10	382 0.7×	828 1.6×	161 1.0×	78 0.7×	193 2.0×	11	1.1k
Maria Kontoyianni United States	17	589 1.1×	715 1.4×	306 2.0×	161 1.5×	104 1.1×	34	1.2k
Mark Mackey United Kingdom	11	439 0.8×	590 1.2×	168 1.1×	103 1.0×	190 1.9×	19	980
James E. Mills United Kingdom	18	299 0.5×	534 1.1×	235 1.5×	63 0.6×	105 1.1×	36	1.1k

Countries citing papers authored by John H. Van Drie

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of John H. Van Drie

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Van Drie. A scholar is included among the top collaborators of John H. Van Drie 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 John H. Van Drie. John H. Van Drie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Drie, John H. Van. (2021). Hit diffusion: limitations to drug discovery and structure-based design. Journal of Computer-Aided Molecular Design. 36(5). 373–379.

Drie, John H. Van & Liang Tong. (2020). Cryo-EM as a powerful tool for drug discovery. Bioorganic & Medicinal Chemistry Letters. 30(22). 127524–127524. 57 indexed citations

Drie, John H. Van. (2011). Protein folding, protein homeostasis, and cancer. Chinese Journal of Cancer. 30(2). 124–137. 28 indexed citations

Drie, John H. Van. (2010). History of 3D pharmacophore searching: commercial, academic and open-source tools. Drug Discovery Today Technologies. 7(4). e255–e262. 4 indexed citations

Bajorath, Jürgen, Lisa Peltason, Mathias J. Wawer, et al.. (2009). Navigating structure–activity landscapes. Drug Discovery Today. 14(13-14). 698–705. 134 indexed citations

Guha, Rajarshi & John H. Van Drie. (2008). Assessing How Well a Modeling Protocol Captures a Structure−Activity Landscape. Journal of Chemical Information and Modeling. 48(8). 1716–1728. 60 indexed citations

Drie, John H. Van. (2007). Computer-aided drug design: the next 20 years. Journal of Computer-Aided Molecular Design. 21(10-11). 591–601. 116 indexed citations

Press, BioChem & John H. Van Drie. (2007). Monty Kier and the Origin of the Pharmacophore Concept. 13 indexed citations

Drie, John H. Van. (2005). Pharmacophore Discovery - Lessons Learned. 2(1). 511–532. 9 indexed citations

10.

Perni, Robert B., J. PITLIK, John J. Court, et al.. (2004). Inhibitors of hepatitis C virus NS3·4A protease 2. Warhead SAR and optimization. Bioorganic & Medicinal Chemistry Letters. 14(6). 1441–1446. 41 indexed citations

11.

Drie, John H. Van. (2003). Pharmacophore Discovery: A Critical Review. 463–486. 9 indexed citations

12.

Perni, Robert B., Lawrence F. Courtney, David D. Deininger, et al.. (2003). Inhibitors of hepatitis C virus NS3·4A protease 1. Non-Charged tetrapeptide variants. Bioorganic & Medicinal Chemistry Letters. 13(22). 4059–4063. 25 indexed citations

13.

Drie, John H. Van. (2003). Pharmacophore Discovery - Lessons Learned. Current Pharmaceutical Design. 9(20). 1649–1664. 89 indexed citations

14.

Epps, Dennis E. Van, et al.. (1998). The constituent tryptophans and bisANS as fluorescent probes of the active site and of a secondary binding site of stromelysin-1 (MMP-3). Journal of Protein Chemistry. 17(7). 699–712. 4 indexed citations

15.

Drie, John H. Van & Michael S. Lajiness. (1998). Approaches to virtual library design. Drug Discovery Today. 3(6). 274–283. 57 indexed citations

16.

Drie, John H. Van & Rebecca Nugent. (1998). Addressing the Challenges Posed by Combinatorial Chemistry: 3D Databases, Pharmacophore Recognition and Beyond. SAR and QSAR in environmental research. 9(1-2). 1–21. 14 indexed citations

17.

Drie, John H. Van. (1997). Strategies for the determination of pharmacophoric 3D database queries. Journal of Computer-Aided Molecular Design. 11(1). 39–52. 32 indexed citations

18.

Drie, John H. Van. (1997). “Shrink-Wrap” Surfaces: A New Method for Incorporating Shape into Pharmacophoric 3D Database Searching. Journal of Chemical Information and Computer Sciences. 37(1). 38–42. 20 indexed citations

19.

Drie, John H. Van. (1996). An inequality for 3D database searching and its use in evaluating the treatment of conformational flexibility. Journal of Computer-Aided Molecular Design. 10(6). 623–630. 7 indexed citations

20.

Drie, John H. Van, David Weininger, & Yvonne C. Martin. (1989). ALADDIN: An integrated tool for computer-assisted molecular design and pharmacophore recognition from geometric, steric, and substructure searching of three-dimensional molecular structures. Journal of Computer-Aided Molecular Design. 3(3). 225–251. 117 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.

Explore authors with similar magnitude of impact