H. Van De Waterbeemd

8.4k total citations · 2 hit papers
81 papers, 6.0k citations indexed

About

H. Van De Waterbeemd is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, H. Van De Waterbeemd has authored 81 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Theory and Mathematics, 29 papers in Molecular Biology and 23 papers in Spectroscopy. Recurrent topics in H. Van De Waterbeemd's work include Computational Drug Discovery Methods (32 papers), Analytical Chemistry and Chromatography (19 papers) and Pharmacogenetics and Drug Metabolism (17 papers). H. Van De Waterbeemd is often cited by papers focused on Computational Drug Discovery Methods (32 papers), Analytical Chemistry and Chromatography (19 papers) and Pharmacogenetics and Drug Metabolism (17 papers). H. Van De Waterbeemd collaborates with scholars based in Switzerland, United Kingdom and France. H. Van De Waterbeemd's co-authors include Eric Gifford, Bernard Testa, Dennis A. Smith, Gerd Folkers, Gian Camenisch, Nabil El Tayar, Don K. Walker, Oleg A. Raevsky, Kevin Beaumont and Jacques R. Chrétien and has published in prestigious journals such as Nature Reviews Drug Discovery, Environmental Health Perspectives and Journal of Medicinal Chemistry.

In The Last Decade

H. Van De Waterbeemd

80 papers receiving 5.7k citations

Hit Papers

ADMET in silico modelling: towards prediction paradise? 1995 2026 2005 2015 2003 1995 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Van De Waterbeemd Switzerland 32 2.4k 2.3k 1.4k 1.3k 1.0k 81 6.0k
Edward H. Kerns United States 38 2.5k 1.0× 1.4k 0.6× 1.3k 0.9× 1.0k 0.8× 1.1k 1.1× 85 6.4k
Ulf Norinder Sweden 41 2.0k 0.8× 2.4k 1.1× 943 0.7× 777 0.6× 1.3k 1.2× 174 5.7k
Nicholas Bodor United States 42 2.3k 1.0× 951 0.4× 937 0.7× 1.5k 1.2× 745 0.7× 316 7.1k
Kristina Luthman Sweden 39 2.4k 1.0× 1.1k 0.5× 961 0.7× 2.2k 1.7× 1.3k 1.3× 139 7.1k
Gabriele Cruciani Italy 55 5.0k 2.1× 3.6k 1.6× 1.4k 1.0× 2.4k 1.9× 1.1k 1.1× 223 10.5k
Pierre‐Alain Carrupt Switzerland 58 4.1k 1.7× 1.9k 0.9× 2.5k 1.8× 3.3k 2.6× 1.2k 1.2× 306 11.9k
Arup K. Ghose United States 26 3.0k 1.3× 2.7k 1.2× 827 0.6× 2.8k 2.2× 727 0.7× 59 7.1k
Dennis A. Smith United Kingdom 40 2.5k 1.0× 1.4k 0.6× 861 0.6× 703 0.5× 1.8k 1.7× 148 7.6k
Paul D. Leeson United Kingdom 42 5.4k 2.2× 2.8k 1.3× 822 0.6× 3.0k 2.3× 728 0.7× 111 10.6k
Manfred Kansy Switzerland 36 2.6k 1.1× 1.0k 0.5× 991 0.7× 2.3k 1.8× 1.2k 1.2× 59 6.8k

Countries citing papers authored by H. Van De Waterbeemd

Since Specialization
Citations

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

Fields of papers citing papers by H. Van De Waterbeemd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Van De Waterbeemd. 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 H. Van De Waterbeemd. The network helps show where H. Van De Waterbeemd may publish in the future.

Co-authorship network of co-authors of H. Van De Waterbeemd

This figure shows the co-authorship network connecting the top 25 collaborators of H. Van De Waterbeemd. A scholar is included among the top collaborators of H. Van De Waterbeemd 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 H. Van De Waterbeemd. H. Van De Waterbeemd 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.
Testa, Bernard & H. Van De Waterbeemd. (2007). ADME-Tox approaches. Elsevier eBooks. 12 indexed citations
2.
Waterbeemd, H. Van De. (2005). Which in vitro Screens Guide the Prediction of Oral Absorption and Volume of Distribution?. Basic & Clinical Pharmacology & Toxicology. 96(3). 162–166. 29 indexed citations
3.
Waterbeemd, H. Van De. (2003). Physicochemical concepts in drug design. Birkhäuser Basel eBooks. 243–257. 3 indexed citations
4.
Waterbeemd, H. Van De & Barry Jones. (2003). Predicting Oral Absorption and Bioavailability. Progress in medicinal chemistry. 41. 1–59. 23 indexed citations
5.
Cole, Susan, et al.. (2002). Lipophilicity and Other Parameters Affecting Brain Penetration. 2(3). 229–240. 46 indexed citations
6.
Waterbeemd, H. Van De & Maarten de Groot. (2002). Can the Internet help to meet the challenges in ADME and e-ADME?. SAR and QSAR in environmental research. 13(3-4). 391–401. 13 indexed citations
7.
Mannhold, Raimund & H. Van De Waterbeemd. (2001). Substructure and whole molecule approaches for calculating log P. Journal of Computer-Aided Molecular Design. 15(4). 337–354. 140 indexed citations
8.
Waterbeemd, H. Van De. (1998). Discussion. European Journal of Pharmaceutical Sciences. 7(1). 1–3. 56 indexed citations
9.
Waterbeemd, H. Van De, Gian Camenisch, Gerd Folkers, Jacques R. Chrétien, & Oleg A. Raevsky. (1998). Estimation of Blood-Brain Barrier Crossing of Drugs Using Molecular Size and Shape, and H-Bonding Descriptors. Journal of drug targeting. 6(2). 151–165. 463 indexed citations
10.
Pliška, V., Bernard Testa, & H. Van De Waterbeemd. (1996). Lipophilicity in drug action and toxicology. 238 indexed citations
11.
Kubinyi, Hugo, Yvonne C. Martin, H. Van De Waterbeemd, & James King. (1996). The QSAR and Modelling Society. Pharmaceutica Acta Helvetiae. 71(2). 167–167. 3 indexed citations
12.
Waterbeemd, H. Van De. (1995). Chemometric methods in molecular design. 502 indexed citations breakdown →
13.
Tayar, Nabil El, et al.. (1995). Structure-lipophilicity relationships of peptides and peptidomimetics. Amino Acids. 8(2). 125–139. 5 indexed citations
14.
Hilpert, Kurt, David W. Banner, Alain Gast, et al.. (1995). The Development of Potent and Highly Selective Thrombin Inhibitors. European Journal of Medicinal Chemistry. 30. 131s–138s. 2 indexed citations
16.
Waterbeemd, H. Van De. (1994). Advanced Computer-Assisted Techniques in Drug Discover. John Wiley & Sons, Inc. eBooks. 43 indexed citations
17.
Waterbeemd, H. Van De, et al.. (1994). Lipophilicity of amino acids. Amino Acids. 7(2). 129–145. 36 indexed citations
18.
Paulis, Tomas de, Nabil El Tayar, Pierre‐Alain Carrupt, Bernard Testa, & H. Van De Waterbeemd. (1991). Quantitative Structure‐Affinity Relationships of Dopamine D2 Receptor Antagonists: A Comparison between Orthopramides and 6‐Methoxysalicylamides. Helvetica Chimica Acta. 74(2). 241–254. 10 indexed citations
19.
Tayar, Nabil El, Pierre Alain Carrupt, H. Van De Waterbeemd, & Bernard Testa. (1988). Modeling of .beta.-adrenoceptors based on molecular electrostatic potential studies of agonists and antagonists. Journal of Medicinal Chemistry. 31(11). 2072–2081. 16 indexed citations
20.
Waterbeemd, H. Van De, Nabil El Tayar, Bernard Testa, H. WIKSTROEM, & Brian L. Largent. (1987). Quantitative structure-activity relationships and eudismic analyses of the presynaptic dopaminergic activity and dopamine D2 and .sigma. receptor affinities of 3-(3-hydroxyphenyl)piperidines and octahydrobenzo[f]quinolines. Journal of Medicinal Chemistry. 30(12). 2175–2181. 19 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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