Hans‐Joachim Böhm

6.6k total citations · 2 hit papers
47 papers, 5.1k citations indexed

About

Hans‐Joachim Böhm is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Hans‐Joachim Böhm has authored 47 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 18 papers in Computational Theory and Mathematics and 16 papers in Organic Chemistry. Recurrent topics in Hans‐Joachim Böhm's work include Computational Drug Discovery Methods (18 papers), Chemical Synthesis and Analysis (12 papers) and Protein Structure and Dynamics (8 papers). Hans‐Joachim Böhm is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Chemical Synthesis and Analysis (12 papers) and Protein Structure and Dynamics (8 papers). Hans‐Joachim Böhm collaborates with scholars based in Germany, Switzerland and United States. Hans‐Joachim Böhm's co-authors include Martin Ståhl, Reinhart Ahlrichs, Gisbert Schneider, G. Klebe, David W. Banner, Alexander Alanine, Konrad Bleicher, Klaus Müller, Klaus Müller and U. Obst-Sander and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of Chemical Physics and Nature Reviews Drug Discovery.

In The Last Decade

Hans‐Joachim Böhm

47 papers receiving 4.9k citations

Hit Papers

Fluorine in Medicinal Che... 2003 2026 2010 2018 2004 2003 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hans‐Joachim Böhm 2.1k 1.7k 1.3k 870 860 47 5.1k
Andrew G. Leach 1.9k 0.9× 3.3k 1.9× 665 0.5× 333 0.4× 346 0.4× 112 5.3k
Gilles Klopman 2.0k 0.9× 2.8k 1.6× 2.5k 1.9× 1.0k 1.2× 206 0.2× 228 8.5k
J. Peter Guthrie 1.6k 0.8× 2.1k 1.2× 488 0.4× 884 1.0× 139 0.2× 127 4.5k
Jonathan M. Goodman 2.6k 1.2× 4.6k 2.7× 939 0.7× 484 0.6× 310 0.4× 203 8.9k
Olaf Wiest 2.6k 1.2× 3.8k 2.2× 563 0.4× 544 0.6× 196 0.2× 201 7.6k
George Chang 3.0k 1.4× 2.3k 1.3× 729 0.6× 310 0.4× 174 0.2× 55 6.2k
Thomas F. Hendrickson 4.9k 2.3× 2.7k 1.6× 831 0.6× 931 1.1× 162 0.2× 24 8.0k
Bernd Kuhn 6.9k 3.3× 3.5k 2.0× 2.6k 1.9× 650 0.7× 1.4k 1.6× 109 12.7k
John J. Wendoloski 2.8k 1.3× 2.1k 1.2× 1.3k 1.0× 1.0k 1.2× 73 0.1× 54 6.5k
Wayne C. Guida 5.5k 2.6× 3.6k 2.1× 1.3k 1.0× 459 0.5× 175 0.2× 94 10.0k

Countries citing papers authored by Hans‐Joachim Böhm

Since Specialization
Citations

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

Fields of papers citing papers by Hans‐Joachim Böhm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans‐Joachim Böhm. 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 Hans‐Joachim Böhm. The network helps show where Hans‐Joachim Böhm may publish in the future.

Co-authorship network of co-authors of Hans‐Joachim Böhm

This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Joachim Böhm. A scholar is included among the top collaborators of Hans‐Joachim Böhm 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 Hans‐Joachim Böhm. Hans‐Joachim Böhm 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.
Müller, Klaus & Hans‐Joachim Böhm. (2009). Facilitating the Design of Fluorinated Drugs. Chemistry & Biology. 16(11). 1130–1131. 11 indexed citations
2.
Zbinden, Katrin Groebke, U. Obst-Sander, Kurt Hilpert, et al.. (2005). Selective and orally bioavailable phenylglycine tissue factor/factor VIIa inhibitors. Bioorganic & Medicinal Chemistry Letters. 15(23). 5344–5352. 28 indexed citations
3.
Frank, B., W. Bernd Schweizer, François Diederich, et al.. (2005). Second‐Generation Inhibitors for the Metalloprotease Neprilysin Based on Bicyclic Heteroaromatic Scaffolds: Synthesis, Biological Activity, and X‐Ray Crystal‐Structure Analysis. Helvetica Chimica Acta. 88(4). 731–750. 27 indexed citations
4.
Böhm, Hans‐Joachim, Alexander Flohr, & Martin Ståhl. (2004). Scaffold hopping. Drug Discovery Today Technologies. 1(3). 217–224. 261 indexed citations
5.
Böhm, Hans‐Joachim, David W. Banner, Stefanie Bendels, et al.. (2004). Fluorine in Medicinal Chemistry. ChemBioChem. 5(5). 637–643. 1348 indexed citations breakdown →
6.
Bleicher, Konrad, Hans‐Joachim Böhm, Klaus Müller, & Alexander Alanine. (2003). Hit and lead generation: beyond high-throughput screening. Nature Reviews Drug Discovery. 2(5). 369–378. 729 indexed citations breakdown →
7.
Schneider, Gisbert & Hans‐Joachim Böhm. (2002). Virtual screening and fast automated docking methods. Drug Discovery Today. 7(1). 64–70. 279 indexed citations
8.
Winkler, F.K., David W. Banner, & Hans‐Joachim Böhm. (2001). Structure-Based Approaches in Modern Drug Discovery Research. PubMed. 123–142. 1 indexed citations
9.
Böhm, Hans‐Joachim & Gisbert Schneider. (2000). Virtual Screening for Bioactive Molecules. John Wiley & Sons, Inc. eBooks. 326–326. 111 indexed citations
10.
Böhm, Hans‐Joachim & Martin Ståhl. (2000). Structure-based library design: molecular modelling merges with combinatorial chemistry. Current Opinion in Chemical Biology. 4(3). 283–286. 36 indexed citations
11.
Böhm, Hans‐Joachim, David W. Banner, & Lutz Weber. (1999). Combinatorial docking and combinatorial chemistry: Design of potent non-peptide thrombin inhibitors. Journal of Computer-Aided Molecular Design. 13(1). 51–56. 64 indexed citations
12.
Böhm, Hans‐Joachim. (1998). Prediction of binding constants of protein ligands: A fast method for the prioritization of hits obtained from de novo design or 3D database search programs. Journal of Computer-Aided Molecular Design. 12(4). 309–309. 339 indexed citations
13.
Ståhl, Martin & Hans‐Joachim Böhm. (1998). Development of filter functions for protein–ligand docking. Journal of Molecular Graphics and Modelling. 16(3). 121–132. 44 indexed citations
14.
Klebe, G. & Hans‐Joachim Böhm. (1997). Energetic and Entropic Factors Determining Binding Affinity in Protein-Ligand Complexes. Journal of Receptors and Signal Transduction. 17(1-3). 459–473. 76 indexed citations
15.
Böhm, Hans‐Joachim. (1996). Computational tools for structure-based ligand design. Progress in Biophysics and Molecular Biology. 66(3). 197–210. 27 indexed citations
16.
Böhm, Hans‐Joachim. (1996). Current computational tools for de novo ligand design. Current Opinion in Biotechnology. 7(4). 433–436. 28 indexed citations
17.
Böhm, Hans‐Joachim, et al.. (1996). Oxygen and Nitrogen in Competitive Situations: Which is the Hydrogen‐Bond Acceptor?. Chemistry - A European Journal. 2(12). 1509–1513. 83 indexed citations
18.
Mack, Helmut, Thomas Pfeiffer, Wilfried Hornberger, Hans‐Joachim Böhm, & Hans Wolfgang Höffken. (1995). Design, Synthesis and Biological Actmty of Novel Rigid Amidino-Phenylalanine Derivatives as Inhibitors of Thrombin. Journal of enzyme inhibition. 9(1). 73–86. 16 indexed citations
19.
Böhm, Hans‐Joachim. (1993). A novel computational tool for automated structure‐based drug design. Journal of Molecular Recognition. 6(3). 131–137. 39 indexed citations
20.
Ahlrichs, Reinhart, Hans‐Joachim Böhm, Stefan Brode, K. T. Tang, & J. P. Toennies. (1988). Interaction potentials for alkali ion–rare gas and halogen ion–rare gas systems. The Journal of Chemical Physics. 88(10). 6290–6302. 149 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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