Hans‐Joachim Böhm
- Molecular Biology top 5%
- Organic Chemistry top 1%
- Computational Theory and Mathematics top 0.2%
- Atomic and Molecular Physics, and Optics top 5%
- Pharmaceutical Science top 0.2%
- Co-authors
- Martin StåhlReinhart AhlrichsGisbert SchneiderG. KlebeDavid W. BannerKonrad BleicherKlaus MüllerAlexander Alanine
- Topics
- Computational Drug Discovery Methods (18 papers)Chemical Synthesis and Analysis (12 papers)Protein Structure and Dynamics (8 papers)
- Journals
- Angewandte Chemie International EditionThe Journal of Chemical PhysicsNature Reviews Drug Discovery
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Hans‐Joachim Böhm
47 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 2.1k
- Organic Chemistry 1.7k
- Computational Theory and Mathematics 1.3k
- Atomic and Molecular Physics, and Optics 870
- Pharmaceutical Science 860
Countries citing papers authored by Hans‐Joachim Böhm
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 28 | |
| 3 | 27 | |
| 4 | 261 | |
| 5 | Fluorine in Medicinal Chemistrybreakdown → | 1348 |
| 6 | Hit and lead generation: beyond high-throughput screeningbreakdown → | 729 |
| 7 | 279 | |
| 8 | 111 | |
| 9 | 36 | |
| 10 | 64 | |
| 11 | 44 | |
| 12 | 339 | |
| 13 | 27 | |
| 14 | 83 | |
| 15 | 28 | |
| 16 | 16 | |
| 17 | 39 | |
| 18 | 149 | |
| 19 | 8 | |
| 20 | 100 |
About Hans‐Joachim Böhm
Hans‐Joachim Böhm is a scholar working on Computational Theory and Mathematics, Fluid Flow and Transfer Processes and Organic Chemistry, having authored 47 papers that have together received 5.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Chemical Synthesis and Analysis (12 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Pharmaceutical Science (860 citations), Computational Theory and Mathematics (1.3k citations) and Organic Chemistry (1.7k citations). Hans‐Joachim Böhm has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Martin Ståhl, Reinhart Ahlrichs, Gisbert Schneider, G. Klebe, David W. Banner, Konrad Bleicher, Klaus Müller, Alexander Alanine, Klaus Müller and U. Obst-Sander. Their work appears in journals such as Angewandte Chemie International Edition, The Journal of Chemical Physics and Nature Reviews Drug Discovery.
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.