Lorenz C. Blum
- Computational Theory and Mathematics top 0.2%
- Molecular Biology top 5%
- Materials Chemistry top 5%
- Spectroscopy top 1%
- Organic Chemistry top 10%
- Co-authors
- Jean‐Louis ReymondRuud van DeursenLars RuddigkeitBen C. CollinsLudovic GilletRuedi AebersoldKong T. NguyenWitold Wolski
- Topics
- Computational Drug Discovery Methods (12 papers)Analytical Chemistry and Chromatography (5 papers)Chemical Synthesis and Analysis (3 papers)
- Partner nations
- SwitzerlandGermanyCanada
In The Last Decade
Lorenz C. Blum
18 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Computational Theory and Mathematics 1.6k
- Molecular Biology 1.5k
- Materials Chemistry 1.1k
- Spectroscopy 594
- Organic Chemistry 271
Countries citing papers authored by Lorenz C. Blum
This map shows the geographic impact of Lorenz C. Blum'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 Lorenz C. Blum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenz C. Blum more than expected).
Fields of papers citing papers by Lorenz C. Blum
This network shows the impact of papers produced by Lorenz C. Blum. 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 Lorenz C. Blum. The network helps show where Lorenz C. Blum may publish in the future.
Co-authorship network of co-authors of Lorenz C. Blum
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenz C. Blum. A scholar is included among the top collaborators of Lorenz C. Blum 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 Lorenz C. Blum. Lorenz C. Blum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 236 | |
| 3 | 272 | |
| 4 | 31 | |
| 5 | 99 | |
| 6 | Enumeration of 166 Billion Organic Small Molecules in the Chemical Universe Database GDB-17breakdown → | 947 |
| 7 | 48 | |
| 8 | 77 | |
| 9 | 24 | |
| 10 | 47 | |
| 11 | 27 | |
| 12 | 24 | |
| 13 | 42 | |
| 14 | 245 | |
| 15 | 37 | |
| 16 | 81 | |
| 17 | 970 Million Druglike Small Molecules for Virtual Screening in the Chemical Universe Database GDB-13breakdown → | 571 |
| 18 | 23 |
About Lorenz C. Blum
Lorenz C. Blum is a scholar working on Computational Theory and Mathematics, Spectroscopy and Physical and Theoretical Chemistry, having authored 18 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Analytical Chemistry and Chromatography (5 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Spectroscopy (594 citations) and Materials Chemistry (1.1k citations). Lorenz C. Blum has collaborated with scholars based in Switzerland, Germany and Canada. Frequent co-authors include Jean‐Louis Reymond, Ruud van Deursen, Lars Ruddigkeit, Ben C. Collins, Ludovic Gillet, Ruedi Aebersold, Kong T. Nguyen, Witold Wolski, Silke Gillessen and Wolfram Jochum. Their work appears in journals such as Journal of the American Chemical Society, Nature Medicine and Journal of Medicinal Chemistry.
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.