Lars Ruddigkeit
- Computational Theory and Mathematics top 0.5%
- Molecular Biology top 10%
- Materials Chemistry top 10%
- Organic Chemistry top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Jean‐Louis ReymondLorenz C. BlumRuud van DeursenMahendra AwaleRoman K. ThomasHeidi GreulichJohannes M. HeuckmannYuki Yuza
- Topics
- Computational Drug Discovery Methods (4 papers)Analytical Chemistry and Chromatography (2 papers)Chemical Synthesis and Analysis (2 papers)
- Journals
- Cancer ResearchFree Radical Biology and MedicineJournal of Chemical Information and Modeling
- Partner nations
- SwitzerlandGermanyNorway
In The Last Decade
Lars Ruddigkeit
8 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computational Theory and Mathematics 942
- Molecular Biology 751
- Materials Chemistry 703
- Organic Chemistry 233
- Pulmonary and Respiratory Medicine 141
Countries citing papers authored by Lars Ruddigkeit
This map shows the geographic impact of Lars Ruddigkeit'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 Lars Ruddigkeit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Ruddigkeit more than expected).
Fields of papers citing papers by Lars Ruddigkeit
This network shows the impact of papers produced by Lars Ruddigkeit. 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 Lars Ruddigkeit. The network helps show where Lars Ruddigkeit may publish in the future.
Co-authorship network of co-authors of Lars Ruddigkeit
This figure shows the co-authorship network connecting the top 25 collaborators of Lars Ruddigkeit. A scholar is included among the top collaborators of Lars Ruddigkeit 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 Lars Ruddigkeit. Lars Ruddigkeit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 32 | |
| 3 | 47 | |
| 4 | 99 | |
| 5 | Enumeration of 166 Billion Organic Small Molecules in the Chemical Universe Database GDB-17breakdown → | 947 |
| 6 | 77 | |
| 7 | 175 | |
| 8 | 245 |
About Lars Ruddigkeit
Lars Ruddigkeit is a scholar working on Computational Theory and Mathematics, Sensory Systems and Biochemistry, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Analytical Chemistry and Chromatography (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (942 citations), Materials Chemistry (703 citations) and Physical and Theoretical Chemistry (113 citations). Lars Ruddigkeit has collaborated with scholars based in Switzerland, Germany and Norway. Frequent co-authors include Jean‐Louis Reymond, Lorenz C. Blum, Ruud van Deursen, Mahendra Awale, Roman K. Thomas, Heidi Greulich, Johannes M. Heuckmann, Yuki Yuza, Martin Peifer and Tzu-Hsiu Chen. Their work appears in journals such as Cancer Research, Free Radical Biology and Medicine and Journal of Chemical Information and Modeling.
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.