Lars Ruddigkeit

2.5k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Lars Ruddigkeit is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Lars Ruddigkeit has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Spectroscopy. Recurrent topics in Lars Ruddigkeit's work include Computational Drug Discovery Methods (4 papers), Analytical Chemistry and Chromatography (2 papers) and Chemical Synthesis and Analysis (2 papers). Lars Ruddigkeit is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Analytical Chemistry and Chromatography (2 papers) and Chemical Synthesis and Analysis (2 papers). Lars Ruddigkeit collaborates with scholars based in Switzerland, Germany and Norway. Lars Ruddigkeit's 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 and has published in prestigious journals such as Cancer Research, Free Radical Biology and Medicine and Journal of Chemical Information and Modeling.

In The Last Decade

Lars Ruddigkeit

8 papers receiving 1.6k citations

Hit Papers

Enumeration of 166 Billion Organic Small Molecules in the... 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Ruddigkeit Switzerland 8 942 751 703 233 141 8 1.6k
Fuqiang Ban Canada 28 1.4k 1.5× 1.6k 2.1× 459 0.7× 441 1.9× 416 3.0× 64 3.0k
José S. Duca United States 25 817 0.9× 1.1k 1.5× 373 0.5× 380 1.6× 34 0.2× 56 2.1k
Nikolaus Stiefl Switzerland 20 779 0.8× 742 1.0× 393 0.6× 198 0.8× 34 0.2× 43 1.5k
Yan A. Ivanenkov Russia 28 869 0.9× 1.1k 1.5× 535 0.8× 531 2.3× 97 0.7× 95 2.4k
Xueliang Fang China 16 1.4k 1.5× 2.3k 3.1× 472 0.7× 339 1.5× 83 0.6× 39 3.0k
William R. Pitt United Kingdom 24 691 0.7× 1.3k 1.8× 311 0.4× 625 2.7× 34 0.2× 53 2.4k
Ian A. Watson United States 19 560 0.6× 480 0.6× 170 0.2× 201 0.9× 61 0.4× 40 1.2k
R. Aldrin Denny United States 20 341 0.4× 547 0.7× 318 0.5× 203 0.9× 45 0.3× 36 1.2k
Alan C. Cheng United States 24 737 0.8× 1.3k 1.7× 259 0.4× 263 1.1× 30 0.2× 45 1.8k
Hans Briem Germany 22 601 0.6× 802 1.1× 189 0.3× 393 1.7× 86 0.6× 40 1.4k

Countries citing papers authored by Lars Ruddigkeit

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

8 of 8 papers shown
1.
2.
Ruddigkeit, Lars, Mahendra Awale, & Jean‐Louis Reymond. (2014). Expanding the fragrance chemical space for virtual screening. Journal of Cheminformatics. 6(1). 27–27. 32 indexed citations
3.
Piegholdt, Stefanie, Kathrin Pallauf, Tuba Esatbeyoglu, et al.. (2014). Biochanin A and prunetin improve epithelial barrier function in intestinal CaCo-2 cells via downregulation of ERK, NF-κB, and tyrosine phosphorylation. Free Radical Biology and Medicine. 70. 255–264. 47 indexed citations
4.
Reymond, Jean‐Louis, Lars Ruddigkeit, Lorenz C. Blum, & Ruud van Deursen. (2012). The enumeration of chemical space. Wiley Interdisciplinary Reviews Computational Molecular Science. 2(5). 717–733. 99 indexed citations
5.
Ruddigkeit, Lars, Ruud van Deursen, Lorenz C. Blum, & Jean‐Louis Reymond. (2012). Enumeration of 166 Billion Organic Small Molecules in the Chemical Universe Database GDB-17. Journal of Chemical Information and Modeling. 52(11). 2864–2875. 947 indexed citations breakdown →
6.
Ruddigkeit, Lars, Lorenz C. Blum, & Jean‐Louis Reymond. (2012). Visualization and Virtual Screening of the Chemical Universe Database GDB-17. Journal of Chemical Information and Modeling. 53(1). 56–65. 77 indexed citations
7.
Sos, Martin L., Haridas B. Rode, Stefanie Heynck, et al.. (2010). Chemogenomic Profiling Provides Insights into the Limited Activity of Irreversible EGFR Inhibitors in Tumor Cells Expressing the T790M EGFR Resistance Mutation. Cancer Research. 70(3). 868–874. 175 indexed citations
8.
Reymond, Jean‐Louis, Ruud van Deursen, Lorenz C. Blum, & Lars Ruddigkeit. (2010). Chemical space as a source for new drugs. MedChemComm. 1(1). 30–30. 245 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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