Christian Herhaus
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents 1
- Biochemistry top 10%
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- Cancer therapeutics and mechanisms 1
- Genomics, phytochemicals, and oxidative stress 1
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- Computational Drug Discovery Methods 2
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- Synthesis and biological activity 1
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- Machine Learning in Materials Science 1
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- Reproductive System and Pregnancy 1
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- Graph Theory and Algorithms 1
- Co-authors
- Clarissa GerhäuserHelmut BartschKarin KlimoElke H. HeißHans LehrachVolker HeiserSabine EngemannAnnett Boeddrich
- Journals
- Journal of Cheminformatics (1 paper)Helvetica Chimica Acta (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Christian Herhaus
7 papers receiving 831 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Toxicology 44
- Biochemistry 60
- Molecular Biology 636
- Biological Psychiatry 19
- Cellular and Molecular Neuroscience 116
Countries citing papers authored by Christian Herhaus
This map shows the geographic impact of Christian Herhaus'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 Christian Herhaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Herhaus more than expected).
Fields of papers citing papers by Christian Herhaus
This network shows the impact of papers produced by Christian Herhaus. 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 Christian Herhaus. The network helps show where Christian Herhaus may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christian Herhaus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 2 | |
| 2 | 2011 | 85 | |
| 3 | 2009 | 2 | |
| 4 | 2004 | 47 | |
| 5 | 2002 | 167 | |
| 6 | Nuclear Factor κB Is a Molecular Target for Sulforaphane-mediated Anti-inflammatory Mechanismsbreakdown → | 2001 | 531 |
| 7 | 1997 | 21 |
About Christian Herhaus
Christian Herhaus is a scholar working on Toxicology, Computational Theory and Mathematics, Pharmacology, Physical and Theoretical Chemistry and Analytical Chemistry, having authored 7 papers that have together received 855 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Cancer therapeutics and mechanisms (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), Synthesis and biological activity (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper), Machine Learning in Materials Science (1 paper), Reproductive System and Pregnancy (1 paper) and Graph Theory and Algorithms (1 paper). The work is most often cited by research in Toxicology (44 citations), Biochemistry (60 citations), Molecular Biology (636 citations), Biological Psychiatry (19 citations) and Cellular and Molecular Neuroscience (116 citations). Christian Herhaus has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Clarissa Gerhäuser, Helmut Bartsch, Karin Klimo, Elke H. Heiß, Hans Lehrach, Volker Heiser, Sabine Engemann, Annett Boeddrich, G. Klebe and Rudi Lurz. Their work appears in journals such as Journal of Cheminformatics, Helvetica Chimica Acta, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.
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.