Christopher Hardt
Impact in
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- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- RNA modifications and cancer
- Metabolomics and Mass Spectrometry Studies
- Histone Deacetylase Inhibitors Research
Papers in
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- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
- Mitochondrial Function and Pathology 1
- Protein Kinase Regulation and GTPase Signaling 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Ralf Herwig (6 shared papers)Atanas Kamburov (3 shared papers)Matthias Lienhard (1 shared paper)Ilka Wittig (1 shared paper)David Meierhofer (1 shared paper)Dennie G.A.J. Hebels (1 shared paper)Jos Kleinjans (1 shared paper)Moritz E. Beber (1 shared paper)
- Journals
- FEBS Journal (1 paper)Nature Protocols (1 paper)Molecular Metabolism (1 paper)International Journal of Medical Informatics (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- GermanySwedenNetherlands
In The Last Decade
Christopher Hardt
9 papers receiving 381 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 220
- Cancer Research 39
- Geriatrics and Gerontology 7
- Biological Psychiatry 5
- Aging 3
Countries citing papers authored by Christopher Hardt
This map shows the geographic impact of Christopher Hardt'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 Christopher Hardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Hardt more than expected).
Fields of papers citing papers by Christopher Hardt
This network shows the impact of papers produced by Christopher Hardt. 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 Christopher Hardt. The network helps show where Christopher Hardt may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Hardt, 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 | 2016 | 296 | |
| 2 | 2020 | 20 | |
| 3 | 2016 | 19 | |
| 4 | 2016 | 17 | |
| 5 | 2022 | 11 | |
| 6 | 2016 | 9 | |
| 7 | 2012 | 7 | |
| 8 | 2018 | 4 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 0 |
About Christopher Hardt
Christopher Hardt is a scholar working on Molecular Biology, Computational Theory and Mathematics, Clinical Biochemistry, Public Health, Environmental and Occupational Health and Biochemistry, having authored 10 papers that have together received 384 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Computational Drug Discovery Methods (2 papers), Gene expression and cancer classification (2 papers), Streptococcal Infections and Treatments (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Mitochondrial Function and Pathology (1 paper), Metabolism and Genetic Disorders (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Molecular Biology (220 citations), Cancer Research (39 citations), Geriatrics and Gerontology (7 citations), Biological Psychiatry (5 citations) and Aging (3 citations). Christopher Hardt has collaborated with scholars based in Germany, Sweden and Netherlands. Frequent co-authors include Ralf Herwig, Atanas Kamburov, Matthias Lienhard, Ilka Wittig, David Meierhofer, Dennie G.A.J. Hebels, Jos Kleinjans, Moritz E. Beber, Axel Rasche and Hans Lehrach. Their work appears in journals such as FEBS Journal, Nature Protocols, Molecular Metabolism, International Journal of Medical Informatics and Molecular & Cellular Proteomics.
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.