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
Papers in
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- Bioinformatics and Genomic Networks 4
- Microbial Metabolic Engineering and Bioproduction 2
- Gene expression and cancer classification 2
- Single-cell and spatial transcriptomics 1
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- Antimicrobial Resistance in Staphylococcus 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)Axel Rasche (1 shared paper)Jos Kleinjans (1 shared paper)Dennie G.A.J. Hebels (1 shared paper)
- Journals
- Infectious Diseases and Therapy (1 paper)Nature Protocols (1 paper)FEBS Journal (1 paper)BMC Bioinformatics (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- GermanySwedenNetherlands
In The Last Decade
Christopher Hardt
8 papers receiving 371 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 239
- Cancer Research 48
- Aging 4
- Biological Psychiatry 5
- Computational Theory and Mathematics 29
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 | 288 | |
| 2 | 2020 | 19 | |
| 3 | 2016 | 19 | |
| 4 | 2016 | 17 | |
| 5 | 2022 | 11 | |
| 6 | 2016 | 9 | |
| 7 | 2012 | 7 | |
| 8 | 2018 | 4 | |
| 9 | 2025 | 0 | |
| 10 | 2025 | 0 |
About Christopher Hardt
Christopher Hardt is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 10 papers that have together received 374 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Computational Drug Discovery Methods (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Gene expression and cancer classification (2 papers), Streptococcal Infections and Treatments (2 papers), Single-cell and spatial transcriptomics (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Molecular Biology (239 citations), Cancer Research (48 citations), Aging (4 citations), Biological Psychiatry (5 citations) and Computational Theory and Mathematics (29 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, Axel Rasche, Jos Kleinjans, Dennie G.A.J. Hebels, Moritz E. Beber and Hans Lehrach. Their work appears in journals such as Infectious Diseases and Therapy, Nature Protocols, FEBS Journal, BMC Bioinformatics 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.