Christopher Hardt
Impact in
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- Bioinformatics and Genomic Networks
- Muscle Physiology and Disorders
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- Metabolism, Diabetes, and Cancer
Papers in
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- Bioinformatics and Genomic Networks 4
- Mechanisms of cancer metastasis 1
- Protein Kinase Regulation and GTPase Signaling 1
- Mitochondrial Function and Pathology 1
- Metabolism, Diabetes, and Cancer 1
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- Streptococcal Infections and Treatments 3
- 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)Jos Kleinjans (1 shared paper)Dennie G.A.J. Hebels (1 shared paper)Axel Rasche (1 shared paper)
- Journals
- Infectious Diseases and Therapy (1 paper)BMC Bioinformatics (1 paper)FEBS Journal (1 paper)International Journal of Medical Informatics (1 paper)Database (1 paper)
- Partner nations
- GermanyNorwayNetherlands
In The Last Decade
Christopher Hardt
10 papers receiving 439 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 186
- Cancer Research 32
- Developmental Neuroscience 6
- Biological Psychiatry 2
- Genetics 42
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 | 344 | |
| 2 | 2020 | 23 | |
| 3 | 2016 | 20 | |
| 4 | 2016 | 18 | |
| 5 | 2022 | 11 | |
| 6 | 2012 | 10 | |
| 7 | 2016 | 9 | |
| 8 | 2018 | 5 | |
| 9 | 2020 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 0 |
About Christopher Hardt
Christopher Hardt is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Health Information Management, Information Systems and Management and Epidemiology, having authored 11 papers that have together received 442 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Streptococcal Infections and Treatments (3 papers), Sepsis Diagnosis and Treatment (2 papers), Mechanisms of cancer metastasis (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Mitochondrial Function and Pathology (1 paper), Clinical Laboratory Practices and Quality Control (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Molecular Biology (186 citations), Cancer Research (32 citations), Developmental Neuroscience (6 citations), Biological Psychiatry (2 citations) and Genetics (42 citations). Christopher Hardt has collaborated with scholars based in Germany, Norway and Netherlands. Frequent co-authors include Ralf Herwig, Atanas Kamburov, Matthias Lienhard, Ilka Wittig, David Meierhofer, Jos Kleinjans, Dennie G.A.J. Hebels, Axel Rasche, Moritz E. Beber and Paul T. Pfluger. Their work appears in journals such as Infectious Diseases and Therapy, BMC Bioinformatics, FEBS Journal, International Journal of Medical Informatics and Database.
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.