Christopher Hardt

583 citations
11 papers · 398 · h-index 7

Impact in

    • 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

    • Bioinformatics and Genomic Networks 3
    • Gene expression and cancer classification 2
    • Mitochondrial Function and Pathology 1
    • Protein Kinase Regulation and GTPase Signaling 1
    • Metabolism and Genetic Disorders 1

Christopher Hardt

10 papers receiving 394 citations

Peers

Christopher Hardt
Comparison fields: 5 of 90
  • Molecular Biology 233
  • Cancer Research 40
  • Geriatrics and Gerontology 7
  • Biological Psychiatry 5
  • Computational Theory and Mathematics 30
Replace Cankut Çubuk with:
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Hardt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Christopher Hardt Line = papers co-authored together Christopher Hardt links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2016303
2 202021
3 201620
4 201617
5 202211
6 201210
7 20169
8 20185
9 20251
10 20201
11 20250

About Christopher Hardt

Christopher Hardt is a scholar working on Molecular Biology, Clinical Biochemistry, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 11 papers that have together received 398 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 (2 papers), 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 (233 citations), Cancer Research (40 citations), Geriatrics and Gerontology (7 citations), Biological Psychiatry (5 citations) and Computational Theory and Mathematics (30 citations). Christopher Hardt has collaborated with scholars based in Germany, Netherlands and Norway. Frequent co-authors include Ralf Herwig, Atanas Kamburov, Matthias Lienhard, David Meierhofer, Ilka Wittig, Jos Kleinjans, Axel Rasche, Moritz E. Beber, Dennie G.A.J. Hebels and Hans Lehrach. Their work appears in journals such as Molecular & Cellular Proteomics, Nature Protocols, Advances in experimental medicine and biology, International Journal of Medical Informatics and Molecular Metabolism.

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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