Philipp Gebhardt
Impact in
- Aging top 10%
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Nuclear Structure and Function
- CRISPR and Genetic Engineering
- Ubiquitin and proteasome pathways
Papers in
-
- Genetics, Bioinformatics, and Biomedical Research 1
- Genomics and Phylogenetic Studies 1
- Nuclear Structure and Function 1
- DNA Repair Mechanisms 1
- Genomics and Chromatin Dynamics 1
-
- Patient-Provider Communication in Healthcare 1
- Co-authors
- Asifa Akhtar (3 shared papers)Jop Kind (2 shared papers)Herbert Holz (2 shared papers)Juan M. Vaquerizas (2 shared papers)Nicholas M. Luscombe (2 shared papers)Henk G. Stunnenberg (1 shared paper)Alessia Buscaino (1 shared paper)Michiel Vermeulen (1 shared paper)
- Journals
- Molecular Cell (2 papers)PLoS Computational Biology (1 paper)Cell (1 paper)Science (1 paper)Journal of Cancer Education (1 paper)
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Philipp Gebhardt
6 papers receiving 585 citations
Peers
Comparison fields: 5 of 56
- Aging 21
- Molecular Biology 555
- Genetics 133
- Plant Science 97
- Cancer Research 26
Countries citing papers authored by Philipp Gebhardt
This map shows the geographic impact of Philipp Gebhardt'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 Philipp Gebhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Gebhardt more than expected).
Fields of papers citing papers by Philipp Gebhardt
This network shows the impact of papers produced by Philipp Gebhardt. 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 Philipp Gebhardt. The network helps show where Philipp Gebhardt may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Gebhardt, 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 | 2006 | 323 | |
| 2 | 2008 | 127 | |
| 3 | 2010 | 114 | |
| 4 | 2013 | 18 | |
| 5 | 2009 | 12 | |
| 6 | 2023 | 3 |
About Philipp Gebhardt
Philipp Gebhardt is a scholar working on Molecular Biology, General Health Professions, Sociology and Political Science, General Agricultural and Biological Sciences and Education, having authored 6 papers that have together received 597 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (1 paper), Delphi Technique in Research (1 paper), Patient-Provider Communication in Healthcare (1 paper), Genomics and Phylogenetic Studies (1 paper), Nuclear Structure and Function (1 paper), Science Education and Perceptions (1 paper), DNA Repair Mechanisms (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Aging (21 citations), Molecular Biology (555 citations), Genetics (133 citations), Plant Science (97 citations) and Cancer Research (26 citations). Philipp Gebhardt has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Asifa Akhtar, Jop Kind, Herbert Holz, Juan M. Vaquerizas, Nicholas M. Luscombe, Henk G. Stunnenberg, Alessia Buscaino, Michiel Vermeulen, Kent E. Duncan and Harald Saumweber. Their work appears in journals such as Molecular Cell, PLoS Computational Biology, Cell, Science and Journal of Cancer Education.
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.