Philipp Gebhardt

761 citations
6 papers · 611 · h-index 5

Impact in

  • Aging top 10%
    • 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

    • DNA Repair Mechanisms 1
    • Ubiquitin and proteasome pathways 1
    • Epigenetics and DNA Methylation 1
    • Gene expression and cancer classification 1
    • Insect Resistance and Genetics 1

Philipp Gebhardt

6 papers receiving 598 citations

Peers

Philipp Gebhardt
Comparison fields: 5 of 55
  • Aging 19
  • Molecular Biology 556
  • Genetics 133
  • Plant Science 95
  • Cancer Research 25
Replace Jason A. Belsky with:
Jason A. Belsky United States
Bhargavi Rao United States
Christ Leemans Netherlands
Daniel Peric‐Hupkes Netherlands
Kristin Ingvarsdottir United States
Heiko Schober Switzerland
Sandro Lein Germany
Pierre-Marie Dehé France
Michelle Wu United States
Yoshiko Mito United States
Philipp Gebhardt relative to Jason A. Belsky United States Jason A. Belsky's profile →
Citations per field
00.5×1.5×1.9×
Jason A. Belsky · 1×
Citations per year

Countries citing papers authored by Philipp Gebhardt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

6 of 6 papers shown
#Work
1 2006331
2 2008130
3 2010117
4 201318
5 200912
6 20233

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 611 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper), Epigenetics and DNA Methylation (1 paper), Gene expression and cancer classification (1 paper), Science Education and Pedagogy (1 paper), Chromosomal and Genetic Variations (1 paper), Insect Resistance and Genetics (1 paper) and Delphi Technique in Research (1 paper). The work is most often cited by research in Aging (19 citations), Molecular Biology (556 citations), Genetics (133 citations), Plant Science (95 citations) and Cancer Research (25 citations). Philipp Gebhardt has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Asifa Akhtar, Jop Kind, Herbert Holz, Juan M. Vaquerizas, Nicholas M. Luscombe, Matthias Wilm, Harald Saumweber, Mikko Taipale, Sasha Mendjan and Alessia Buscaino. Their work appears in journals such as Molecular Cell, PLoS Computational Biology, Science, Cell 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.

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