Philipp Gebhardt

760 citations
6 papers · 597 indexed · 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

Philipp Gebhardt

6 papers receiving 585 citations

Peers

Philipp Gebhardt
Comparison fields: 5 of 56
  • Aging 21
  • Molecular Biology 555
  • Genetics 133
  • Plant Science 97
  • Cancer Research 26
Replace Jason A. Belsky with:
Jason A. Belsky United States
Christ Leemans Netherlands
Daniel Peric‐Hupkes Netherlands
Sandro Lein Germany
Bhargavi Rao United States
Pierre-Marie Dehé France
Yoshiko Mito United States
Nataliya Petryk France
Sunil Jayaramaiah Raja Germany
Guanwen Li China
Philipp Gebhardt relative to Jason A. Belsky United States Jason A. Belsky's profile →
Citations per field
00.5×1.5×1.8×
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-authorship network

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 20233
2 201318
3 2010114
4 200912
5 2008127
6 2006323

About Philipp Gebhardt

Philipp Gebhardt is a scholar working on General Agricultural and Biological Sciences, Developmental and Educational Psychology, Molecular Biology, General Health Professions and Education, having authored 6 papers that have together received 597 indexed citations. Recurring topics across this work include Nuclear Structure and Function (1 paper), Delphi Technique in Research (1 paper), Science Education and Pedagogy (1 paper), DNA Repair Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper), Science Education and Perceptions (1 paper), Chromosomal and Genetic Variations (1 paper) and Epigenetics and DNA Methylation (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, Michiel Vermeulen, Sasha Mendjan, Kent E. Duncan, Henk G. Stunnenberg and Mikko Taipale. Their work appears in journals such as Molecular Cell, Cell, PLoS Computational Biology, 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.

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