Philippe T. Georgel

809 total citations
12 papers, 635 citations indexed

About

Philippe T. Georgel is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Philippe T. Georgel has authored 12 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Philippe T. Georgel's work include RNA modifications and cancer (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Epigenetics and DNA Methylation (3 papers). Philippe T. Georgel is often cited by papers focused on RNA modifications and cancer (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Epigenetics and DNA Methylation (3 papers). Philippe T. Georgel collaborates with scholars based in United States and Canada. Philippe T. Georgel's co-authors include Nicholas L. Adkins, Paul A. Wade, Jeffrey C. Hansen, Christopher L. Woodcock, Rachel A. Horowitz-Scherer, Jeffrey C. Hansen, Bhavin S. Parekh, Suming Huang, Małgorzata Wiench and Yingming Zhao and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Frontiers in Cell and Developmental Biology.

In The Last Decade

Philippe T. Georgel

11 papers receiving 625 citations

Peers

Philippe T. Georgel
Comparison fields: 5 of 77
  • Molecular Biology 493
  • Genetics 281
  • Cognitive Neuroscience 79
  • Oncology 50
  • Pathology and Forensic Medicine 46
Replace Sung-Hae L. Kang with:
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Frédéric Torès France
M Poissonnier France
Kristina Jülich United States
Kristin G. Monaghan United States
Sung-Hae L. Kang United States View profile →
Citations per field, relative to Philippe T. Georgel
Philippe T. Georgel · 1×
Citations per year, relative to Philippe T. Georgel
Philippe T. Georgel · 1×

Countries citing papers authored by Philippe T. Georgel

Since Specialization
Citations

This map shows the geographic impact of Philippe T. Georgel'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 Philippe T. Georgel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe T. Georgel more than expected).

Fields of papers citing papers by Philippe T. Georgel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe T. Georgel. 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 Philippe T. Georgel. The network helps show where Philippe T. Georgel may publish in the future.

Co-authorship network of co-authors of Philippe T. Georgel

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe T. Georgel. A scholar is included among the top collaborators of Philippe T. Georgel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philippe T. Georgel. Philippe T. Georgel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 4
2 14
3 70
4 0
5 9
6 7
7 17
8 73
9 149
10 18
11 243
12 31

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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