Raphael Kopan

32.7k citations
163 papers · 25.2k indexed · 9 hit papers · h-index 77

Raphael Kopan

160 papers receiving 24.9k citations

Hit Papers

AHR drives the development of gut ILC22 c...638199520262005201550010001.5k2.0k2.5k

Peers

Raphael Kopan
Comparison fields: 5 of 155
  • Molecular Biology 17.5k
  • Cell Biology 3.7k
  • Developmental Neuroscience 886
  • Aging 329
  • Immunology and Allergy 1.1k
Replace Daniel Metzger with:
Daniel Metzger France
Makoto M. Taketo Japan
Nick Barker Singapore
Randall T. Moon United States
Hiromitsu Nakauchi Japan
Roel Nusse United States
Shin‐Ichi Nishikawa Japan
Rudolf Grosschedl United States
Amy J. Wagers United States
Simon J. Conway United States
Raphael Kopan relative to Daniel Metzger France Daniel Metzger's profile →
Citations per field
00.5×1.5×2.5×
Daniel Metzger · 1×
Citations per year

Countries citing papers authored by Raphael Kopan

Since Specialization
Citations

This map shows the geographic impact of Raphael Kopan'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 Raphael Kopan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Kopan more than expected).

Fields of papers citing papers by Raphael Kopan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphael Kopan. 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 Raphael Kopan. The network helps show where Raphael Kopan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Raphael Kopan, 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 Raphael Kopan Line = papers co-authored together Raphael Kopan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20230
4 202314
5 202215
6 202016
7 2017280
8 201616
9 20142
10 201327
11 201278
12 2010181
13 200943
14 2009174
15 200849
16 2007262
17 200653
18 200583
19
Signalling downstream of activated mammalian Notchbreakdown →
19951190
20 1988327

About Raphael Kopan

Raphael Kopan is a scholar working on Urology, Molecular Biology and Immunology and Allergy, having authored 163 papers that have together received 25.2k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (55 papers), Renal and related cancers (31 papers), Pluripotent Stem Cells Research (17 papers), Epigenetics and DNA Methylation (16 papers), Alzheimer's disease research and treatments (14 papers), Hedgehog Signaling Pathway Studies (13 papers), Wnt/β-catenin signaling in development and cancer (13 papers) and Genetic and Kidney Cyst Diseases (13 papers). The work is most often cited by research in Molecular Biology (17.5k citations), Cell Biology (3.7k citations) and Developmental Neuroscience (886 citations). Raphael Kopan has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Ma. Xenia G. Ilagan, Eric H. Schroeter, Jeff S. Mumm, Elaine Fuchs, Jeffrey S. Nye, Alison Goate, Michael S. Wolfe, Dennis J. Selkoe, William J. Ray and Frank Costantini. Their work appears in journals such as Development, Journal of Biological Chemistry, Developmental Cell, Proceedings of the National Academy of Sciences and Developmental Biology.

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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