Benoı̂t Kanzler
Impact in
- Molecular Biology top 5%
- Developmental Biology and Gene Regulation
- Congenital heart defects research
- Wnt/β-catenin signaling in development and cancer
- Pluripotent Stem Cells Research
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Bone Metabolism and Diseases
- Genetics top 5%
Papers in
- Genetics 11
- Virus-based gene therapy research 3
-
- Developmental Biology and Gene Regulation 11
- Wnt/β-catenin signaling in development and cancer 6
- Congenital heart defects research 5
- dental development and anomalies 5
- Pluripotent Stem Cells Research 4
- Epigenetics and DNA Methylation 3
- Co-authors
- Rolf KemlerMoisés MalloAchim GosslerAlexander AulehlaBeate Brand‐SaberiBernhard G. HerrmannGergana DobrevaMarcel Dautzenberg
- Journals
- Development (6 papers)Mechanisms of Development (3 papers)The International Journal of Developmental Biology (2 papers)genesis (2 papers)Developmental Biology (2 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Benoı̂t Kanzler
33 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 2.1k
- Genetics 571
- Cancer Research 231
- Cell Biology 241
- Immunology 267
Countries citing papers authored by Benoı̂t Kanzler
This map shows the geographic impact of Benoı̂t Kanzler'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 Benoı̂t Kanzler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoı̂t Kanzler more than expected).
Fields of papers citing papers by Benoı̂t Kanzler
This network shows the impact of papers produced by Benoı̂t Kanzler. 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 Benoı̂t Kanzler. The network helps show where Benoı̂t Kanzler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benoı̂t Kanzler, 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 | 2024 | 3 | |
| 2 | 2023 | 16 | |
| 3 | 2018 | 25 | |
| 4 | 2017 | 33 | |
| 5 | 2012 | 18 | |
| 6 | 2012 | 47 | |
| 7 | 2007 | 41 | |
| 8 | 2006 | 81 | |
| 9 | 2006 | 422 | |
| 10 | 2006 | 133 | |
| 11 | 2003 | 14 | |
| 12 | 2003 | 23 | |
| 13 | 2003 | 89 | |
| 14 | 2002 | 34 | |
| 15 | 2001 | 38 | |
| 16 | 2001 | 32 | |
| 17 | 2000 | 149 | |
| 18 | 1997 | 43 | |
| 19 | 1995 | 23 | |
| 20 | 1994 | 19 |
About Benoı̂t Kanzler
Benoı̂t Kanzler is a scholar working on Genetics, Molecular Biology, Cancer Research, Microbiology and Endocrine and Autonomic Systems, having authored 33 papers that have together received 2.7k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (11 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Congenital heart defects research (5 papers), dental development and anomalies (5 papers), Pluripotent Stem Cells Research (4 papers), Virus-based gene therapy research (3 papers), Reproductive Biology and Fertility (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Genetics (571 citations), Cancer Research (231 citations), Cell Biology (241 citations) and Immunology (267 citations). Benoı̂t Kanzler has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Rolf Kemler, Moisés Mallo, Achim Gossler, Alexander Aulehla, Beate Brand‐Saberi, Bernhard G. Herrmann, Gergana Dobreva, Marcel Dautzenberg, Rudolf Grosschedl and Maria H. Chahrour. Their work appears in journals such as Development, Mechanisms of Development, The International Journal of Developmental Biology, genesis 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.