Daniel Metzger
- Genetics top 0.05%
- Estrogen and related hormone effects 35
- Molecular Biology top 0.1%
- Retinoids in leukemia and cellular processes 25
- Muscle Physiology and Disorders 16
- CRISPR and Genetic Engineering 16
- Genomics and Chromatin Dynamics 16
- Peroxisome Proliferator-Activated Receptors 14
- Developmental Neuroscience top 0.5%
- Immunology top 0.5%
- Cancer Research top 0.5%
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- Adipose Tissue and Metabolism 18
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- Nuclear Receptors and Signaling 13
- Co-authors
- Pierre ChambonMei LiShigeaki KatoRobert FeilJean‐Marc BornertJacques BrocardM. BerryHideki Chiba
- Journals
- Proceedings of the National Academy of Sciences (20 papers)Nature Communications (9 papers)Journal of Biological Chemistry (8 papers)
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Daniel Metzger
196 papers receiving 26.4k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Genetics 7.1k
- Molecular Biology 16.5k
- Developmental Neuroscience 694
- Immunology 3.5k
- Cancer Research 2.4k
Countries citing papers authored by Daniel Metzger
This map shows the geographic impact of Daniel Metzger'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 Daniel Metzger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Metzger more than expected).
Fields of papers citing papers by Daniel Metzger
This network shows the impact of papers produced by Daniel Metzger. 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 Daniel Metzger. The network helps show where Daniel Metzger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Metzger, 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 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2022 | 34 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 17 | |
| 6 | 2020 | 22 | |
| 7 | 2020 | 15 | |
| 8 | 2018 | 25 | |
| 9 | 2017 | 67 | |
| 10 | 2016 | 58 | |
| 11 | 2015 | 336 | |
| 12 | 2013 | 42 | |
| 13 | 2009 | 142 | |
| 14 | 2009 | 113 | |
| 15 | 2008 | 69 | |
| 16 | 2007 | 118 | |
| 17 | 2005 | 255 | |
| 18 | 2005 | 80 | |
| 19 | 2004 | 3 | |
| 20 | 2003 | 88 |
About Daniel Metzger
Daniel Metzger is a scholar working on Molecular Biology, Genetics and Urology, having authored 200 papers that have together received 26.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (35 papers), Retinoids in leukemia and cellular processes (25 papers), Adipose Tissue and Metabolism (18 papers), Muscle Physiology and Disorders (16 papers), CRISPR and Genetic Engineering (16 papers), Genomics and Chromatin Dynamics (16 papers), Peroxisome Proliferator-Activated Receptors (14 papers) and Nuclear Receptors and Signaling (13 papers). The work is most often cited by research in Genetics (7.1k citations), Molecular Biology (16.5k citations) and Developmental Neuroscience (694 citations). Daniel Metzger has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Pierre Chambon, Mei Li, Shigeaki Kato, Robert Feil, Pierre Chambon, Jean‐Marc Bornert, Jacques Brocard, M. Berry, Hideki Chiba and Nadia Messaddeq. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Journal of Biological Chemistry, Molecular and Cellular Biology and genesis.
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.