Jürg Müller
Impact in
- Molecular Biology top 0.5%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Aging top 2%
Papers in
-
- Hormonal Regulation and Hypertension 14
- Co-authors
- Bernadett PappBrigitte WildKatarzyna OktabaAditya K. SenguptaMaria Cristina GambettaTetyana KlymenkoJudith A. KassisNicole J. Francis
- Journals
- Development (8 papers)Genes & Development (6 papers)The EMBO Journal (4 papers)Science (3 papers)Genetics (3 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Jürg Müller
74 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 6.3k
- Aging 106
- Genetics 936
- Plant Science 1.1k
- Cancer Research 297
Countries citing papers authored by Jürg Müller
This map shows the geographic impact of Jürg Müller'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 Jürg Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürg Müller more than expected).
Fields of papers citing papers by Jürg Müller
This network shows the impact of papers produced by Jürg Müller. 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 Jürg Müller. The network helps show where Jürg Müller may publish in the future.
Co-authors
The 25 scholars most cited alongside Jürg Müller, 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 | 9 | |
| 2 | 2017 | 7 | |
| 3 | 2017 | 95 | |
| 4 | 2010 | 17 | |
| 5 | 2009 | 257 | |
| 6 | 2009 | 201 | |
| 7 | 2009 | 66 | |
| 8 | 2008 | 165 | |
| 9 | 2007 | 212 | |
| 10 | 2005 | 64 | |
| 11 | 2004 | 42 | |
| 12 | 2004 | 207 | |
| 13 | Histone Methyltransferase Activity of a Drosophila Polycomb Group Repressor Complex Hit paper breakdown → | 2002 | 1249 |
| 14 | 2000 | 5 | |
| 15 | 2000 | 9 | |
| 16 | 1998 | 16 | |
| 17 | 1993 | 17 | |
| 18 | 1993 | 14 | |
| 19 | 1991 | 7 | |
| 20 | 1989 | 10 |
About Jürg Müller
Jürg Müller is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Pharmacology, Molecular Biology and Genetics, having authored 75 papers that have together received 7.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (37 papers), Genomics and Chromatin Dynamics (28 papers), Cancer-related gene regulation (18 papers), Hormonal Regulation and Hypertension (14 papers), RNA modifications and cancer (8 papers), Developmental Biology and Gene Regulation (8 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Molecular Biology (6.3k citations), Aging (106 citations), Genetics (936 citations), Plant Science (1.1k citations) and Cancer Research (297 citations). Jürg Müller has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Bernadett Papp, Brigitte Wild, Katarzyna Oktaba, Aditya K. Sengupta, Maria Cristina Gambetta, Tetyana Klymenko, Judith A. Kassis, Nicole J. Francis, Robert E. Kingston and Michael B. O’Connor. Their work appears in journals such as Development, Genes & Development, The EMBO Journal, Science and Genetics.
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.