Florian L. Müller
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms 8
- Physiology top 1%
- Adipose Tissue and Metabolism 4
- Molecular Biology top 1%
- Mitochondrial Function and Pathology 15
- Muscle Physiology and Disorders 10
- ATP Synthase and ATPases Research 8
- Photosynthetic Processes and Mechanisms 4
- Rehabilitation top 1%
- Developmental Neuroscience top 5%
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- Amyotrophic Lateral Sclerosis Research 4
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- Enzyme Structure and Function 4
- Co-authors
- Holly Van RemmenYuhong LiuArlan RichardsonYoungmok C. JangMichael S. LustgartenRonald A. DePinhoVictoria C. YanDavid Kramer
- Cited by
- AgingPhysiologyMolecular Biology
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Florian L. Müller
68 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Aging 729
- Physiology 1.8k
- Molecular Biology 4.1k
- Rehabilitation 379
- Developmental Neuroscience 168
Countries citing papers authored by Florian L. Müller
This map shows the geographic impact of Florian L. 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 Florian L. Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian L. Müller more than expected).
Fields of papers citing papers by Florian L. Müller
This network shows the impact of papers produced by Florian L. 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 Florian L. Müller. The network helps show where Florian L. Müller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Florian L. 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 | 6 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 40 | |
| 6 | 2021 | 13 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 41 | |
| 9 | 2019 | 8 | |
| 10 | 2016 | 7 | |
| 11 | 2012 | 83 | |
| 12 | 2012 | 70 | |
| 13 | 2011 | 45 | |
| 14 | Telomerase reactivation reverses tissue degeneration in aged telomerase-deficient micebreakdown → | 2010 | 598 |
| 15 | Oxidative Stress in Aging · From Model Systems to Human Diseases | 2008 | 24 |
| 16 | 2008 | 21 | |
| 17 | 2006 | 196 | |
| 18 | 2005 | 2 | |
| 19 | 2004 | 43 | |
| 20 | 2000 | 146 |
About Florian L. Müller
Florian L. Müller is a scholar working on Aging, Molecular Biology and Neurology, having authored 71 papers that have together received 6.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (15 papers), Muscle Physiology and Disorders (10 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), ATP Synthase and ATPases Research (8 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Enzyme Structure and Function (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Aging (729 citations), Physiology (1.8k citations) and Molecular Biology (4.1k citations). Florian L. Müller has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Holly Van Remmen, Yuhong Liu, Arlan Richardson, Youngmok C. Jang, Michael S. Lustgarten, Ronald A. DePinho, Victoria C. Yan, David Kramer, Arunabh Bhattacharya and Ji-Hye Paik. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Medicine.
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.