Marcus Krüger
- Geriatrics and Gerontology top 0.5%
- Aging top 1%
- Molecular Biology top 0.5%
- Muscle Physiology and Disorders 21
- Mitochondrial Function and Pathology 19
- Ubiquitin and proteasome pathways 13
- RNA Research and Splicing 13
- Cancer Research top 1%
- Cell Biology top 0.5%
-
- Advanced Proteomics Techniques and Applications 13
-
- Adipose Tissue and Metabolism 13
-
- Cardiomyopathy and Myosin Studies 12
-
- Autophagy in Disease and Therapy 11
- Co-authors
- Thomas BraunHendrik NolteSoraya HölperMatthias MannThomas BoettgerDidier Y. R. StainierZacharias KontarakisAndrea Rossi
- Journals
- Nature Communications (11 papers)Cell Reports (7 papers)Proceedings of the National Academy of Sciences (7 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Marcus Krüger
183 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Geriatrics and Gerontology 477
- Aging 205
- Molecular Biology 7.2k
- Cancer Research 1.6k
- Cell Biology 1.6k
Countries citing papers authored by Marcus Krüger
This map shows the geographic impact of Marcus Krüger'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 Marcus Krüger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Krüger more than expected).
Fields of papers citing papers by Marcus Krüger
This network shows the impact of papers produced by Marcus Krüger. 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 Marcus Krüger. The network helps show where Marcus Krüger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcus Krüger, 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 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 41 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 36 | |
| 12 | 2019 | 25 | |
| 13 | 2019 | 25 | |
| 14 | 2017 | 66 | |
| 15 | The Failing Heart Relies on Ketone Bodies as a Fuelbreakdown → | 2016 | 549 |
| 16 | 2014 | 18 | |
| 17 | 2014 | 117 | |
| 18 | 2013 | 143 | |
| 19 | 2013 | 33 | |
| 20 | 2011 | 25 |
About Marcus Krüger
Marcus Krüger is a scholar working on Aging, Cell Biology, Molecular Biology, Geriatrics and Gerontology and Immunology and Allergy, having authored 189 papers that have together received 10.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (21 papers), Mitochondrial Function and Pathology (19 papers), Ubiquitin and proteasome pathways (13 papers), Advanced Proteomics Techniques and Applications (13 papers), Adipose Tissue and Metabolism (13 papers), RNA Research and Splicing (13 papers), Cardiomyopathy and Myosin Studies (12 papers) and Autophagy in Disease and Therapy (11 papers). The work is most often cited by research in Geriatrics and Gerontology (477 citations), Aging (205 citations), Molecular Biology (7.2k citations), Cancer Research (1.6k citations) and Cell Biology (1.6k citations). Marcus Krüger has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Thomas Braun, Hendrik Nolte, Soraya Hölper, Matthias Mann, Thomas Boettger, Didier Y. R. Stainier, Zacharias Kontarakis, Andrea Rossi, Claudia Gerri and Sara Zanivan. Their work appears in journals such as Nature Communications, Cell Reports, Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Biological Chemistry.
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.