Markus Deckers
Impact in
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
- Structural Biology top 5%
Papers in
-
- Mitochondrial Function and Pathology 18
- ATP Synthase and ATPases Research 17
- Photosynthetic Processes and Mechanisms 6
- RNA modifications and cancer 4
- Fungal and yeast genetics research 3
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
-
- Metabolism and Genetic Disorders 5
- Co-authors
- Peter Rehling (17 shared papers)Stefan Jakobs (6 shared papers)Daniel C. Jans (5 shared papers)Milena Vukotic (5 shared papers)Bettina Warscheid (5 shared papers)Dietmar Riedel (3 shared papers)Helmut E. Meyer (2 shared papers)David Pacheu‐Grau (4 shared papers)
In The Last Decade
Markus Deckers
25 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 87
- Clinical Biochemistry 280
- Structural Biology 36
- Molecular Biology 1.4k
- Biophysics 62
- Cell Biology 126
Countries citing papers authored by Markus Deckers
This map shows the geographic impact of Markus Deckers'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 Markus Deckers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Deckers more than expected).
Fields of papers citing papers by Markus Deckers
This network shows the impact of papers produced by Markus Deckers. 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 Markus Deckers. The network helps show where Markus Deckers may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Deckers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 173 | |
| 2 | 2006 | 167 | |
| 3 | 2020 | 167 | |
| 4 | 2013 | 152 | |
| 5 | 2011 | 147 | |
| 6 | 2010 | 103 | |
| 7 | 2015 | 76 | |
| 8 | 2015 | 58 | |
| 9 | 2019 | 58 | |
| 10 | 2010 | 57 | |
| 11 | 2019 | 42 | |
| 12 | 2016 | 40 | |
| 13 | 2012 | 39 | |
| 14 | 2020 | 39 | |
| 15 | 2020 | 38 | |
| 16 | 2011 | 34 | |
| 17 | 2014 | 29 | |
| 18 | 2016 | 25 | |
| 19 | 2018 | 23 | |
| 20 | 2016 | 23 |
About Markus Deckers
Markus Deckers is a scholar working on Molecular Biology, Clinical Biochemistry, Cell Biology, Spectroscopy and Biochemistry, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (18 papers), ATP Synthase and ATPases Research (17 papers), Photosynthetic Processes and Mechanisms (6 papers), Metabolism and Genetic Disorders (5 papers), RNA modifications and cancer (4 papers), Fungal and yeast genetics research (3 papers), RNA Research and Splicing (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Clinical Biochemistry (280 citations), Structural Biology (36 citations), Molecular Biology (1.4k citations), Biophysics (62 citations) and Cell Biology (126 citations). Markus Deckers has collaborated with scholars based in Germany, Australia and Poland. Frequent co-authors include Peter Rehling, Stefan Jakobs, Daniel C. Jans, Milena Vukotic, Bettina Warscheid, Dietmar Riedel, Helmut E. Meyer, David Pacheu‐Grau, David U. Mick and Silke Oeljeklaus. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Molecular Biology of the Cell and Journal of Molecular 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.