Michael Gebert
Impact in
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- Circadian rhythm and melatonin
- Molecular Biology top 10%
- Mitochondrial Function and Pathology
- Fungal and yeast genetics research
Papers in
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- Mitochondrial Function and Pathology 11
- Ion channel regulation and function 1
- ATP Synthase and ATPases Research 1
- Heat shock proteins research 1
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- Plant Molecular Biology Research 5
- Plant nutrient uptake and metabolism 2
- Co-authors
- Martin van der Laan (9 shared papers)Nikolaus Pfanner (7 shared papers)Volker Knoop (3 shared papers)Karolin Eifler (2 shared papers)Nils Wiedemann (3 shared papers)Silke Oeljeklaus (4 shared papers)Bettina Warscheid (4 shared papers)Pieter Bas Kwak (2 shared papers)
- Journals
- Nature Communications (5 papers)Molecular Cell (3 papers)Biochimica et Biophysica Acta (BBA) - Bioenergetics (2 papers)Cell Reports (2 papers)Current Opinion in Cell Biology (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Michael Gebert
21 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 77
- Endocrine and Autonomic Systems 192
- Molecular Biology 957
- Plant Science 466
- Nutrition and Dietetics 56
- Structural Biology 9
Countries citing papers authored by Michael Gebert
This map shows the geographic impact of Michael Gebert'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 Michael Gebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gebert more than expected).
Fields of papers citing papers by Michael Gebert
This network shows the impact of papers produced by Michael Gebert. 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 Michael Gebert. The network helps show where Michael Gebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Gebert, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 354 | |
| 2 | 2017 | 192 | |
| 3 | 2009 | 142 | |
| 4 | 2005 | 137 | |
| 5 | 2018 | 131 | |
| 6 | 2011 | 119 | |
| 7 | 2012 | 80 | |
| 8 | 2014 | 78 | |
| 9 | 2018 | 76 | |
| 10 | 2012 | 64 | |
| 11 | 2009 | 56 | |
| 12 | 2013 | 47 | |
| 13 | 2013 | 46 | |
| 14 | 2011 | 40 | |
| 15 | 2020 | 36 | |
| 16 | 2014 | 26 | |
| 17 | 2023 | 22 | |
| 18 | 2014 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2023 | 11 |
About Michael Gebert
Michael Gebert is a scholar working on Molecular Biology, Plant Science, Endocrine and Autonomic Systems, Spectroscopy and Genetics, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (11 papers), Plant Molecular Biology Research (5 papers), Circadian rhythm and melatonin (2 papers), Plant nutrient uptake and metabolism (2 papers), Ion channel regulation and function (1 paper), ATP Synthase and ATPases Research (1 paper), Heat shock proteins research (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (192 citations), Molecular Biology (957 citations), Plant Science (466 citations), Nutrition and Dietetics (56 citations) and Structural Biology (9 citations). Michael Gebert has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Martin van der Laan, Nikolaus Pfanner, Volker Knoop, Karolin Eifler, Nils Wiedemann, Silke Oeljeklaus, Bettina Warscheid, Pieter Bas Kwak, Charles J. Weitz and Alfred G. Tamayo. Their work appears in journals such as Nature Communications, Molecular Cell, Biochimica et Biophysica Acta (BBA) - Bioenergetics, Cell Reports and Current Opinion in Cell 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.