Natalia Gebert
Impact in
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
- Molecular Biology top 10%
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- Photosynthetic Processes and Mechanisms
- RNA and protein synthesis mechanisms
Papers in
-
- Mitochondrial Function and Pathology 9
- ATP Synthase and ATPases Research 7
- RNA modifications and cancer 3
- Photosynthetic Processes and Mechanisms 1
- Redox biology and oxidative stress 1
- RNA and protein synthesis mechanisms 1
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- Metabolism and Genetic Disorders 4
- Co-authors
- Nils Wiedemann (7 shared papers)Nikolaus Pfanner (7 shared papers)Peter Rehling (4 shared papers)Bernard Guiard (4 shared papers)Thomas Becker (2 shared papers)Xue Li Guan (2 shared papers)Stephan Kutik (2 shared papers)Agnieszka Chacińska (2 shared papers)
- Journals
- Molecular Biology of the Cell (1 paper)Current Biology (1 paper)Journal of Biological Chemistry (1 paper)EMBO Reports (1 paper)Cell Metabolism (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Natalia Gebert
9 papers receiving 740 citations
Peers
Comparison fields: 5 of 53
- Clinical Biochemistry 253
- Molecular Biology 690
- Biochemistry 44
- Cell Biology 80
- Aging 4
Countries citing papers authored by Natalia Gebert
This map shows the geographic impact of Natalia 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 Natalia Gebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Gebert more than expected).
Fields of papers citing papers by Natalia Gebert
This network shows the impact of papers produced by Natalia 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 Natalia Gebert. The network helps show where Natalia Gebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Natalia 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
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 200 | |
| 2 | 2009 | 142 | |
| 3 | 2008 | 111 | |
| 4 | 2012 | 61 | |
| 5 | 2013 | 60 | |
| 6 | 2008 | 52 | |
| 7 | 2016 | 49 | |
| 8 | 2008 | 46 | |
| 9 | 2010 | 27 |
About Natalia Gebert
Natalia Gebert is a scholar working on Molecular Biology, Clinical Biochemistry, Epidemiology, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 748 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), ATP Synthase and ATPases Research (7 papers), Metabolism and Genetic Disorders (4 papers), RNA modifications and cancer (3 papers), Photosynthetic Processes and Mechanisms (1 paper), Redox biology and oxidative stress (1 paper), Autophagy in Disease and Therapy (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Clinical Biochemistry (253 citations), Molecular Biology (690 citations), Biochemistry (44 citations), Cell Biology (80 citations) and Aging (4 citations). Natalia Gebert has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Nils Wiedemann, Nikolaus Pfanner, Peter Rehling, Bernard Guiard, Thomas Becker, Xue Li Guan, Stephan Kutik, Agnieszka Chacińska, Markus R. Wenk and Diana Stojanovski. Their work appears in journals such as Molecular Biology of the Cell, Current Biology, Journal of Biological Chemistry, EMBO Reports and Cell Metabolism.
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.