Elena E. Pohl
Impact in
- Nephrology top 2%
- Parathyroid Disorders and Treatments
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
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- Mitochondrial Function and Pathology 31
- Lipid Membrane Structure and Behavior 17
- ATP Synthase and ATPases Research 5
- Physiology 38
- Adipose Tissue and Metabolism 37
- Co-authors
- Robert Nitsch (8 shared papers)Anne Rupprecht (27 shared papers)Alina Smorodchenko (17 shared papers)Agnieszka Rybak‐Wolf (1 shared paper)Lena Smirnova (1 shared paper)Christine Brandt (1 shared paper)F. Gregory Wulczyn (1 shared paper)Heiko Fuchs (1 shared paper)
In The Last Decade
Elena E. Pohl
84 papers receiving 3.8k citations
Elena E. Pohl's Hit Papers
Peers
Comparison fields: 5 of 132
- Nephrology 380
- Cancer Research 637
- Developmental Neuroscience 148
- Aging 61
- Molecular Biology 2.2k
Countries citing papers authored by Elena E. Pohl
This map shows the geographic impact of Elena E. Pohl'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 Elena E. Pohl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena E. Pohl more than expected).
Fields of papers citing papers by Elena E. Pohl
This network shows the impact of papers produced by Elena E. Pohl. 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 Elena E. Pohl. The network helps show where Elena E. Pohl may publish in the future.
Co-authors
The 25 scholars most cited alongside Elena E. Pohl, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A feedback loop comprising lin-28 and let-7 controls pre-let-7 maturation during neural stem-cell commitment Hit paper breakdown → | 2008 | 649 |
| 2 | 2014 | 248 | |
| 3 | 2013 | 248 | |
| 4 | 2005 | 177 | |
| 5 | 2014 | 153 | |
| 6 | 2011 | 130 | |
| 7 | 2005 | 124 | |
| 8 | 2004 | 114 | |
| 9 | 2007 | 93 | |
| 10 | 2002 | 89 | |
| 11 | 2004 | 85 | |
| 12 | 2006 | 83 | |
| 13 | 2019 | 74 | |
| 14 | 2018 | 68 | |
| 15 | 2010 | 64 | |
| 16 | 1997 | 58 | |
| 17 | 2015 | 58 | |
| 18 | 2009 | 54 | |
| 19 | 2014 | 52 | |
| 20 | 2007 | 50 |
About Elena E. Pohl
Elena E. Pohl is a scholar working on Molecular Biology, Physiology, Cell Biology, Immunology and Biochemistry, having authored 91 papers that have together received 3.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (37 papers), Mitochondrial Function and Pathology (31 papers), Lipid Membrane Structure and Behavior (17 papers), Muscle metabolism and nutrition (9 papers), Lipid metabolism and biosynthesis (6 papers), ATP Synthase and ATPases Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Nephrology (380 citations), Cancer Research (637 citations), Developmental Neuroscience (148 citations), Aging (61 citations) and Molecular Biology (2.2k citations). Elena E. Pohl has collaborated with scholars based in Austria, Germany and Czechia. Frequent co-authors include Robert Nitsch, Anne Rupprecht, Alina Smorodchenko, Agnieszka Rybak‐Wolf, Lena Smirnova, Christine Brandt, F. Gregory Wulczyn, Heiko Fuchs, Peter Pohl and Olga Jovanović. Their work appears in journals such as Biophysical Journal, Biochimica et Biophysica Acta (BBA) - Biomembranes, Biochimica et Biophysica Acta (BBA) - Bioenergetics, Free Radical Biology and Medicine and Biomolecules.
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.