Anke Doller
Impact in
- Molecular Biology top 5%
- RNA Research and Splicing
- Sphingolipid Metabolism and Signaling
- TGF-β signaling in diseases
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
Papers in
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- RNA Research and Splicing 14
- TGF-β signaling in diseases 3
- Signaling Pathways in Disease 1
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- Protease and Inhibitor Mechanisms 3
- Co-authors
- Josef M. Pfeilschifter (22 shared papers)W. Eberhardt (23 shared papers)El‐Sayed Akool (9 shared papers)Roswitha Müller (6 shared papers)Andrea Huwiler (4 shared papers)Heinfried H. Radeke (2 shared papers)Bernd‐Joachim Thiele (3 shared papers)Thilo Kähne (2 shared papers)
In The Last Decade
Anke Doller
32 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 826
- Nephrology 69
- Cancer Research 68
- Pharmacology 54
- Hematology 49
Countries citing papers authored by Anke Doller
This map shows the geographic impact of Anke Doller'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 Anke Doller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Doller more than expected).
Fields of papers citing papers by Anke Doller
This network shows the impact of papers produced by Anke Doller. 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 Anke Doller. The network helps show where Anke Doller may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Doller, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 192 | |
| 2 | 2007 | 177 | |
| 3 | 2008 | 169 | |
| 4 | 2007 | 153 | |
| 5 | 2010 | 88 | |
| 6 | 2003 | 82 | |
| 7 | 2004 | 72 | |
| 8 | 2009 | 72 | |
| 9 | 2008 | 71 | |
| 10 | 2005 | 70 | |
| 11 | 2009 | 60 | |
| 12 | 2005 | 53 | |
| 13 | 2009 | 53 | |
| 14 | 2011 | 52 | |
| 15 | 2012 | 46 | |
| 16 | 2004 | 40 | |
| 17 | 2009 | 40 | |
| 18 | 2011 | 35 | |
| 19 | 2014 | 35 | |
| 20 | 2014 | 32 |
About Anke Doller
Anke Doller is a scholar working on Molecular Biology, Cancer Research, Hematology, Cardiology and Cardiovascular Medicine and Nephrology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (14 papers), Protease and Inhibitor Mechanisms (3 papers), TGF-β signaling in diseases (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Signaling Pathways in Disease (1 paper), Microbial Natural Products and Biosynthesis (1 paper) and Mechanical Circulatory Support Devices (1 paper). The work is most often cited by research in Molecular Biology (826 citations), Nephrology (69 citations), Cancer Research (68 citations), Pharmacology (54 citations) and Hematology (49 citations). Anke Doller has collaborated with scholars based in Germany, Cuba and Australia. Frequent co-authors include Josef M. Pfeilschifter, W. Eberhardt, El‐Sayed Akool, Roswitha Müller, Andrea Huwiler, Heinfried H. Radeke, Bernd‐Joachim Thiele, Thilo Kähne, Vera Regitz‐Zagrosek and Roland Hetzer. Their work appears in journals such as Cellular Signalling, Molecular and Cellular Biology, Biochemical Pharmacology, Circulation Research 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.