Rainer D. Will
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
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- Cardiomyopathy and Myosin Studies
- Cardiac Fibrosis and Remodeling
Papers in
-
- MicroRNA in disease regulation 7
- Genetics 4
- Glioma Diagnosis and Treatment 3
- Estrogen and related hormone effects 2
- Co-authors
- Norbert Frey (13 shared papers)Hugo Albert Katus (12 shared papers)Stefan Wiemann (14 shared papers)Derk Frank (11 shared papers)Christian Kühn (10 shared papers)Ewald Münstermann (3 shared papers)Alexander Bott (2 shared papers)Ioanna Keklikoglou (2 shared papers)
- Journals
- Nature Communications (4 papers)Circulation Research (3 papers)Journal of Molecular and Cellular Cardiology (3 papers)Molecular Oncology (2 papers)OncoImmunology (2 papers)
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Rainer D. Will
50 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 63
- Cancer Research 215
- Cardiology and Cardiovascular Medicine 153
- Molecular Biology 339
- Oncology 111
- Cell Biology 56
Countries citing papers authored by Rainer D. Will
This map shows the geographic impact of Rainer D. Will'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 Rainer D. Will with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer D. Will more than expected).
Fields of papers citing papers by Rainer D. Will
This network shows the impact of papers produced by Rainer D. Will. 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 Rainer D. Will. The network helps show where Rainer D. Will may publish in the future.
Co-authors
The 25 scholars most cited alongside Rainer D. Will, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 231 | |
| 2 | 2019 | 157 | |
| 3 | 2008 | 121 | |
| 4 | 2014 | 113 | |
| 5 | 2016 | 110 | |
| 6 | 2017 | 101 | |
| 7 | 2022 | 86 | |
| 8 | 2015 | 80 | |
| 9 | 2009 | 70 | |
| 10 | 2010 | 63 | |
| 11 | Candidate genes for cross-resistance against DNA-damaging drugs. | 2002 | 62 |
| 12 | 2011 | 62 | |
| 13 | 2007 | 51 | |
| 14 | 2012 | 51 | |
| 15 | 2010 | 50 | |
| 16 | 2010 | 45 | |
| 17 | 2021 | 42 | |
| 18 | 2005 | 41 | |
| 19 | 2018 | 40 | |
| 20 | 2015 | 38 |
About Rainer D. Will
Rainer D. Will is a scholar working on Cancer Research, Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology, having authored 52 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Signaling Pathways in Disease (3 papers), Autophagy in Disease and Therapy (3 papers), Glioma Diagnosis and Treatment (3 papers), Cardiomyopathy and Myosin Studies (2 papers), Estrogen and related hormone effects (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (215 citations), Cardiology and Cardiovascular Medicine (153 citations), Molecular Biology (339 citations), Oncology (111 citations) and Cell Biology (56 citations). Rainer D. Will has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Norbert Frey, Hugo Albert Katus, Stefan Wiemann, Derk Frank, Christian Kühn, Ewald Münstermann, Alexander Bott, Ioanna Keklikoglou, Christian Breunig and Mark Lüdde. Their work appears in journals such as Nature Communications, Circulation Research, Journal of Molecular and Cellular Cardiology, Molecular Oncology and OncoImmunology.
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.