Rainer Will
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Cardiomyopathy and Myosin Studies
Papers in
-
- Signaling Pathways in Disease 6
- Ubiquitin and proteasome pathways 3
- Epigenetics and DNA Methylation 3
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- MicroRNA in disease regulation 7
- Co-authors
- Norbert Frey (14 shared papers)Hugo A. Katus (13 shared papers)Stefan Wiemann (14 shared papers)Derk Frank (12 shared papers)Christian Kühn (10 shared papers)Alexander Bott (2 shared papers)Ioanna Keklikoglou (2 shared papers)Richard Lucius (2 shared papers)
- Journals
- Journal of Molecular and Cellular Cardiology (3 papers)Circulation Research (3 papers)Neuro-Oncology (3 papers)Circulation (2 papers)Oncogene (2 papers)
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Rainer Will
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Cancer Research 274
- Cardiology and Cardiovascular Medicine 238
- Molecular Biology 712
- Pathology and Forensic Medicine 130
- Parasitology 49
Countries citing papers authored by Rainer Will
This map shows the geographic impact of Rainer 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 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 Will more than expected).
Fields of papers citing papers by Rainer Will
This network shows the impact of papers produced by Rainer 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 Will. The network helps show where Rainer Will may publish in the future.
Co-authors
The 25 scholars most cited alongside Rainer 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 119 | |
| 2 | 2014 | 113 | |
| 3 | 2016 | 101 | |
| 4 | 2017 | 96 | |
| 5 | 2015 | 79 | |
| 6 | 2009 | 67 | |
| 7 | 2011 | 60 | |
| 8 | 2010 | 59 | |
| 9 | Candidate genes for cross-resistance against DNA-damaging drugs. | 2002 | 59 |
| 10 | 1997 | 56 | |
| 11 | 2007 | 51 | |
| 12 | 2012 | 51 | |
| 13 | 2010 | 46 | |
| 14 | 2010 | 43 | |
| 15 | 2005 | 41 | |
| 16 | 2018 | 37 | |
| 17 | 2007 | 35 | |
| 18 | 2016 | 35 | |
| 19 | 2010 | 26 | |
| 20 | 2012 | 18 |
About Rainer Will
Rainer Will is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Cardiology and Cardiovascular Medicine, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Signaling Pathways in Disease (6 papers), Immunotherapy and Immune Responses (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Glioma Diagnosis and Treatment (4 papers), Ubiquitin and proteasome pathways (3 papers), Turtle Biology and Conservation (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (274 citations), Cardiology and Cardiovascular Medicine (238 citations), Molecular Biology (712 citations), Pathology and Forensic Medicine (130 citations) and Parasitology (49 citations). Rainer Will has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Norbert Frey, Hugo A. Katus, Stefan Wiemann, Derk Frank, Christian Kühn, Alexander Bott, Ioanna Keklikoglou, Richard Lucius, Thomas Romig and Christian Breunig. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Circulation Research, Neuro-Oncology, Circulation and Oncogene.
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.