Rainer Will
- Cancer Research top 5%
- MicroRNA in disease regulation 8
- Molecular Biology top 10%
- Signaling Pathways in Disease 8
- Ubiquitin and proteasome pathways 4
- RNA modifications and cancer 4
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- Cardiomyopathy and Myosin Studies 7
- Cardiac Fibrosis and Remodeling 5
- Pathology and Forensic Medicine top 10%
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- Immunotherapy and Immune Responses 7
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- Glioma Diagnosis and Treatment 5
- Co-authors
- Hugo A. KatusNorbert FreyStefan WiemannDerk FrankChristian KühnAlexander BottIoanna KeklikoglouChristian Breunig
- Journals
- Journal of Molecular and Cellular Cardiology (3 papers)Circulation Research (3 papers)Neuro-Oncology (3 papers)
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Rainer Will
45 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Cancer Research 311
- Molecular Biology 763
- Cardiology and Cardiovascular Medicine 249
- Pathology and Forensic Medicine 138
- Oncology 202
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 0 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 8 | |
| 12 | 2018 | 35 | |
| 13 | 2015 | 78 | |
| 14 | 2012 | 47 | |
| 15 | 2010 | 45 | |
| 16 | 2010 | 26 | |
| 17 | 2009 | 64 | |
| 18 | 2008 | 116 | |
| 19 | 2004 | 14 | |
| 20 | 1997 | 55 |
About Rainer Will
Rainer Will is a scholar working on Cancer Research, Genetics, Immunology, Molecular Biology and Virology, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Signaling Pathways in Disease (8 papers), Immunotherapy and Immune Responses (7 papers), Cardiomyopathy and Myosin Studies (7 papers), Glioma Diagnosis and Treatment (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Ubiquitin and proteasome pathways (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (311 citations), Molecular Biology (763 citations), Cardiology and Cardiovascular Medicine (249 citations), Pathology and Forensic Medicine (138 citations) and Oncology (202 citations). Rainer Will has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Hugo A. Katus, Norbert Frey, Stefan Wiemann, Derk Frank, Christian Kühn, Alexander Bott, Ioanna Keklikoglou, Christian Breunig, Thomas Romig and Richard Lucius. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Circulation Research, Neuro-Oncology, Circulation and Cancers.
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.