Michael Wanzel
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Ubiquitin and proteasome pathways 5
- RNA modifications and cancer 4
- CRISPR and Genetic Engineering 4
- DNA Repair Mechanisms 2
- Cell death mechanisms and regulation 2
- Oncology 9
- Cancer-related Molecular Pathways 7
- Co-authors
- Martin Eilers (10 shared papers)Steffi Herold (5 shared papers)Roland Moll (2 shared papers)Dong Zhang (1 shared paper)Roderick L. Beijersbergen (1 shared paper)Nikita Popov (1 shared paper)Stephen J. Elledge (1 shared paper)René Bernards (1 shared paper)
- Journals
- Nature Cell Biology (3 papers)Nature Communications (2 papers)International Journal of Cancer (2 papers)Molecular Cancer (1 paper)Signal Transduction and Targeted Therapy (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Michael Wanzel
26 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 100
- Oncology 555
- Hematology 221
- Molecular Biology 1.2k
- Cancer Research 224
- Cell Biology 136
Countries citing papers authored by Michael Wanzel
This map shows the geographic impact of Michael Wanzel'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 Michael Wanzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wanzel more than expected).
Fields of papers citing papers by Michael Wanzel
This network shows the impact of papers produced by Michael Wanzel. 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 Michael Wanzel. The network helps show where Michael Wanzel may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Wanzel, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 386 | |
| 2 | 2002 | 262 | |
| 3 | 2009 | 185 | |
| 4 | 2003 | 164 | |
| 5 | 2020 | 123 | |
| 6 | 2008 | 100 | |
| 7 | 2020 | 83 | |
| 8 | 2016 | 74 | |
| 9 | 2004 | 71 | |
| 10 | 2015 | 70 | |
| 11 | 2013 | 61 | |
| 12 | 2010 | 34 | |
| 13 | 2016 | 22 | |
| 14 | 2014 | 22 | |
| 15 | 2001 | 22 | |
| 16 | 2019 | 19 | |
| 17 | 2020 | 14 | |
| 18 | 2023 | 13 | |
| 19 | 2025 | 7 | |
| 20 | 2022 | 3 |
About Michael Wanzel
Michael Wanzel is a scholar working on Molecular Biology, Oncology, Neurology, Epidemiology and Cancer Research, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Ubiquitin and proteasome pathways (5 papers), Neuroblastoma Research and Treatments (4 papers), Autophagy in Disease and Therapy (4 papers), RNA modifications and cancer (4 papers), CRISPR and Genetic Engineering (4 papers), DNA Repair Mechanisms (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Oncology (555 citations), Hematology (221 citations), Molecular Biology (1.2k citations), Cancer Research (224 citations) and Cell Biology (136 citations). Michael Wanzel has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Martin Eilers, Steffi Herold, Roland Moll, Dong Zhang, Roderick L. Beijersbergen, Nikita Popov, Stephen J. Elledge, René Bernards, Mandy Madiredjo and Thorsten Stiewe. Their work appears in journals such as Nature Cell Biology, Nature Communications, International Journal of Cancer, Molecular Cancer and Signal Transduction and Targeted Therapy.
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.