Michael Uckelmann
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Protein Degradation and Inhibitors
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- Cancer-related Molecular Pathways
Papers in
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- Ubiquitin and proteasome pathways 8
- Genomics and Chromatin Dynamics 7
- Epigenetics and DNA Methylation 5
- RNA modifications and cancer 4
- RNA Research and Splicing 4
- DNA Repair Mechanisms 3
- Cancer-related gene regulation 3
- Histone Deacetylase Inhibitors Research 2
- Oncology 2
- Co-authors
- Titia K. Sixma (7 shared papers)Niels Mailand (1 shared paper)Tina Thorslund (1 shared paper)Saskia Hoffmann (1 shared paper)Simon Bekker‐Jensen (1 shared paper)Chunaram Choudhary (1 shared paper)Thomas J. Wild (1 shared paper)Takeo Narita (1 shared paper)
- Journals
- Nature Communications (5 papers)Nature (2 papers)Molecular Cell (2 papers)Nature Genetics (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Michael Uckelmann
16 papers receiving 819 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 767
- Oncology 171
- Cancer Research 47
- Cell Biology 55
- Genetics 78
Countries citing papers authored by Michael Uckelmann
This map shows the geographic impact of Michael Uckelmann'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 Uckelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Uckelmann more than expected).
Fields of papers citing papers by Michael Uckelmann
This network shows the impact of papers produced by Michael Uckelmann. 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 Uckelmann. The network helps show where Michael Uckelmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Uckelmann, 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 | 2015 | 332 | |
| 2 | 2017 | 169 | |
| 3 | 2014 | 83 | |
| 4 | 2018 | 83 | |
| 5 | 2019 | 50 | |
| 6 | 2021 | 28 | |
| 7 | 2015 | 15 | |
| 8 | 2024 | 15 | |
| 9 | 2024 | 12 | |
| 10 | 2020 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2025 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2024 | 4 | |
| 15 | 2022 | 2 | |
| 16 | 2010 | 1 |
About Michael Uckelmann
Michael Uckelmann is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 16 papers that have together received 831 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), DNA Repair Mechanisms (3 papers), Cancer-related gene regulation (3 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Molecular Biology (767 citations), Oncology (171 citations), Cancer Research (47 citations), Cell Biology (55 citations) and Genetics (78 citations). Michael Uckelmann has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Titia K. Sixma, Niels Mailand, Tina Thorslund, Saskia Hoffmann, Simon Bekker‐Jensen, Chunaram Choudhary, Thomas J. Wild, Takeo Narita, Chen Davidovich and Danny D. Sahtoe. Their work appears in journals such as Nature Communications, Nature, Molecular Cell, Nature Genetics and Journal of Molecular Biology.
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.