Michael Uckelmann
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Protein Structure and Dynamics
- Chromatin Remodeling and Cancer
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- Cancer-related molecular mechanisms research
Papers in
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- Genomics and Chromatin Dynamics 9
- Ubiquitin and proteasome pathways 6
- Epigenetics and DNA Methylation 6
- DNA Repair Mechanisms 5
- Chromatin Remodeling and Cancer 1
- RNA Research and Splicing 1
- Co-authors
- Titia K. Sixma (7 shared papers)Saskia Hoffmann (1 shared paper)Niels Mailand (1 shared paper)Chunaram Choudhary (1 shared paper)Simon Bekker‐Jensen (1 shared paper)Takeo Narita (1 shared paper)Tina Thorslund (1 shared paper)Chen Davidovich (8 shared papers)
- Journals
- Nature Communications (5 papers)Molecular Cell (2 papers)Nature (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- AustraliaNetherlandsUnited States
In The Last Decade
Michael Uckelmann
17 papers receiving 975 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 882
- Cancer Research 26
- Aging 2
- Genetics 32
- Oncology 20
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 | 334 | |
| 2 | 2017 | 174 | |
| 3 | 2010 | 120 | |
| 4 | 2018 | 85 | |
| 5 | 2014 | 83 | |
| 6 | 2019 | 50 | |
| 7 | 2021 | 34 | |
| 8 | 2021 | 18 | |
| 9 | 2015 | 16 | |
| 10 | 2024 | 15 | |
| 11 | 2024 | 12 | |
| 12 | 2025 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2023 | 10 | |
| 15 | 2019 | 8 | |
| 16 | 2024 | 5 | |
| 17 | 2022 | 2 | |
| 18 | 2026 | 0 |
About Michael Uckelmann
Michael Uckelmann is a scholar working on Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 18 papers that have together received 987 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), Ubiquitin and proteasome pathways (6 papers), Epigenetics and DNA Methylation (6 papers), DNA Repair Mechanisms (5 papers), Chromatin Remodeling and Cancer (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Molecular Biology (882 citations), Cancer Research (26 citations), Aging (2 citations), Genetics (32 citations) and Oncology (20 citations). Michael Uckelmann has collaborated with scholars based in Australia, Netherlands and United States. Frequent co-authors include Titia K. Sixma, Saskia Hoffmann, Niels Mailand, Chunaram Choudhary, Simon Bekker‐Jensen, Takeo Narita, Tina Thorslund, Chen Davidovich, Willem J. van Dijk and Francesca Mattiroli. Their work appears in journals such as Nature Communications, Molecular Cell, Nature, Methods in enzymology on CD-ROM/Methods in enzymology and Nature Structural & 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.