Saskia Hoffmann
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
Papers in
- Oncology 10
- Cancer-related Molecular Pathways 5
- Cutaneous Melanoma Detection and Management 2
- Polyomavirus and related diseases 2
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- Microtubule and mitosis dynamics 5
- Co-authors
- Niels Mailand (14 shared papers)Simon Bekker‐Jensen (4 shared papers)Peter Haahr (6 shared papers)Titia K. Sixma (2 shared papers)Matthias Mann (4 shared papers)Markus Räschle (4 shared papers)Chunaram Choudhary (1 shared paper)Tina Thorslund (1 shared paper)
- Journals
- Nature Communications (3 papers)EMBO Reports (3 papers)The Journal of Cell Biology (3 papers)Molecular Cell (2 papers)Nature (1 paper)
- Partner nations
- DenmarkGermanyUnited Kingdom
In The Last Decade
Saskia Hoffmann
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 72
- Oncology 422
- Molecular Biology 1.1k
- Cell Biology 243
- Critical Care and Intensive Care Medicine 35
- Cancer Research 103
Countries citing papers authored by Saskia Hoffmann
This map shows the geographic impact of Saskia Hoffmann'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 Saskia Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saskia Hoffmann more than expected).
Fields of papers citing papers by Saskia Hoffmann
This network shows the impact of papers produced by Saskia Hoffmann. 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 Saskia Hoffmann. The network helps show where Saskia Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Saskia Hoffmann, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 332 | |
| 2 | 2016 | 204 | |
| 3 | 2016 | 87 | |
| 4 | 2018 | 77 | |
| 5 | 2019 | 70 | |
| 6 | 2020 | 67 | |
| 7 | 2015 | 63 | |
| 8 | 2015 | 62 | |
| 9 | 2012 | 62 | |
| 10 | 2020 | 49 | |
| 11 | 2013 | 46 | |
| 12 | 2011 | 41 | |
| 13 | 2024 | 27 | |
| 14 | 2017 | 25 | |
| 15 | 2014 | 20 | |
| 16 | 2019 | 16 | |
| 17 | 2022 | 13 | |
| 18 | 2015 | 10 | |
| 19 | 2024 | 5 | |
| 20 | 2020 | 4 |
About Saskia Hoffmann
Saskia Hoffmann is a scholar working on Oncology, Cell Biology, Molecular Biology, Genetics and Aging, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (13 papers), CRISPR and Genetic Engineering (5 papers), Microtubule and mitosis dynamics (5 papers), Cancer-related Molecular Pathways (5 papers), Ubiquitin and proteasome pathways (5 papers), Cutaneous Melanoma Detection and Management (2 papers), Polyomavirus and related diseases (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Oncology (422 citations), Molecular Biology (1.1k citations), Cell Biology (243 citations), Critical Care and Intensive Care Medicine (35 citations) and Cancer Research (103 citations). Saskia Hoffmann has collaborated with scholars based in Denmark, Germany and United Kingdom. Frequent co-authors include Niels Mailand, Simon Bekker‐Jensen, Peter Haahr, Titia K. Sixma, Matthias Mann, Markus Räschle, Chunaram Choudhary, Tina Thorslund, Takeo Narita and Thomas J. Wild. Their work appears in journals such as Nature Communications, EMBO Reports, The Journal of Cell Biology, Molecular Cell and Nature.
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.