Sebastian Eustermann
Impact in
- Molecular Biology top 5%
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- Oncology top 5%
- PARP inhibition in cancer therapy
Papers in
-
- Genomics and Chromatin Dynamics 12
- DNA Repair Mechanisms 10
- RNA and protein synthesis mechanisms 8
- RNA Research and Splicing 6
- RNA modifications and cancer 4
- DNA and Nucleic Acid Chemistry 3
- Co-authors
- David NeuhausJi‐Chun YangKarl‐Peter HopfnerMónika FuxreiterGünter P. WagnerAlex BatemanM. Madan BabuMarija Buljan
- Journals
- Nature Communications (7 papers)Nature Structural & Molecular Biology (4 papers)Science Advances (3 papers)Molecular Cell (3 papers)Nature (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Sebastian Eustermann
29 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 1.8k
- Oncology 513
- Physiology 58
- Cancer Research 126
- Immunology 176
Countries citing papers authored by Sebastian Eustermann
This map shows the geographic impact of Sebastian Eustermann'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 Sebastian Eustermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Eustermann more than expected).
Fields of papers citing papers by Sebastian Eustermann
This network shows the impact of papers produced by Sebastian Eustermann. 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 Sebastian Eustermann. The network helps show where Sebastian Eustermann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sebastian Eustermann, 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 | 9 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 47 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 31 | |
| 10 | 2022 | 26 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 42 | |
| 13 | 2019 | 26 | |
| 14 | 2018 | 56 | |
| 15 | 2018 | 176 | |
| 16 | 2015 | 260 | |
| 17 | 2013 | 22 | |
| 18 | 2012 | 291 | |
| 19 | 2011 | 144 | |
| 20 | 2011 | 176 |
About Sebastian Eustermann
Sebastian Eustermann is a scholar working on Structural Biology, Molecular Biology, Cell Biology, Physiology and Oncology, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), DNA Repair Mechanisms (10 papers), RNA and protein synthesis mechanisms (8 papers), Microtubule and mitosis dynamics (6 papers), PARP inhibition in cancer therapy (6 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Oncology (513 citations), Physiology (58 citations), Cancer Research (126 citations) and Immunology (176 citations). Sebastian Eustermann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include David Neuhaus, Ji‐Chun Yang, Karl‐Peter Hopfner, Mónika Fuxreiter, Günter P. Wagner, Alex Bateman, M. Madan Babu, Marija Buljan, Guilhem Chalancon and Manuela Moldt. Their work appears in journals such as Nature Communications, Nature Structural & Molecular Biology, Science Advances, 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.