Sebastian Eustermann
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Oncology top 5%
- PARP inhibition in cancer therapy
Papers in
-
- Genomics and Chromatin Dynamics 13
- DNA Repair Mechanisms 11
- RNA and protein synthesis mechanisms 9
- RNA Research and Splicing 6
- RNA modifications and cancer 4
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- Microtubule and mitosis dynamics 6
- Co-authors
- David Neuhaus (8 shared papers)Ji‐Chun Yang (5 shared papers)Karl‐Peter Hopfner (12 shared papers)Guilhem Chalancon (1 shared paper)Alex Bateman (1 shared paper)Madan Babu Mohan (1 shared paper)Gunter Wagner (1 shared paper)Marija Buljan (1 shared paper)
- Journals
- Nature Communications (7 papers)Nature Structural & Molecular Biology (4 papers)Science Advances (3 papers)Science (3 papers)Molecular Cell (3 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Sebastian Eustermann
34 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.9k
- Oncology 581
- Physiology 59
- Structural Biology 15
- Immunology 198
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-authors
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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 349 | |
| 2 | 2012 | 301 | |
| 3 | 2015 | 279 | |
| 4 | 2018 | 185 | |
| 5 | 2011 | 179 | |
| 6 | 2011 | 151 | |
| 7 | 2020 | 103 | |
| 8 | 2010 | 89 | |
| 9 | 2017 | 71 | |
| 10 | 2022 | 71 | |
| 11 | 2023 | 69 | |
| 12 | 2020 | 66 | |
| 13 | 2018 | 60 | |
| 14 | 2021 | 51 | |
| 15 | 2021 | 40 | |
| 16 | 2022 | 35 | |
| 17 | 2022 | 34 | |
| 18 | 2023 | 29 | |
| 19 | 2022 | 28 | |
| 20 | 2019 | 26 |
About Sebastian Eustermann
Sebastian Eustermann is a scholar working on Molecular Biology, Cell Biology, Structural Biology, Oncology and Immunology, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), DNA Repair Mechanisms (11 papers), RNA and protein synthesis mechanisms (9 papers), PARP inhibition in cancer therapy (7 papers), Microtubule and mitosis dynamics (6 papers), RNA Research and Splicing (6 papers), Toxin Mechanisms and Immunotoxins (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Oncology (581 citations), Physiology (59 citations), Structural Biology (15 citations) and Immunology (198 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, Guilhem Chalancon, Alex Bateman, Madan Babu Mohan, Gunter Wagner, Marija Buljan, Mónika Fuxreiter and Manuela Moldt. Their work appears in journals such as Nature Communications, Nature Structural & Molecular Biology, Science Advances, Science and Molecular Cell.
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.