Marc Böhning
Impact in
- Structural Biology top 5%
- Molecular Biology top 10%
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Nuclear Structure and Function
- Glycosylation and Glycoproteins Research
Papers in
-
- RNA Research and Splicing 6
- Genomics and Chromatin Dynamics 5
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 3
- Glycosylation and Glycoproteins Research 1
-
- Aquaculture Nutrition and Growth 1
- Co-authors
- Patrick Cramer (4 shared papers)Henning Urlaub (2 shared papers)Seychelle M. Vos (2 shared papers)Christoph Wigge (1 shared paper)A. Linden (1 shared paper)Lucas Farnung (1 shared paper)Markus Zweckstetter (2 shared papers)Claire Dugast‐Darzacq (2 shared papers)
- Journals
- mBio (1 paper)eLife (1 paper)Nature Communications (1 paper)Molecular Cell (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- GermanyUnited KingdomFinland
In The Last Decade
Marc Böhning
8 papers receiving 1.2k citations
Marc Böhning's Hit Papers
Peers
Comparison fields: 5 of 79
- Structural Biology 33
- Molecular Biology 1.1k
- Biophysics 58
- Biochemistry 39
- Radiology, Nuclear Medicine and Imaging 102
Countries citing papers authored by Marc Böhning
This map shows the geographic impact of Marc Böhning'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 Marc Böhning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Böhning more than expected).
Fields of papers citing papers by Marc Böhning
This network shows the impact of papers produced by Marc Böhning. 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 Marc Böhning. The network helps show where Marc Böhning may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Böhning, 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 | RNA polymerase II clustering through carboxy-terminal domain phase separation Hit paper breakdown → | 2018 | 437 |
| 2 | 2018 | 309 | |
| 3 | 2015 | 181 | |
| 4 | 2019 | 161 | |
| 5 | 2021 | 103 | |
| 6 | 2023 | 32 | |
| 7 | 2019 | 29 | |
| 8 | 2018 | 5 |
About Marc Böhning
Marc Böhning is a scholar working on Molecular Biology, Aquatic Science, Rheumatology, Radiology, Nuclear Medicine and Imaging and Plant Science, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Genomics and Chromatin Dynamics (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (3 papers), Folate and B Vitamins Research (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Aquaculture Nutrition and Growth (1 paper). The work is most often cited by research in Structural Biology (33 citations), Molecular Biology (1.1k citations), Biophysics (58 citations), Biochemistry (39 citations) and Radiology, Nuclear Medicine and Imaging (102 citations). Marc Böhning has collaborated with scholars based in Germany, United Kingdom and Finland. Frequent co-authors include Patrick Cramer, Henning Urlaub, Seychelle M. Vos, Christoph Wigge, A. Linden, Lucas Farnung, Markus Zweckstetter, Claire Dugast‐Darzacq, Hervé Marie-Nelly and Marija Rankovic. Their work appears in journals such as mBio, eLife, Nature Communications, Molecular Cell 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.