Raphael Böhm
Impact in
- Endocrinology top 10%
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- Glycosylation and Glycoproteins Research 3
- RNA and protein synthesis mechanisms 3
- Bacterial biofilms and quorum sensing 3
- Chemical Synthesis and Analysis 2
- Genetics 5
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Sebastian Hiller (11 shared papers)Badri N. Dubey (5 shared papers)Tilman Schirmer (5 shared papers)Urs Jenal (4 shared papers)Mark von Itzstein (7 shared papers)Thomas Haselhorst (6 shared papers)Stefan Imseng (2 shared papers)Timm Maier (2 shared papers)
- Journals
- Nature Communications (4 papers)ChemBioChem (2 papers)Molecular Cell (1 paper)Cell Reports (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- SwitzerlandAustraliaGermany
In The Last Decade
Raphael Böhm
19 papers receiving 705 citations
Peers
Comparison fields: 5 of 74
- Endocrinology 65
- Cell Biology 126
- Genetics 191
- Molecular Biology 463
- Infectious Diseases 108
Countries citing papers authored by Raphael Böhm
This map shows the geographic impact of Raphael Böhm'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 Raphael Böhm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Böhm more than expected).
Fields of papers citing papers by Raphael Böhm
This network shows the impact of papers produced by Raphael Böhm. 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 Raphael Böhm. The network helps show where Raphael Böhm may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphael Böhm, 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 | 144 | |
| 2 | 2015 | 107 | |
| 3 | 2014 | 90 | |
| 4 | 2015 | 71 | |
| 5 | 2021 | 58 | |
| 6 | 2014 | 42 | |
| 7 | 2020 | 40 | |
| 8 | 2019 | 32 | |
| 9 | 2019 | 31 | |
| 10 | 2012 | 29 | |
| 11 | 2020 | 23 | |
| 12 | 2023 | 10 | |
| 13 | 2012 | 8 | |
| 14 | 2020 | 6 | |
| 15 | 2009 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2013 | 5 | |
| 18 | 2009 | 1 | |
| 19 | 2025 | 1 |
About Raphael Böhm
Raphael Böhm is a scholar working on Molecular Biology, Genetics, Epidemiology, Infectious Diseases and Organic Chemistry, having authored 19 papers that have together received 710 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Influenza Virus Research Studies (4 papers), Glycosylation and Glycoproteins Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Bacterial biofilms and quorum sensing (3 papers), Microtubule and mitosis dynamics (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Endocrinology (65 citations), Cell Biology (126 citations), Genetics (191 citations), Molecular Biology (463 citations) and Infectious Diseases (108 citations). Raphael Böhm has collaborated with scholars based in Switzerland, Australia and Germany. Frequent co-authors include Sebastian Hiller, Badri N. Dubey, Tilman Schirmer, Urs Jenal, Mark von Itzstein, Thomas Haselhorst, Stefan Imseng, Timm Maier, Sabine Steiner and Shogo Ozaki. Their work appears in journals such as Nature Communications, ChemBioChem, Molecular Cell, Cell Reports and Journal of Medicinal Chemistry.
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.