Urs Hoffmann‐Rohrer
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
Papers in
-
- RNA Research and Splicing 5
- RNA modifications and cancer 3
- DNA Repair Mechanisms 2
- Genomics and Chromatin Dynamics 2
- RNA and protein synthesis mechanisms 2
- Co-authors
- Ingrid Grummt (5 shared papers)Miroslav Dundr (1 shared paper)Qiyue Hu (1 shared paper)Lawrence Ian Rothblum (1 shared paper)Robert D. Phair (1 shared paper)Tom Misteli (1 shared paper)Hanswalter Zentgraf (2 shared papers)Christine Mayer (2 shared papers)
- Journals
- The Journal of Immunology (2 papers)EMBO Reports (2 papers)Journal of General Virology (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Science (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Urs Hoffmann‐Rohrer
11 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Biophysics 109
- Molecular Biology 869
- Cell Biology 148
- Immunology 161
- Virology 34
Countries citing papers authored by Urs Hoffmann‐Rohrer
This map shows the geographic impact of Urs Hoffmann‐Rohrer'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 Urs Hoffmann‐Rohrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urs Hoffmann‐Rohrer more than expected).
Fields of papers citing papers by Urs Hoffmann‐Rohrer
This network shows the impact of papers produced by Urs Hoffmann‐Rohrer. 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 Urs Hoffmann‐Rohrer. The network helps show where Urs Hoffmann‐Rohrer may publish in the future.
Co-authors
The 25 scholars most cited alongside Urs Hoffmann‐Rohrer, 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 | 2002 | 359 | |
| 2 | 2009 | 159 | |
| 3 | 2004 | 123 | |
| 4 | 2003 | 109 | |
| 5 | 2000 | 108 | |
| 6 | 2002 | 82 | |
| 7 | 1995 | 76 | |
| 8 | 1996 | 61 | |
| 9 | 1999 | 42 | |
| 10 | 2009 | 15 | |
| 11 | EPITOPE REPETITIVENESS AS A SELF NONSELF DISCRIMINATOR FOR B-CELLS | 1995 | 1 |
About Urs Hoffmann‐Rohrer
Urs Hoffmann‐Rohrer is a scholar working on Cell Biology, Molecular Biology, Biophysics, Infectious Diseases and Immunology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (3 papers), DNA Repair Mechanisms (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers), Cell Image Analysis Techniques (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Biophysics (109 citations), Molecular Biology (869 citations), Cell Biology (148 citations), Immunology (161 citations) and Virology (34 citations). Urs Hoffmann‐Rohrer has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Ingrid Grummt, Miroslav Dundr, Qiyue Hu, Lawrence Ian Rothblum, Robert D. Phair, Tom Misteli, Hanswalter Zentgraf, Christine Mayer, Andrea Schäfer and Nina Schmitt. Their work appears in journals such as The Journal of Immunology, EMBO Reports, Journal of General Virology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Science.
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.