Tim C. Roloff
Impact in
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Cancer-related gene regulation
- Pluripotent Stem Cells Research
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders
Papers in
-
- SARS-CoV-2 and COVID-19 Research 14
- SARS-CoV-2 detection and testing 8
-
- Antibiotic Resistance in Bacteria 8
- Co-authors
- Michael Beda Stadler (5 shared papers)Dirk Schübeler (5 shared papers)Fabio Mohn (3 shared papers)Miriam Bibel (2 shared papers)Michael Rebhan (2 shared papers)Jens Christian Richter (2 shared papers)Michael H. Weber (2 shared papers)Ulrike A. Nuber (3 shared papers)
- Journals
- Microbiology Spectrum (4 papers)Nature (3 papers)PLoS ONE (3 papers)Microbial Genomics (3 papers)Genome Medicine (2 papers)
- Partner nations
- SwitzerlandGermanyNetherlands
In The Last Decade
Tim C. Roloff
67 papers receiving 3.5k citations
Tim C. Roloff's Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 2.2k
- Genetics 728
- Infectious Diseases 398
- Aging 38
- Reproductive Medicine 163
Countries citing papers authored by Tim C. Roloff
This map shows the geographic impact of Tim C. Roloff'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 Tim C. Roloff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim C. Roloff more than expected).
Fields of papers citing papers by Tim C. Roloff
This network shows the impact of papers produced by Tim C. Roloff. 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 Tim C. Roloff. The network helps show where Tim C. Roloff may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim C. Roloff, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lineage-Specific Polycomb Targets and De Novo DNA Methylation Define Restriction and Potential of Neuronal Progenitors Hit paper breakdown → | 2008 | 719 |
| 2 | 2010 | 563 | |
| 3 | 2015 | 254 | |
| 4 | 2005 | 156 | |
| 5 | 2003 | 137 | |
| 6 | 2003 | 132 | |
| 7 | 2017 | 120 | |
| 8 | 2022 | 114 | |
| 9 | 2013 | 108 | |
| 10 | 2011 | 102 | |
| 11 | 2013 | 81 | |
| 12 | 2011 | 80 | |
| 13 | 2013 | 76 | |
| 14 | 2011 | 69 | |
| 15 | 2020 | 68 | |
| 16 | 2010 | 67 | |
| 17 | 2021 | 54 | |
| 18 | 2014 | 48 | |
| 19 | 2020 | 39 | |
| 20 | 2005 | 36 |
About Tim C. Roloff
Tim C. Roloff is a scholar working on Infectious Diseases, Molecular Medicine, Molecular Biology, Clinical Biochemistry and Endocrinology, having authored 70 papers that have together received 3.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), SARS-CoV-2 detection and testing (8 papers), Antibiotic Resistance in Bacteria (8 papers), Epigenetics and DNA Methylation (8 papers), Genomics and Chromatin Dynamics (6 papers), Genomics and Phylogenetic Studies (5 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Bacterial Identification and Susceptibility Testing (5 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Genetics (728 citations), Infectious Diseases (398 citations), Aging (38 citations) and Reproductive Medicine (163 citations). Tim C. Roloff has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Michael Beda Stadler, Dirk Schübeler, Fabio Mohn, Miriam Bibel, Michael Rebhan, Jens Christian Richter, Michael H. Weber, Ulrike A. Nuber, Antoine H.F.M. Peters and Hans‐Hilger Ropers. Their work appears in journals such as Microbiology Spectrum, Nature, PLoS ONE, Microbial Genomics and Genome Medicine.
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.