Rainer Frank
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Cell Biology top 0.2%
- Cellular transport and secretion
Papers in
-
- RNA and protein synthesis mechanisms 32
- Glycosylation and Glycoproteins Research 15
- RNA Research and Splicing 13
- Immunology 24
- Co-authors
- Rodrigo Bravo (1 shared paper)Heather Macdonald-Bravo (1 shared paper)Patricia A. Blundell (1 shared paper)Michael O. Westendorp (5 shared papers)Fritz G. Rathjen (6 shared papers)J M Wolff (6 shared papers)P H Krammer (3 shared papers)Heinrich Gausepohlꝉ (19 shared papers)
In The Last Decade
Rainer Frank
160 papers receiving 13.4k citations
Rainer Frank's Hit Papers
Peers
Comparison fields: 5 of 158
- Virology 1.3k
- Cell Biology 2.6k
- Molecular Biology 8.6k
- Immunology and Allergy 580
- Cellular and Molecular Neuroscience 1.7k
Countries citing papers authored by Rainer Frank
This map shows the geographic impact of Rainer Frank'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 Rainer Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer Frank more than expected).
Fields of papers citing papers by Rainer Frank
This network shows the impact of papers produced by Rainer Frank. 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 Rainer Frank. The network helps show where Rainer Frank may publish in the future.
Co-authors
The 25 scholars most cited alongside Rainer Frank, 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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cyclin/PCNA is the auxiliary protein of DNA polymerase-δ Hit paper breakdown → | 1987 | 1575 |
| 2 | Sensitization of T cells to CD95-mediated apoptosis by HIV-1 Tat and gp120 Hit paper breakdown → | 1995 | 844 |
| 3 | 1991 | 446 | |
| 4 | 1989 | 442 | |
| 5 | 1991 | 395 | |
| 6 | 1995 | 334 | |
| 7 | 1987 | 326 | |
| 8 | 1990 | 316 | |
| 9 | 1989 | 302 | |
| 10 | 1989 | 286 | |
| 11 | 1989 | 274 | |
| 12 | 1998 | 271 | |
| 13 | 1995 | 256 | |
| 14 | 1986 | 243 | |
| 15 | 1996 | 232 | |
| 16 | 1988 | 231 | |
| 17 | 1987 | 210 | |
| 18 | 1989 | 202 | |
| 19 | 1994 | 181 | |
| 20 | 1990 | 172 |
About Rainer Frank
Rainer Frank is a scholar working on Molecular Biology, Immunology, Genetics, Cell Biology and Materials Chemistry, having authored 164 papers that have together received 13.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (32 papers), Enzyme Structure and Function (17 papers), Glycosylation and Glycoproteins Research (15 papers), HIV Research and Treatment (15 papers), RNA Research and Splicing (13 papers), Bacterial Genetics and Biotechnology (12 papers), Cellular transport and secretion (11 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). The work is most often cited by research in Virology (1.3k citations), Cell Biology (2.6k citations), Molecular Biology (8.6k citations), Immunology and Allergy (580 citations) and Cellular and Molecular Neuroscience (1.7k citations). Rainer Frank has collaborated with scholars based in Germany, Italy and Spain. Frequent co-authors include Rodrigo Bravo, Heather Macdonald-Bravo, Patricia A. Blundell, Michael O. Westendorp, Fritz G. Rathjen, J M Wolff, P H Krammer, Heinrich Gausepohlꝉ, J. P. Ruppersberg and Wieland Β. Huttner. Their work appears in journals such as European Journal of Biochemistry, FEBS Letters, Journal of Biological Chemistry, The EMBO Journal and The Journal of Cell 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.