Tim Beißert
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Acute Myeloid Leukemia Research 6
- Chronic Myeloid Leukemia Treatments 4
- Genetics 11
- Virus-based gene therapy research 10
- Co-authors
- Ugur Sahin (17 shared papers)Mario Perković (8 shared papers)Özlem Türeci (9 shared papers)Stephanie Erbar (4 shared papers)Martin Ruthardt (10 shared papers)Annette B. Vogel (2 shared papers)Oliver Gerhard Ottmann (7 shared papers)Stephen T. Reece (1 shared paper)
- Journals
- Molecular Therapy (6 papers)Cancer Research (2 papers)Blood (2 papers)Cancer Cell (2 papers)Molecular Therapy — Nucleic Acids (2 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Tim Beißert
31 papers receiving 1.8k citations
Tim Beißert's Hit Papers
Peers
Comparison fields: 5 of 86
- Infectious Diseases 483
- Hematology 239
- Immunology 403
- Molecular Biology 1.2k
- Animal Science and Zoology 156
Countries citing papers authored by Tim Beißert
This map shows the geographic impact of Tim Beißert'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 Beißert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Beißert more than expected).
Fields of papers citing papers by Tim Beißert
This network shows the impact of papers produced by Tim Beißert. 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 Beißert. The network helps show where Tim Beißert may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Beißert, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Self-Amplifying RNA Vaccines Give Equivalent Protection against Influenza to mRNA Vaccines but at Much Lower Doses Hit paper breakdown → | 2017 | 419 |
| 2 | 2018 | 284 | |
| 3 | 2005 | 173 | |
| 4 | 2019 | 162 | |
| 5 | 2015 | 106 | |
| 6 | 2007 | 71 | |
| 7 | 2012 | 65 | |
| 8 | 2017 | 63 | |
| 9 | 2015 | 63 | |
| 10 | AML-associated translocation products block vitamin D(3)-induced differentiation by sequestering the vitamin D(3) receptor. | 2002 | 51 |
| 11 | 2024 | 50 | |
| 12 | 2009 | 41 | |
| 13 | 2003 | 35 | |
| 14 | 2018 | 34 | |
| 15 | 2008 | 34 | |
| 16 | 2017 | 27 | |
| 17 | 2023 | 26 | |
| 18 | 2022 | 23 | |
| 19 | 2005 | 17 | |
| 20 | 2022 | 17 |
About Tim Beißert
Tim Beißert is a scholar working on Hematology, Genetics, Molecular Biology, Immunology and Infectious Diseases, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (11 papers), Virus-based gene therapy research (10 papers), Acute Myeloid Leukemia Research (6 papers), Retinoids in leukemia and cellular processes (5 papers), Protein Degradation and Inhibitors (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), CRISPR and Genetic Engineering (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Infectious Diseases (483 citations), Hematology (239 citations), Immunology (403 citations), Molecular Biology (1.2k citations) and Animal Science and Zoology (156 citations). Tim Beißert has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Ugur Sahin, Mario Perković, Özlem Türeci, Stephanie Erbar, Martin Ruthardt, Annette B. Vogel, Oliver Gerhard Ottmann, Stephen T. Reece, John S. Tregoning and Kerstin C. Reuter. Their work appears in journals such as Molecular Therapy, Cancer Research, Blood, Cancer Cell and Molecular Therapy — Nucleic Acids.
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.