Tim Beißert
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
Papers in
- Hematology 10
- Acute Myeloid Leukemia Research 8
- Chronic Myeloid Leukemia Treatments 5
- Genetics 8
- Virus-based gene therapy research 7
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Uğur ŞahinMario PerkovićÖzlem TüreciStephanie ErbarMartin RuthardtAnnette B. VogelOliver G. OttmannHeinrich Haas
- Journals
- Molecular Therapy (4 papers)Human Gene Therapy (2 papers)Molecular Therapy — Nucleic Acids (2 papers)Cancer Research (2 papers)Blood (2 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Tim Beißert
26 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Hematology 240
- Infectious Diseases 355
- Immunology 349
- Molecular Biology 1.1k
- Animal Science and Zoology 108
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 10 | |
| 2 | 2024 | 34 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 23 | |
| 6 | 2019 | 139 | |
| 7 | 2018 | 239 | |
| 8 | Self-Amplifying RNA Vaccines Give Equivalent Protection against Influenza to mRNA Vaccines but at Much Lower Doses Hit paper breakdown → | 2017 | 365 |
| 9 | 2015 | 58 | |
| 10 | 2014 | 9 | |
| 11 | 2012 | 57 | |
| 12 | 2009 | 38 | |
| 13 | 2008 | 34 | |
| 14 | 2007 | 61 | |
| 15 | 2006 | 11 | |
| 16 | 2005 | 162 | |
| 17 | 2004 | 1 | |
| 18 | 2003 | 16 | |
| 19 | AML-associated translocation products block vitamin D(3)-induced differentiation by sequestering the vitamin D(3) receptor. | 2002 | 36 |
| 20 | 2001 | 8 |
About Tim Beißert
Tim Beißert is a scholar working on Hematology, Genetics, Genetics, Molecular Biology and Infectious Diseases, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), RNA Interference and Gene Delivery (8 papers), Virus-based gene therapy research (7 papers), Chronic Myeloid Leukemia Treatments (5 papers), Retinoids in leukemia and cellular processes (5 papers), Protein Degradation and Inhibitors (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Hematology (240 citations), Infectious Diseases (355 citations), Immunology (349 citations), Molecular Biology (1.1k citations) and Animal Science and Zoology (108 citations). Tim Beißert has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Uğur Şahin, Mario Perković, Özlem Türeci, Stephanie Erbar, Martin Ruthardt, Annette B. Vogel, Oliver G. Ottmann, Heinrich Haas, Lena Wicke and Ekaterina Kinnear. Their work appears in journals such as Molecular Therapy, Human Gene Therapy, Molecular Therapy — Nucleic Acids, Cancer Research and Blood.
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.