Timm Weber
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- CRISPR and Genetic Engineering 4
- RNA and protein synthesis mechanisms 3
- Oncology 5
- Viral-associated cancers and disorders 3
- Co-authors
- Klaus Rajewsky (9 shared papers)Van Trung Chu (7 shared papers)Ralf Kühn (4 shared papers)Sandrine Sander (2 shared papers)Benedikt Wefers (1 shared paper)Wolfgang Wurst (1 shared paper)Robin Graf (3 shared papers)Kerstin Petsch (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Science Immunology (2 papers)Immunity (2 papers)Nature Biotechnology (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Timm Weber
17 papers receiving 1.5k citations
Timm Weber's Hit Papers
Peers
Comparison fields: 5 of 97
- Aging 131
- Business and International Management 91
- Molecular Biology 1.2k
- Genetics 369
- Oncology 185
Countries citing papers authored by Timm Weber
This map shows the geographic impact of Timm Weber'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 Timm Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timm Weber more than expected).
Fields of papers citing papers by Timm Weber
This network shows the impact of papers produced by Timm Weber. 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 Timm Weber. The network helps show where Timm Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Timm Weber, 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 | Increasing the efficiency of homology-directed repair for CRISPR-Cas9-induced precise gene editing in mammalian cells Hit paper breakdown → | 2015 | 950 |
| 2 | 2016 | 211 | |
| 3 | 2016 | 109 | |
| 4 | 2022 | 80 | |
| 5 | 2020 | 43 | |
| 6 | 2016 | 33 | |
| 7 | 2020 | 21 | |
| 8 | 2023 | 18 | |
| 9 | 2023 | 17 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 3 |
About Timm Weber
Timm Weber is a scholar working on Molecular Biology, Oncology, Immunology, Infectious Diseases and General Health Professions, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), CRISPR and Genetic Engineering (4 papers), Mobile Health and mHealth Applications (3 papers), Viral-associated cancers and disorders (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Cytomegalovirus and herpesvirus research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Aging (131 citations), Business and International Management (91 citations), Molecular Biology (1.2k citations), Genetics (369 citations) and Oncology (185 citations). Timm Weber has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Klaus Rajewsky, Van Trung Chu, Ralf Kühn, Sandrine Sander, Benedikt Wefers, Wolfgang Wurst, Robin Graf, Kerstin Petsch, Thomas Sommermann and Ulrike Sack. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science Immunology, Immunity, Nature Biotechnology and European Journal of Immunology.
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.