Lisa Wiesmüller
- Oncology top 1%
- Cancer-related Molecular Pathways 46
- PARP inhibition in cancer therapy 23
- Molecular Biology top 1%
- DNA Repair Mechanisms 88
- CRISPR and Genetic Engineering 21
- Epigenetics and DNA Methylation 12
- Cancer Research top 2%
- Carcinogens and Genotoxicity Assessment 13
- Cancer Genomics and Diagnostics 8
- Cell Biology top 2%
- Biotechnology top 2%
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- BRCA gene mutations in cancer 14
- Co-authors
- Alfred WittinghoferKlaus ScheffzekMohammad Reza AhmadianAlfred LautweinWolfgang KabschFrank SchmitzWolfgang DeppertSusanne A. Gatz
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Lisa Wiesmüller
130 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Oncology 2.4k
- Molecular Biology 4.6k
- Cancer Research 824
- Cell Biology 668
- Biotechnology 289
Countries citing papers authored by Lisa Wiesmüller
This map shows the geographic impact of Lisa Wiesmüller'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 Lisa Wiesmüller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Wiesmüller more than expected).
Fields of papers citing papers by Lisa Wiesmüller
This network shows the impact of papers produced by Lisa Wiesmüller. 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 Lisa Wiesmüller. The network helps show where Lisa Wiesmüller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lisa Wiesmüller, 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 | 2025 | 0 | |
| 2 | 2025 | 9 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 0 | |
| 10 | 2021 | 12 | |
| 11 | 2020 | 32 | |
| 12 | 2018 | 27 | |
| 13 | 2017 | 26 | |
| 14 | 2017 | 9 | |
| 15 | 2015 | 18 | |
| 16 | Acquisition of Relative Interstrand Crosslinker Resistance and PARP Inhibitor Sensitivity in Fanconi Anemia Head and Neck Cancers | 2015 | 2 |
| 17 | 2008 | 133 | |
| 18 | 2005 | 8 | |
| 19 | 2002 | 145 | |
| 20 | 1999 | 43 |
About Lisa Wiesmüller
Lisa Wiesmüller is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 136 papers that have together received 5.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (88 papers), Cancer-related Molecular Pathways (46 papers), PARP inhibition in cancer therapy (23 papers), CRISPR and Genetic Engineering (21 papers), BRCA gene mutations in cancer (14 papers), Carcinogens and Genotoxicity Assessment (13 papers), Epigenetics and DNA Methylation (12 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Oncology (2.4k citations), Molecular Biology (4.6k citations) and Cancer Research (824 citations). Lisa Wiesmüller has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Alfred Wittinghofer, Klaus Scheffzek, Mohammad Reza Ahmadian, Alfred Lautwein, Wolfgang Kabsch, Frank Schmitz, Wolfgang Deppert, Susanne A. Gatz, Friedemann Janus and Frank Große. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.