Lisa Schweizer
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Molecular Biology Techniques and Applications 6
- Single-cell and spatial transcriptomics 2
- Advanced Biosensing Techniques and Applications 2
-
- Advanced Proteomics Techniques and Applications 5
- Co-authors
- Matthias Mann (8 shared papers)Andreas Mund (4 shared papers)Ernst Lengyel (3 shared papers)Jan Lindebjerg (1 shared paper)Sophia Doll (2 shared papers)José M.A. Moreira (1 shared paper)Fabian Coscia (1 shared paper)Thierry M. Nordmann (5 shared papers)
- Journals
- Molecular & Cellular Proteomics (3 papers)Nature Methods (1 paper)Modern Pathology (1 paper)International Journal of Gynecological Cancer (1 paper)Gynecologic Oncology (1 paper)
- Partner nations
- GermanyDenmarkUnited States
In The Last Decade
Lisa Schweizer
13 papers receiving 363 citations
Peers
Comparison fields: 5 of 68
- Spectroscopy 185
- Biophysics 28
- Molecular Biology 201
- Cancer Research 20
- Biological Psychiatry 3
Countries citing papers authored by Lisa Schweizer
This map shows the geographic impact of Lisa Schweizer'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 Schweizer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Schweizer more than expected).
Fields of papers citing papers by Lisa Schweizer
This network shows the impact of papers produced by Lisa Schweizer. 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 Schweizer. The network helps show where Lisa Schweizer may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa Schweizer, 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 | 2020 | 130 | |
| 2 | 2023 | 102 | |
| 3 | 2023 | 52 | |
| 4 | 2021 | 26 | |
| 5 | 2023 | 13 | |
| 6 | 2021 | 11 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2017 | 1 | |
| 14 | 2025 | 0 |
About Lisa Schweizer
Lisa Schweizer is a scholar working on Molecular Biology, Spectroscopy, Biophysics, Infectious Diseases and Surgery, having authored 14 papers that have together received 368 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Single-cell and spatial transcriptomics (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Cell Image Analysis Techniques (2 papers), Sarcoma Diagnosis and Treatment (1 paper), PARP inhibition in cancer therapy (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Spectroscopy (185 citations), Biophysics (28 citations), Molecular Biology (201 citations), Cancer Research (20 citations) and Biological Psychiatry (3 citations). Lisa Schweizer has collaborated with scholars based in Germany, Denmark and United States. Frequent co-authors include Matthias Mann, Andreas Mund, Ernst Lengyel, Jan Lindebjerg, Sophia Doll, José M.A. Moreira, Fabian Coscia, Thierry M. Nordmann, Marvin Thielert and Florian A. Rosenberger. Their work appears in journals such as Molecular & Cellular Proteomics, Nature Methods, Modern Pathology, International Journal of Gynecological Cancer and Gynecologic Oncology.
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.