Barbara M. Szczerba
- Oncology top 2%
- Molecular Biology top 10%
- Cancer Research top 2%
- Immunology top 5%
- Biomedical Engineering top 10%
- Co-authors
- Nicola AcetoIlona KrolFrancesc Castro-GinerRamona ScherrerSofia GkountelaChristoph RochlitzMarcus VetterWilliam P. Weber
- Topics
- Cancer Cells and Metastasis (15 papers)Cancer Genomics and Diagnostics (6 papers)Single-cell and spatial transcriptomics (4 papers)
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- NatureCellNature Genetics
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Barbara M. Szczerba
23 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Oncology 1.6k
- Molecular Biology 1.1k
- Cancer Research 992
- Immunology 552
- Biomedical Engineering 472
Countries citing papers authored by Barbara M. Szczerba
This map shows the geographic impact of Barbara M. Szczerba'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 Barbara M. Szczerba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara M. Szczerba more than expected).
Fields of papers citing papers by Barbara M. Szczerba
This network shows the impact of papers produced by Barbara M. Szczerba. 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 Barbara M. Szczerba. The network helps show where Barbara M. Szczerba may publish in the future.
Co-authorship network of co-authors of Barbara M. Szczerba
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara M. Szczerba. A scholar is included among the top collaborators of Barbara M. Szczerba based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Barbara M. Szczerba. Barbara M. Szczerba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 12 | |
| 4 | 18 | |
| 5 | 28 | |
| 6 | 13 | |
| 7 | 171 | |
| 8 | E-cadherin is required for metastasis in multiple models of breast cancerbreakdown → | 562 |
| 9 | Neutrophils escort circulating tumour cells to enable cell cycle progressionbreakdown → | 886 |
| 10 | Circulating Tumor Cell Clustering Shapes DNA Methylation to Enable Metastasis Seedingbreakdown → | 608 |
| 11 | 9 | |
| 12 | 52 | |
| 13 | 102 | |
| 14 | 25 | |
| 15 | 35 | |
| 16 | 44 | |
| 17 | 115 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 2 |
About Barbara M. Szczerba
Barbara M. Szczerba is a scholar working on Oncology, Cancer Research and Modeling and Simulation, having authored 23 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (15 papers), Cancer Genomics and Diagnostics (6 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Cancer Research (992 citations), Oncology (1.6k citations) and Immunology (552 citations). Barbara M. Szczerba has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Nicola Aceto, Ilona Krol, Francesc Castro-Giner, Ramona Scherrer, Sofia Gkountela, Christoph Rochlitz, Marcus Vetter, William P. Weber, Christian Beisel and Manuel C. Scheidmann. Their work appears in journals such as Nature, Cell and Nature Genetics.
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.