Natalie de Souza
- Biophysics top 5%
- Cell Image Analysis Techniques 7
- Advanced Fluorescence Microscopy Techniques 6
- Oncology top 10%
- Cancer Cells and Metastasis 8
- Spectroscopy top 5%
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics 12
- Pluripotent Stem Cells Research 7
- CRISPR and Genetic Engineering 6
- Immunology top 10%
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- 3D Printing in Biomedical Research 5
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- Enzyme Structure and Function 5
- Co-authors
- Bernd BodenmillerPaola PicottiLena CordsMartin ReesClaus LangwiederTobias AnzenederSandra TietscherMonika Pepelnjak
- Cited by
- BiophysicsOncologySpectroscopy
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Natalie de Souza
62 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Biophysics 80
- Oncology 371
- Spectroscopy 208
- Molecular Biology 784
- Immunology 227
Countries citing papers authored by Natalie de Souza
This map shows the geographic impact of Natalie de Souza'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 Natalie de Souza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie de Souza more than expected).
Fields of papers citing papers by Natalie de Souza
This network shows the impact of papers produced by Natalie de Souza. 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 Natalie de Souza. The network helps show where Natalie de Souza may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Natalie de Souza, 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 | 2026 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 16 | |
| 5 | 2024 | 41 | |
| 6 | Cancer-associated fibroblast phenotypes are associated with patient outcome in non-small cell lung cancerbreakdown → | 2024 | 124 |
| 7 | Cancer-associated fibroblast classification in single-cell and spatial proteomics databreakdown → | 2023 | 160 |
| 8 | 2023 | 18 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 65 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 29 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 83 | |
| 15 | 2020 | 104 | |
| 16 | 2020 | 112 | |
| 17 | 2020 | 1 | |
| 18 | 2019 | 39 | |
| 19 | 2012 | 20 | |
| 20 | 2011 | 4 |
About Natalie de Souza
Natalie de Souza is a scholar working on Structural Biology, Biophysics and Aging, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (12 papers), Cancer Cells and Metastasis (8 papers), Cell Image Analysis Techniques (7 papers), Pluripotent Stem Cells Research (7 papers), Advanced Fluorescence Microscopy Techniques (6 papers), CRISPR and Genetic Engineering (6 papers), 3D Printing in Biomedical Research (5 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Biophysics (80 citations), Oncology (371 citations) and Spectroscopy (208 citations). Natalie de Souza has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Bernd Bodenmiller, Paola Picotti, Lena Cords, Martin Rees, Claus Langwieder, Tobias Anzeneder, Sandra Tietscher, Monika Pepelnjak, Holger Moch and Ilaria Piazza. Their work appears in journals such as Cell, Nature Communications and Nature reviews. Cancer.
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.