Petra Schwalie
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics 10
- RNA Research and Splicing 8
- Single-cell and spatial transcriptomics 4
- Cancer Research top 5%
- Genetics top 5%
- Physiology top 5%
- Adipose Tissue and Metabolism 7
- Plant Science top 5%
- Chromosomal and Genetic Variations 4
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- Adipokines, Inflammation, and Metabolic Diseases 6
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- Immunotherapy and Immune Responses 4
- Immune cells in cancer 4
- Co-authors
- Dominic SchmidtPaul FlicekDuncan T. OdomGordon D. BrownMichael D. WilsonClaudia KutterBenoît BallesterAileen Marshall
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
Petra Schwalie
30 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 2.1k
- Cancer Research 371
- Genetics 471
- Physiology 415
- Plant Science 512
Countries citing papers authored by Petra Schwalie
This map shows the geographic impact of Petra Schwalie'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 Petra Schwalie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petra Schwalie more than expected).
Fields of papers citing papers by Petra Schwalie
This network shows the impact of papers produced by Petra Schwalie. 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 Petra Schwalie. The network helps show where Petra Schwalie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Petra Schwalie, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 6 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 15 | |
| 7 | 2019 | 26 | |
| 8 | 2019 | 79 | |
| 9 | 2019 | 12 | |
| 10 | A stromal cell population that inhibits adipogenesis in mammalian fat depotsbreakdown → | 2018 | 330 |
| 11 | 2017 | 87 | |
| 12 | 2017 | 5 | |
| 13 | 2017 | 17 | |
| 14 | 2016 | 167 | |
| 15 | GLUT3 is induced during epithelial-mesenchymal transition and promotes tumor cell proliferation in non-small cell lung cancer | 2014 | 1 |
| 16 | 2014 | 124 | |
| 17 | 2012 | 202 | |
| 18 | 2012 | 47 | |
| 19 | Five-Vertebrate ChIP-seq Reveals the Evolutionary Dynamics of Transcription Factor Bindingbreakdown → | 2010 | 535 |
| 20 | 2010 | 291 |
About Petra Schwalie
Petra Schwalie is a scholar working on Immunology, Molecular Biology and Physiology, having authored 30 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), RNA Research and Splicing (8 papers), Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Single-cell and spatial transcriptomics (4 papers), Immunotherapy and Immune Responses (4 papers), Chromosomal and Genetic Variations (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cancer Research (371 citations) and Genetics (471 citations). Petra Schwalie has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Dominic Schmidt, Paul Flicek, Duncan T. Odom, Gordon D. Brown, Michael D. Wilson, Claudia Kutter, Benoît Ballester, Aileen Marshall, Bart Deplancke and Stephen Watt. Their work appears in journals such as Nature, Science and Cell.
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.