Fátima Verı́ssimo
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Melanoma and MAPK Pathways 2
- Protein Tyrosine Phosphatases 2
- Glycosylation and Glycoproteins Research 1
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- Endoplasmic Reticulum Stress and Disease 5
- Cellular transport and secretion 4
- Co-authors
- Peter Jordan (5 shared papers)Rainer Pepperkok (8 shared papers)Matthias Weiß (2 shared papers)Jan Ellenberg (2 shared papers)Rebecca Forster (1 shared paper)Timo Zimmermann (1 shared paper)Emmanuel G. Reynaud (1 shared paper)David Stephens (1 shared paper)
- Journals
- Oncogene (3 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Cell Science (2 papers)Nature Communications (1 paper)Nature Methods (1 paper)
- Partner nations
- GermanyPortugalUnited Kingdom
In The Last Decade
Fátima Verı́ssimo
13 papers receiving 801 citations
Peers
Comparison fields: 5 of 86
- Biophysics 110
- Cell Biology 240
- Structural Biology 18
- Molecular Biology 542
- Cancer Research 50
Countries citing papers authored by Fátima Verı́ssimo
This map shows the geographic impact of Fátima Verı́ssimo'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 Fátima Verı́ssimo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fátima Verı́ssimo more than expected).
Fields of papers citing papers by Fátima Verı́ssimo
This network shows the impact of papers produced by Fátima Verı́ssimo. 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 Fátima Verı́ssimo. The network helps show where Fátima Verı́ssimo may publish in the future.
Co-authors
The 25 scholars most cited alongside Fátima Verı́ssimo, 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 | 2001 | 220 | |
| 2 | 2012 | 143 | |
| 3 | 2006 | 116 | |
| 4 | 2011 | 101 | |
| 5 | 2007 | 64 | |
| 6 | 2000 | 57 | |
| 7 | 2006 | 41 | |
| 8 | 2024 | 25 | |
| 9 | 2013 | 13 | |
| 10 | 2015 | 11 | |
| 11 | 2003 | 8 | |
| 12 | 2000 | 4 | |
| 13 | 2010 | 4 |
About Fátima Verı́ssimo
Fátima Verı́ssimo is a scholar working on Molecular Biology, Cell Biology, Biophysics, Infectious Diseases and Surgery, having authored 13 papers that have together received 807 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (5 papers), Cellular transport and secretion (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Melanoma and MAPK Pathways (2 papers), Protein Tyrosine Phosphatases (2 papers), Cell Image Analysis Techniques (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Biophysics (110 citations), Cell Biology (240 citations), Structural Biology (18 citations), Molecular Biology (542 citations) and Cancer Research (50 citations). Fátima Verı́ssimo has collaborated with scholars based in Germany, Portugal and United Kingdom. Frequent co-authors include Peter Jordan, Rainer Pepperkok, Matthias Weiß, Jan Ellenberg, Rebecca Forster, Timo Zimmermann, Emmanuel G. Reynaud, David Stephens, Paulo Matos and Christian Gespach. Their work appears in journals such as Oncogene, Biochemical and Biophysical Research Communications, Journal of Cell Science, Nature Communications and Nature Methods.
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.