Emma Spanjaard
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Ubiquitin and proteasome pathways 2
- Signaling Pathways in Disease 2
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- Cellular Mechanics and Interactions 5
- Cellular transport and secretion 3
- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Johan de Rooij (8 shared papers)Holger Rehmann (3 shared papers)Stephan Huveneers (3 shared papers)Joppe Oldenburg (2 shared papers)Anna Akhmanova (2 shared papers)Ilya Grigoriev (2 shared papers)Johannes L. Bos (4 shared papers)Martijn Gloerich (1 shared paper)
- Journals
- Cancer Research (2 papers)Molecular Oncology (1 paper)The Journal of Cell Biology (1 paper)PLoS ONE (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- NetherlandsUnited StatesFrance
In The Last Decade
Emma Spanjaard
9 papers receiving 629 citations
Peers
Comparison fields: 5 of 78
- Immunology and Allergy 129
- Cell Biology 340
- Neurology 45
- Molecular Biology 345
- Cancer Research 39
Countries citing papers authored by Emma Spanjaard
This map shows the geographic impact of Emma Spanjaard'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 Emma Spanjaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Spanjaard more than expected).
Fields of papers citing papers by Emma Spanjaard
This network shows the impact of papers produced by Emma Spanjaard. 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 Emma Spanjaard. The network helps show where Emma Spanjaard may publish in the future.
Co-authors
The 25 scholars most cited alongside Emma Spanjaard, 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 | 2012 | 392 | |
| 2 | 2012 | 67 | |
| 3 | 2011 | 61 | |
| 4 | 2013 | 30 | |
| 5 | 2012 | 28 | |
| 6 | 2014 | 25 | |
| 7 | 2012 | 15 | |
| 8 | 2014 | 11 | |
| 9 | 2012 | 6 | |
| 10 | 2022 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2024 | 0 |
About Emma Spanjaard
Emma Spanjaard is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Oncology and Biomedical Engineering, having authored 12 papers that have together received 636 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Cell Adhesion Molecules Research (4 papers), Cellular transport and secretion (3 papers), Ubiquitin and proteasome pathways (2 papers), Signaling Pathways in Disease (2 papers), 3D Printing in Biomedical Research (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Immunology and Allergy (129 citations), Cell Biology (340 citations), Neurology (45 citations), Molecular Biology (345 citations) and Cancer Research (39 citations). Emma Spanjaard has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Johan de Rooij, Holger Rehmann, Stephan Huveneers, Joppe Oldenburg, Anna Akhmanova, Ilya Grigoriev, Johannes L. Bos, Martijn Gloerich, Fried Zwartkruis and Anne Jan van der Meer. Their work appears in journals such as Cancer Research, Molecular Oncology, The Journal of Cell Biology, PLoS ONE and The Journal of Experimental Medicine.
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.