Emily Steed
Impact in
- Neurology top 5%
- Barrier Structure and Function Studies
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Congenital heart defects research 6
- Connexins and lens biology 3
- Wnt/β-catenin signaling in development and cancer 2
- S100 Proteins and Annexins 2
-
- Zebrafish Biomedical Research Applications 5
- Co-authors
- María S. Balda (5 shared papers)Karl Matter (5 shared papers)Julien Vermot (9 shared papers)Francesco Boselli (6 shared papers)Nelio T. L. Rodrigues (1 shared paper)Stéphane Roth (3 shared papers)Caroline Ramspacher (3 shared papers)Rita R. Ferreira (2 shared papers)
- Journals
- Cell Reports (2 papers)Journal of Visualized Experiments (2 papers)The Journal of Cell Biology (1 paper)BMC Cell Biology (1 paper)Scientific Reports (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Emily Steed
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Neurology 273
- Cell Biology 306
- Molecular Biology 678
- Structural Biology 10
- Immunology and Allergy 41
Countries citing papers authored by Emily Steed
This map shows the geographic impact of Emily Steed'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 Emily Steed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Steed more than expected).
Fields of papers citing papers by Emily Steed
This network shows the impact of papers produced by Emily Steed. 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 Emily Steed. The network helps show where Emily Steed may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily Steed, 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 | 2010 | 319 | |
| 2 | 2014 | 164 | |
| 3 | 2009 | 149 | |
| 4 | 2016 | 88 | |
| 5 | 2014 | 63 | |
| 6 | 2014 | 63 | |
| 7 | 2013 | 58 | |
| 8 | 2015 | 47 | |
| 9 | 2017 | 41 | |
| 10 | 2015 | 33 | |
| 11 | 2011 | 31 | |
| 12 | 2018 | 11 | |
| 13 | 2010 | 10 | |
| 14 | 2016 | 8 | |
| 15 | 2018 | 4 | |
| 16 | 2018 | 3 |
About Emily Steed
Emily Steed is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Neurology and Cancer Research, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Congenital heart defects research (6 papers), Zebrafish Biomedical Research Applications (5 papers), Connexins and lens biology (3 papers), Barrier Structure and Function Studies (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Neurology (273 citations), Cell Biology (306 citations), Molecular Biology (678 citations), Structural Biology (10 citations) and Immunology and Allergy (41 citations). Emily Steed has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include María S. Balda, Karl Matter, Julien Vermot, Francesco Boselli, Nelio T. L. Rodrigues, Stéphane Roth, Caroline Ramspacher, Rita R. Ferreira, Michael Liebling and Jean‐Paul Concordet. Their work appears in journals such as Cell Reports, Journal of Visualized Experiments, The Journal of Cell Biology, BMC Cell Biology and Scientific Reports.
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.