Sofia Edlund
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
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- TGF-β signaling in diseases
- Wnt/β-catenin signaling in development and cancer
- Bone Metabolism and Diseases
- Cancer-related gene regulation
- Kruppel-like factors research
Papers in ⓘ
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- TGF-β signaling in diseases 5
- Wnt/β-catenin signaling in development and cancer 2
- Connective Tissue Growth Factor Research 2
- Cancer-related gene regulation 1
- Cell death mechanisms and regulation 1
- Bone Metabolism and Diseases 1
- Protein Kinase Regulation and GTPase Signaling 1
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- Cellular Mechanics and Interactions 1
- Co-authors
- Maréne Landström (5 shared papers)Carl‐Henrik Heldin (5 shared papers)Pontus Aspenström (4 shared papers)Rainer Heuchel (1 shared paper)Norbert Schuster (1 shared paper)Shizhong Bu (1 shared paper)Peter ten Dijke (1 shared paper)Nils‐Erik Heldin (1 shared paper)
- Journals
- Molecular Biology of the Cell (3 papers)Molecular and Cellular Biology (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- SwedenUnited KingdomChina
In The Last Decade
Sofia Edlund
5 papers receiving 729 citations
Peers
Comparison fields: 5 of 70
- Immunology and Allergy 61
- Molecular Biology 592
- Oncology 182
- Cell Biology 100
- Cancer Research 88
Countries citing papers authored by Sofia Edlund
This map shows the geographic impact of Sofia Edlund'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 Sofia Edlund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Edlund more than expected).
Fields of papers citing papers by Sofia Edlund
This network shows the impact of papers produced by Sofia Edlund. 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 Sofia Edlund. The network helps show where Sofia Edlund may publish in the future.
Co-authors
The 16 scholars most cited alongside Sofia Edlund, 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 | 2002 | 356 | |
| 2 | 2003 | 197 | |
| 3 | 2005 | 103 | |
| 4 | 2004 | 50 | |
| 5 | 2012 | 31 |
About Sofia Edlund
Sofia Edlund is a scholar working on Molecular Biology, Cell Biology, Infectious Diseases, Organic Chemistry and Surgery, having authored 5 papers that have together received 737 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (5 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Connective Tissue Growth Factor Research (2 papers), Cancer-related gene regulation (1 paper), Cell death mechanisms and regulation (1 paper), Bone Metabolism and Diseases (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Cellular Mechanics and Interactions (1 paper). The work is most often cited by research in Immunology and Allergy (61 citations), Molecular Biology (592 citations), Oncology (182 citations), Cell Biology (100 citations) and Cancer Research (88 citations). Sofia Edlund has collaborated with scholars based in Sweden, United Kingdom and China. Frequent co-authors include Maréne Landström, Carl‐Henrik Heldin, Pontus Aspenström, Rainer Heuchel, Norbert Schuster, Shizhong Bu, Peter ten Dijke, Nils‐Erik Heldin, So Young Lee and Susanne Grimsby. Their work appears in journals such as Molecular Biology of the Cell, Molecular and Cellular Biology and Journal of Cell Science.
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.