Daphne Pala
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
- Dermatology top 10%
- Dermatologic Treatments and Research
Papers in
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- Connective Tissue Growth Factor Research 6
- TGF-β signaling in diseases 1
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- Systemic Sclerosis and Related Diseases 3
- Co-authors
- Andrew Leask (8 shared papers)David E. Carter (5 shared papers)Shiwen Xu (4 shared papers)Laura Kennedy (4 shared papers)Frank Beier (4 shared papers)Carol M. Black (3 shared papers)David Abraham (3 shared papers)Mark Eastwood (3 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Molecular Biology of the Cell (1 paper)Arthritis Research & Therapy (1 paper)Osteoarthritis and Cartilage (1 paper)Journal of Cell Communication and Signaling (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Daphne Pala
8 papers receiving 499 citations
Peers
Comparison fields: 5 of 50
- Immunology and Allergy 78
- Dermatology 59
- Pathology and Forensic Medicine 100
- Rehabilitation 35
- Molecular Biology 300
Countries citing papers authored by Daphne Pala
This map shows the geographic impact of Daphne Pala'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 Daphne Pala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daphne Pala more than expected).
Fields of papers citing papers by Daphne Pala
This network shows the impact of papers produced by Daphne Pala. 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 Daphne Pala. The network helps show where Daphne Pala may publish in the future.
Co-authors
The 25 scholars most cited alongside Daphne Pala, 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 | 2006 | 136 | |
| 2 | 2007 | 112 | |
| 3 | 2008 | 68 | |
| 4 | 2008 | 45 | |
| 5 | 2008 | 42 | |
| 6 | 2008 | 39 | |
| 7 | 2007 | 35 | |
| 8 | 2008 | 30 |
About Daphne Pala
Daphne Pala is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Rheumatology, Genetics and Immunology and Allergy, having authored 8 papers that have together received 507 indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (6 papers), Systemic Sclerosis and Related Diseases (3 papers), Connective tissue disorders research (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers), Dermatologic Treatments and Research (1 paper), TGF-β signaling in diseases (1 paper) and Tendon Structure and Treatment (1 paper). The work is most often cited by research in Immunology and Allergy (78 citations), Dermatology (59 citations), Pathology and Forensic Medicine (100 citations), Rehabilitation (35 citations) and Molecular Biology (300 citations). Daphne Pala has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Andrew Leask, David E. Carter, Shiwen Xu, Laura Kennedy, Frank Beier, Carol M. Black, David Abraham, Mark Eastwood, Yunliang Chen and Shangxi Liu. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology of the Cell, Arthritis Research & Therapy, Osteoarthritis and Cartilage and Journal of Cell Communication and Signaling.
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.