Sylvia Philipps
Impact in
- Hematology top 10%
- Blood groups and transfusion
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
- Hematology 18
- Blood groups and transfusion 18
- Physiology 14
- Erythrocyte Function and Pathophysiology 14
- Co-authors
- Hiroko Kaita (21 shared papers)Gail Coghlan (13 shared papers)M. Lewis (14 shared papers)Barbara L. Triggs‐Raine (2 shared papers)James C. Haworth (2 shared papers)Lorne E. Seargeant (2 shared papers)Teresa Zelinski (9 shared papers)Bernard N. Chodirker (1 shared paper)
- Journals
- Genomics (7 papers)Vox Sanguinis (7 papers)Annals of Human Genetics (6 papers)Transfusion (5 papers)Journal of Hypertension (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Sylvia Philipps
31 papers receiving 395 citations
Peers
Comparison fields: 5 of 54
- Hematology 131
- Clinical Biochemistry 50
- Endocrinology, Diabetes and Metabolism 107
- Rheumatology 80
- Physiology 123
Countries citing papers authored by Sylvia Philipps
This map shows the geographic impact of Sylvia Philipps'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 Sylvia Philipps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvia Philipps more than expected).
Fields of papers citing papers by Sylvia Philipps
This network shows the impact of papers produced by Sylvia Philipps. 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 Sylvia Philipps. The network helps show where Sylvia Philipps may publish in the future.
Co-authors
The 25 scholars most cited alongside Sylvia Philipps, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 94 | |
| 2 | 1995 | 54 | |
| 3 | 1991 | 27 | |
| 4 | 1990 | 26 | |
| 5 | 1987 | 22 | |
| 6 | 1988 | 18 | |
| 7 | 1963 | 18 | |
| 8 | 1990 | 16 | |
| 9 | 1985 | 14 | |
| 10 | 1980 | 14 | |
| 11 | 1991 | 13 | |
| 12 | 1993 | 10 | |
| 13 | 1987 | 10 | |
| 14 | 1988 | 7 | |
| 15 | Exclusion of the gelsolin gene on 9q32-34 as the cause of familial lattice corneal dystrophy type I. | 1992 | 7 |
| 16 | 1995 | 6 | |
| 17 | 1964 | 6 | |
| 18 | 1982 | 6 | |
| 19 | 1988 | 5 | |
| 20 | 1989 | 5 |
About Sylvia Philipps
Sylvia Philipps is a scholar working on Hematology, Physiology, Molecular Biology, Genetics and Immunology, having authored 32 papers that have together received 413 indexed citations. Recurring topics across this work include Blood groups and transfusion (18 papers), Erythrocyte Function and Pathophysiology (14 papers), RNA modifications and cancer (5 papers), Biochemical and Molecular Research (3 papers), Microbial infections and disease research (3 papers), Metabolism and Genetic Disorders (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Hematology (131 citations), Clinical Biochemistry (50 citations), Endocrinology, Diabetes and Metabolism (107 citations), Rheumatology (80 citations) and Physiology (123 citations). Sylvia Philipps has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Hiroko Kaita, Gail Coghlan, M. Lewis, Barbara L. Triggs‐Raine, James C. Haworth, Lorne E. Seargeant, Teresa Zelinski, Bernard N. Chodirker, Marion Lewis and P.J. McAlpine. Their work appears in journals such as Genomics, Vox Sanguinis, Annals of Human Genetics, Transfusion and Journal of Hypertension.
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.