Gemma Dyer
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
-
- Cancer survivorship and care
- Polyomavirus and related diseases
Papers in
- Oncology 10
- Cancer survivorship and care 8
- Polyomavirus and related diseases 2
-
- Childhood Cancer Survivors' Quality of Life 6
- Co-authors
- Karl S. Peggs (1 shared paper)Kirsty Thomson (1 shared paper)Mark W. Lowdell (1 shared paper)Stephen Mackinnon (1 shared paper)Edward Samuel (1 shared paper)Ronjon Chakraverty (1 shared paper)Nicole Gilroy (11 shared papers)Matthew Greenwood (11 shared papers)
- Journals
- Bone Marrow Transplantation (2 papers)Cancer Medicine (2 papers)Supportive Care in Cancer (2 papers)Clinical Infectious Diseases (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Gemma Dyer
12 papers receiving 338 citations
Peers
Comparison fields: 5 of 47
- Hematology 86
- Oncology 158
- Transplantation 14
- Epidemiology 169
- Pediatrics, Perinatology and Child Health 78
Countries citing papers authored by Gemma Dyer
This map shows the geographic impact of Gemma Dyer'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 Gemma Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma Dyer more than expected).
Fields of papers citing papers by Gemma Dyer
This network shows the impact of papers produced by Gemma Dyer. 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 Gemma Dyer. The network helps show where Gemma Dyer may publish in the future.
Co-authors
The 23 scholars most cited alongside Gemma Dyer, 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 | 174 | |
| 2 | 2015 | 29 | |
| 3 | 2016 | 27 | |
| 4 | 2015 | 21 | |
| 5 | 2016 | 19 | |
| 6 | 2016 | 16 | |
| 7 | 2018 | 14 | |
| 8 | 2018 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2016 | 8 | |
| 12 | 2021 | 6 | |
| 13 | The experience of long-term survival following allogeneic blood and marrow transplant (BMT) in New South Wales (NSW), Australia | 2018 | 0 |
About Gemma Dyer
Gemma Dyer is a scholar working on Oncology, Pediatrics, Perinatology and Child Health, Hematology, Sociology and Political Science and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 341 indexed citations. Recurring topics across this work include Cancer survivorship and care (8 papers), Childhood Cancer Survivors' Quality of Life (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Family Support in Illness (3 papers), Polyomavirus and related diseases (2 papers), Palliative Care and End-of-Life Issues (2 papers), Oral and gingival health research (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Hematology (86 citations), Oncology (158 citations), Transplantation (14 citations), Epidemiology (169 citations) and Pediatrics, Perinatology and Child Health (78 citations). Gemma Dyer has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Karl S. Peggs, Kirsty Thomson, Mark W. Lowdell, Stephen Mackinnon, Edward Samuel, Ronjon Chakraverty, Nicole Gilroy, Matthew Greenwood, Ian Kerridge and Mark Hertzberg. Their work appears in journals such as Bone Marrow Transplantation, Cancer Medicine, Supportive Care in Cancer, Clinical Infectious Diseases and British Journal of Haematology.
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.