Noémi Roy
Impact in
- Hematology top 10%
- Iron Metabolism and Disorders
- Acute Myeloid Leukemia Research
- Erythropoietin and Anemia Treatment
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
Papers in
- Genetics 16
- Hemoglobinopathies and Related Disorders 15
- Hematology 14
- Iron Metabolism and Disorders 8
- Acute Myeloid Leukemia Research 2
- Co-authors
- Edwin R. Chilvers (1 shared paper)Christopher Haslett (1 shared paper)Ian Dransfield (1 shared paper)Adriano G. Rossi (1 shared paper)Christian Babbs (3 shared papers)Sue Pavord (1 shared paper)Simon Stanworth (7 shared papers)Carolyn Dorée (2 shared papers)
- Journals
- British Journal of Haematology (6 papers)Nature Communications (2 papers)HemaSphere (2 papers)Health Expectations (1 paper)Blood Advances (1 paper)
- Partner nations
- United KingdomItalyCanada
In The Last Decade
Noémi Roy
25 papers receiving 410 citations
Peers
Comparison fields: 5 of 81
- Hematology 147
- Genetics 131
- Biochemistry 37
- Immunology 85
- Physiology 80
Countries citing papers authored by Noémi Roy
This map shows the geographic impact of Noémi Roy'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 Noémi Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noémi Roy more than expected).
Fields of papers citing papers by Noémi Roy
This network shows the impact of papers produced by Noémi Roy. 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 Noémi Roy. The network helps show where Noémi Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Noémi Roy, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 130 | |
| 2 | 2011 | 48 | |
| 3 | 2016 | 31 | |
| 4 | 2019 | 28 | |
| 5 | 2018 | 24 | |
| 6 | 2018 | 23 | |
| 7 | 2020 | 22 | |
| 8 | 2023 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2023 | 17 | |
| 11 | 2023 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2023 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2008 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 1 |
About Noémi Roy
Noémi Roy is a scholar working on Genetics, Hematology, Physiology, Molecular Biology and Biochemistry, having authored 26 papers that have together received 419 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (15 papers), Iron Metabolism and Disorders (8 papers), Erythrocyte Function and Pathophysiology (7 papers), Blood transfusion and management (4 papers), RNA modifications and cancer (4 papers), Acute Myeloid Leukemia Research (2 papers), Blood properties and coagulation (2 papers) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Hematology (147 citations), Genetics (131 citations), Biochemistry (37 citations), Immunology (85 citations) and Physiology (80 citations). Noémi Roy has collaborated with scholars based in United Kingdom, Italy and Canada. Frequent co-authors include Edwin R. Chilvers, Christopher Haslett, Ian Dransfield, Adriano G. Rossi, Christian Babbs, Sue Pavord, Simon Stanworth, Carolyn Dorée, Sheila Fisher and Akshay Shah. Their work appears in journals such as British Journal of Haematology, Nature Communications, HemaSphere, Health Expectations and Blood Advances.
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.