Lynn Quek
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Platelet Disorders and Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 43
- Acute Myeloid Leukemia Research 31
- Platelet Disorders and Treatments 10
- Chronic Myeloid Leukemia Treatments 6
- Genetics 13
- Myeloproliferative Neoplasms: Diagnosis and Treatment 10
- Co-authors
- Steve P. WatsonJoseph B. BolenParesh VyasJean‐Max PasquetSwee Lay TheinAmrana QureshiFrancesco DazziVincenzo Cerundolo
- Journals
- Blood (24 papers)British Journal of Haematology (5 papers)Blood Advances (3 papers)Haematologica (2 papers)HemaSphere (2 papers)
- Partner nations
- United KingdomUnited StatesBrazil
In The Last Decade
Lynn Quek
49 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 78
- Hematology 1.1k
- Genetics 394
- Immunology and Allergy 190
- Immunology 440
- Cancer Research 184
Countries citing papers authored by Lynn Quek
This map shows the geographic impact of Lynn Quek'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 Lynn Quek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn Quek more than expected).
Fields of papers citing papers by Lynn Quek
This network shows the impact of papers produced by Lynn Quek. 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 Lynn Quek. The network helps show where Lynn Quek may publish in the future.
Co-authors
The 25 scholars most cited alongside Lynn Quek, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 28 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 4 | |
| 13 | 2019 | 0 | |
| 14 | 2017 | 249 | |
| 15 | 2017 | 144 | |
| 16 | MOLECULAR PREDICTORS OF RESPONSE TO AZACITIDINE THERAPY: THE RESULTS OF THE UK TRIALS ACCELERATION PROGRAMME RAVVA STUDY | 2017 | 4 |
| 17 | A NOVEL MODEL OF HUMAN LYMPHO-MYELOID PROGENITOR HIERARCHY BASED ON SINGLE CELL FUNCTIONAL AND TRANSCRIPTIONAL ANALYSIS | 2017 | 2 |
| 18 | 2010 | 9 | |
| 19 | 2000 | 47 | |
| 20 | 1998 | 201 |
About Lynn Quek
Lynn Quek is a scholar working on Hematology, Genetics, Immunology and Allergy, Cancer Research and Emergency Medicine, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (31 papers), Platelet Disorders and Treatments (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Histone Deacetylase Inhibitors Research (7 papers), Cell Adhesion Molecules Research (7 papers), Epigenetics and DNA Methylation (6 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Immune cells in cancer (6 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (394 citations), Immunology and Allergy (190 citations), Immunology (440 citations) and Cancer Research (184 citations). Lynn Quek has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Steve P. Watson, Joseph B. Bolen, Paresh Vyas, Jean‐Max Pasquet, Swee Lay Thein, Amrana Qureshi, Francesco Dazzi, Vincenzo Cerundolo, Francis Mussai and Rosanna M. McEwen-Smith. Their work appears in journals such as Blood, British Journal of Haematology, Blood Advances, Haematologica and HemaSphere.
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.