F. Giles
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 17
- Chronic Myeloid Leukemia Treatments 15
- Acute Myeloid Leukemia Research 3
- Genetics 14
- Chronic Lymphocytic Leukemia Research 13
- Co-authors
- Hagop M. Kantarjian (10 shared papers)Norbert Ifrah (1 shared paper)Jörge E. Cortes (3 shared papers)Gareth J. Morgan (1 shared paper)Michele Baccarani (4 shared papers)Kapil N. Bhalla (5 shared papers)Feyruz V. Rassool (1 shared paper)John Gow (1 shared paper)
- Journals
- Journal of Clinical Oncology (13 papers)HemaSphere (2 papers)Blood Cancer Journal (1 paper)Pure Amsterdam UMC (1 paper)PubMed (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
F. Giles
18 papers receiving 228 citations
Peers
Comparison fields: 5 of 31
- Hematology 180
- Genetics 155
- Rheumatology 104
- Oncology 55
- Cell Biology 30
Countries citing papers authored by F. Giles
This map shows the geographic impact of F. Giles'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 F. Giles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Giles more than expected).
Fields of papers citing papers by F. Giles
This network shows the impact of papers produced by F. Giles. 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 F. Giles. The network helps show where F. Giles may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Giles, 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 | 2014 | 56 | |
| 2 | Molecular analysis of Philadelphia positive essential thrombocythemia. | 1989 | 49 |
| 3 | 2009 | 24 | |
| 4 | 2005 | 20 | |
| 5 | 2009 | 14 | |
| 6 | 2006 | 13 | |
| 7 | 2007 | 13 | |
| 8 | 2006 | 12 | |
| 9 | 2007 | 12 | |
| 10 | 2006 | 8 | |
| 11 | 2006 | 7 | |
| 12 | 2006 | 5 | |
| 13 | 2005 | 3 | |
| 14 | 2007 | 3 | |
| 15 | 2019 | 2 | |
| 16 | Deregulated CD62L expression predicts molecular response to nilotinib therapy in early chronic phase Chronic Myelogenous Leukemia (CML-CP) | 2016 | 1 |
| 17 | 2006 | 1 | |
| 18 | 2019 | 1 |
About F. Giles
F. Giles is a scholar working on Hematology, Genetics, Rheumatology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 18 papers that have together received 244 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (15 papers), Chronic Lymphocytic Leukemia Research (13 papers), Acute Lymphoblastic Leukemia research (6 papers), Eosinophilic Disorders and Syndromes (6 papers), Acute Myeloid Leukemia Research (3 papers), HER2/EGFR in Cancer Research (2 papers), Microtubule and mitosis dynamics (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Hematology (180 citations), Genetics (155 citations), Rheumatology (104 citations), Oncology (55 citations) and Cell Biology (30 citations). F. Giles has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Hagop M. Kantarjian, Norbert Ifrah, Jörge E. Cortes, Gareth J. Morgan, Michele Baccarani, Kapil N. Bhalla, Feyruz V. Rassool, John Gow, J M Goldman and Philippe Martiat. Their work appears in journals such as Journal of Clinical Oncology, HemaSphere, Blood Cancer Journal, Pure Amsterdam UMC and PubMed.
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.