Geoffrey Chan
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 45
- Acute Myeloid Leukemia Research 31
- Hematopoietic Stem Cell Transplantation 11
- Multiple Myeloma Research and Treatments 9
- Genetics 33
- Chronic Lymphocytic Leukemia Research 31
- Co-authors
- Tadeusz RobakJörge E. CortesWilliam G. WierdaK B MillerM. Naveed ShaikFrancine M. FossMirjana ZeremskiAshleigh O’Connell
- Journals
- Blood (22 papers)Journal of Clinical Oncology (12 papers)Journal of Crohn s and Colitis (7 papers)Biology of Blood and Marrow Transplantation (4 papers)Bone Marrow Transplantation (4 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Geoffrey Chan
88 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Hematology 1.2k
- Genetics 794
- Pathology and Forensic Medicine 753
- Immunology 569
- Transplantation 70
Countries citing papers authored by Geoffrey Chan
This map shows the geographic impact of Geoffrey Chan'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 Geoffrey Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey Chan more than expected).
Fields of papers citing papers by Geoffrey Chan
This network shows the impact of papers produced by Geoffrey Chan. 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 Geoffrey Chan. The network helps show where Geoffrey Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Geoffrey Chan, 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 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 15 | |
| 4 | 2022 | 11 | |
| 5 | 2021 | 36 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 29 | |
| 8 | 2019 | 38 | |
| 9 | 2019 | 9 | |
| 10 | 2019 | 16 | |
| 11 | 2019 | 4 | |
| 12 | 2018 | 86 | |
| 13 | Randomized comparison of low dose cytarabine with or without glasdegib in patients with newly diagnosed acute myeloid leukemia or high-risk myelodysplastic syndrome Hit paper breakdown → | 2018 | 354 |
| 14 | 2017 | 1 | |
| 15 | 2015 | 4 | |
| 16 | 2012 | 124 | |
| 17 | 2011 | 86 | |
| 18 | 2005 | 143 | |
| 19 | 2004 | 53 | |
| 20 | 2003 | 15 |
About Geoffrey Chan
Geoffrey Chan is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Transplantation and Immunology, having authored 89 papers that have together received 2.5k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (31 papers), Acute Myeloid Leukemia Research (31 papers), Hedgehog Signaling Pathway Studies (31 papers), Lymphoma Diagnosis and Treatment (13 papers), Tumors and Oncological Cases (12 papers), Hematopoietic Stem Cell Transplantation (11 papers), Multiple Myeloma Research and Treatments (9 papers) and Immunodeficiency and Autoimmune Disorders (9 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (794 citations), Pathology and Forensic Medicine (753 citations), Immunology (569 citations) and Transplantation (70 citations). Geoffrey Chan has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Tadeusz Robak, Jörge E. Cortes, William G. Wierda, K B Miller, M. Naveed Shaik, Francine M. Foss, Mirjana Zeremski, Ashleigh O’Connell, Weidong Wendy and Andrzej Hellmann. Their work appears in journals such as Blood, Journal of Clinical Oncology, Journal of Crohn s and Colitis, Biology of Blood and Marrow Transplantation and Bone Marrow Transplantation.
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.