Gavin Cull
Impact in
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 43
- Chronic Lymphocytic Leukemia Research 38
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- Lymphoma Diagnosis and Treatment 39
- Co-authors
- Paula V. Marlton (14 shared papers)Paul Cannell (5 shared papers)Constantine Si Lun Tam (15 shared papers)Devinder Singh Gill (10 shared papers)Stephen Opat (13 shared papers)David Simpson (11 shared papers)Judith Trotman (10 shared papers)Ralph Cobcroft (4 shared papers)
- Journals
- Blood (17 papers)British Journal of Haematology (8 papers)Blood Advances (6 papers)Hematological Oncology (5 papers)Pathology (4 papers)
- Partner nations
- AustraliaNew ZealandUnited States
In The Last Decade
Gavin Cull
79 papers receiving 2.4k citations
Gavin Cull's Hit Papers
Peers
Comparison fields: 5 of 86
- Genetics 1.4k
- Pathology and Forensic Medicine 1.2k
- Hematology 609
- Neurology 328
- Immunology 433
Countries citing papers authored by Gavin Cull
This map shows the geographic impact of Gavin Cull'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 Gavin Cull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Cull more than expected).
Fields of papers citing papers by Gavin Cull
This network shows the impact of papers produced by Gavin Cull. 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 Gavin Cull. The network helps show where Gavin Cull may publish in the future.
Co-authors
The 25 scholars most cited alongside Gavin Cull, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A randomized phase 3 trial of zanubrutinib vs ibrutinib in symptomatic Waldenström macroglobulinemia: the ASPEN study Hit paper breakdown → | 2020 | 365 |
| 2 | 2019 | 301 | |
| 3 | 2019 | 183 | |
| 4 | 2002 | 106 | |
| 5 | 2020 | 95 | |
| 6 | 2021 | 85 | |
| 7 | 2009 | 77 | |
| 8 | 2023 | 77 | |
| 9 | 2021 | 74 | |
| 10 | 2020 | 70 | |
| 11 | 2007 | 69 | |
| 12 | 2000 | 64 | |
| 13 | 2000 | 55 | |
| 14 | 2016 | 44 | |
| 15 | 2008 | 43 | |
| 16 | 1997 | 37 | |
| 17 | 2021 | 35 | |
| 18 | 2018 | 33 | |
| 19 | 2016 | 32 | |
| 20 | 2002 | 28 |
About Gavin Cull
Gavin Cull is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Oncology and Neurology, having authored 81 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (39 papers), Chronic Lymphocytic Leukemia Research (38 papers), Acute Lymphoblastic Leukemia research (11 papers), Acute Myeloid Leukemia Research (11 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), Chronic Myeloid Leukemia Treatments (8 papers), Immunodeficiency and Autoimmune Disorders (7 papers) and Neutropenia and Cancer Infections (7 papers). The work is most often cited by research in Genetics (1.4k citations), Pathology and Forensic Medicine (1.2k citations), Hematology (609 citations), Neurology (328 citations) and Immunology (433 citations). Gavin Cull has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Paula V. Marlton, Paul Cannell, Constantine Si Lun Tam, Devinder Singh Gill, Stephen Opat, David Simpson, Judith Trotman, Ralph Cobcroft, Glen Kennedy and Javier L Munoz. Their work appears in journals such as Blood, British Journal of Haematology, Blood Advances, Hematological Oncology and Pathology.
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.