Gavin Cull
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Glioma Diagnosis and Treatment
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- Lymphoma Diagnosis and Treatment
Papers in ⓘ
- Genetics 40
- Chronic Lymphocytic Leukemia Research 34
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- Lymphoma Diagnosis and Treatment 33
- Co-authors
- Paula Marlton (20 shared papers)Stephen Opat (21 shared papers)Constantine S. Tam (22 shared papers)David Simpson (16 shared papers)Devinder Gill (9 shared papers)Judith Trotman (16 shared papers)Paul Cannell (3 shared papers)Javier Muñoz (9 shared papers)
- Journals
- Blood (17 papers)HemaSphere (5 papers)Hematological Oncology (5 papers)British Journal of Haematology (4 papers)Neuro-Oncology (3 papers)
- Partner nations
- AustraliaNew ZealandUnited States
In The Last Decade
Gavin Cull
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 77
- Genetics 601
- Pathology and Forensic Medicine 662
- Hematology 332
- Neurology 230
- Oncology 367
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 162 | |
| 2 | 2002 | 99 | |
| 3 | 2009 | 77 | |
| 4 | 2020 | 73 | |
| 5 | 2021 | 63 | |
| 6 | 2000 | 59 | |
| 7 | 2000 | 52 | |
| 8 | 2007 | 51 | |
| 9 | 1997 | 35 | |
| 10 | 2021 | 29 | |
| 11 | 2016 | 27 | |
| 12 | 2019 | 24 | |
| 13 | 2002 | 21 | |
| 14 | 2001 | 19 | |
| 15 | 2006 | 18 | |
| 16 | 2017 | 18 | |
| 17 | 2019 | 18 | |
| 18 | 2019 | 16 | |
| 19 | 2005 | 16 | |
| 20 | 2014 | 16 |
About Gavin Cull
Gavin Cull is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Oncology and Neurology, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (34 papers), Lymphoma Diagnosis and Treatment (33 papers), CNS Lymphoma Diagnosis and Treatment (11 papers), Acute Lymphoblastic Leukemia research (9 papers), Chronic Myeloid Leukemia Treatments (8 papers), Acute Myeloid Leukemia Research (6 papers), Hematopoietic Stem Cell Transplantation (6 papers) and Viral-associated cancers and disorders (5 papers). The work is most often cited by research in Genetics (601 citations), Pathology and Forensic Medicine (662 citations), Hematology (332 citations), Neurology (230 citations) and Oncology (367 citations). Gavin Cull has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Paula Marlton, Stephen Opat, Constantine S. Tam, David Simpson, Devinder Gill, Judith Trotman, Paul Cannell, Javier Muñoz, Ralph Cobcroft and John F. Seymour. Their work appears in journals such as Blood, HemaSphere, Hematological Oncology, British Journal of Haematology and Neuro-Oncology.
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.