Chris Arthur
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments 14
- Acute Myeloid Leukemia Research 3
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 16
- Rheumatology top 1%
- Eosinophilic Disorders and Syndromes 9
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 6
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility 4
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- Acute Lymphoblastic Leukemia research 5
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- Fungal Infections and Studies 4
- Co-authors
- Andrew GriggTimothy P. HughesKevin LynchSusan BranfordZbigniew RudzkiKerry TaylorRichard HerrmannJohn F. Seymour
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Chris Arthur
33 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Hematology 1.5k
- Genetics 1.1k
- Rheumatology 824
- Pathology and Forensic Medicine 170
- Infectious Diseases 173
Countries citing papers authored by Chris Arthur
This map shows the geographic impact of Chris Arthur'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 Chris Arthur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Arthur more than expected).
Fields of papers citing papers by Chris Arthur
This network shows the impact of papers produced by Chris Arthur. 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 Chris Arthur. The network helps show where Chris Arthur may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chris Arthur, 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 | 2021 | 11 | |
| 2 | 2021 | 7 | |
| 3 | 2020 | 8 | |
| 4 | 2017 | 40 | |
| 5 | 2008 | 9 | |
| 6 | 2008 | 7 | |
| 7 | 2007 | 29 | |
| 8 | 2007 | 7 | |
| 9 | 2006 | 20 | |
| 10 | 2004 | 2 | |
| 11 | 2003 | 118 | |
| 12 | Detection of BCR-ABL mutations in patients with CML treated with imatinib is virtually always accompanied by clinical resistance, and mutations in the ATP phosphate-binding loop (P-loop) are associated with a poor prognosisbreakdown → | 2003 | 561 |
| 13 | 2002 | 75 | |
| 14 | 2001 | 30 | |
| 15 | 2001 | 122 | |
| 16 | 2000 | 20 | |
| 17 | 1998 | 10 | |
| 18 | 1997 | 10 | |
| 19 | 1996 | 5 | |
| 20 | 1995 | 15 |
About Chris Arthur
Chris Arthur is a scholar working on Hematology, Genetics and Rheumatology, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (16 papers), Chronic Myeloid Leukemia Treatments (14 papers), Eosinophilic Disorders and Syndromes (9 papers), Lymphoma Diagnosis and Treatment (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Antifungal resistance and susceptibility (4 papers), Fungal Infections and Studies (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (1.5k citations), Genetics (1.1k citations) and Rheumatology (824 citations). Chris Arthur has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Andrew Grigg, Timothy P. Hughes, Kevin Lynch, Susan Branford, Zbigniew Rudzki, Kerry Taylor, Richard Herrmann, John F. Seymour, David Joske and Jeff Szer. Their work appears in journals such as Blood, British Journal of Haematology, Cancer, Open Forum Infectious Diseases and Journal of Clinical 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.