David Irvine
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Chronic Myeloid Leukemia Treatments 8
-
- Hedgehog Signaling Pathway Studies 5
- Co-authors
- Mhairi Copland (11 shared papers)Charlotte Aull Davies (1 shared paper)Lauren A. Wise (1 shared paper)David Gunnell (1 shared paper)Richard M. Martin (1 shared paper)Michael Bagshaw (2 shared papers)Tessa L. Holyoake (7 shared papers)Ravi Bhatia (5 shared papers)
- Journals
- Blood (6 papers)Leukemia (2 papers)Optics Express (1 paper)Scientific Reports (1 paper)Blood Advances (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
David Irvine
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 117
- Hematology 237
- Genetics 138
- Oncology 250
- Equine 15
- Small Animals 55
Countries citing papers authored by David Irvine
This map shows the geographic impact of David Irvine'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 David Irvine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Irvine more than expected).
Fields of papers citing papers by David Irvine
This network shows the impact of papers produced by David Irvine. 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 David Irvine. The network helps show where David Irvine may publish in the future.
Co-authors
The 25 scholars most cited alongside David Irvine, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 146 | |
| 2 | 2013 | 110 | |
| 3 | 2012 | 109 | |
| 4 | 2003 | 71 | |
| 5 | 2023 | 64 | |
| 6 | British Airways flightdeck mortality study, 1950-1992. | 1999 | 60 |
| 7 | 2016 | 58 | |
| 8 | 1998 | 54 | |
| 9 | 2020 | 50 | |
| 10 | 1996 | 36 | |
| 11 | 2020 | 36 | |
| 12 | The mortality of British Airways pilots, 1966-1989: a proportional mortality study. | 1992 | 35 |
| 13 | 2010 | 35 | |
| 14 | 1989 | 32 | |
| 15 | 2005 | 31 | |
| 16 | 2012 | 25 | |
| 17 | 2009 | 21 | |
| 18 | 2022 | 17 | |
| 19 | 2014 | 17 | |
| 20 | 2000 | 15 |
About David Irvine
David Irvine is a scholar working on Hematology, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (8 papers), CAR-T cell therapy research (6 papers), Hedgehog Signaling Pathway Studies (5 papers), Air Quality and Health Impacts (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Advanced Fiber Laser Technologies (3 papers). The work is most often cited by research in Hematology (237 citations), Genetics (138 citations), Oncology (250 citations), Equine (15 citations) and Small Animals (55 citations). David Irvine has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Mhairi Copland, Charlotte Aull Davies, Lauren A. Wise, David Gunnell, Richard M. Martin, Michael Bagshaw, Tessa L. Holyoake, Ravi Bhatia, Liam Smeeth and Ian Douglas. Their work appears in journals such as Blood, Leukemia, Optics Express, Scientific Reports and Blood Advances.
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.