David A. Cairns
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
- Hematology 64
- Multiple Myeloma Research and Treatments 61
- Oncology 47
- Cancer Treatment and Pharmacology 24
- Peptidase Inhibition and Analysis 19
- Co-authors
- Rosamonde E. BanksPeter J. SelbyC. M. RobinsonDouglas ThompsonAnthea J. StanleyJennifer H. BarrettGordon CookMark T. Drayson
- Journals
- Blood (31 papers)PROTEOMICS (7 papers)Journal of Clinical Oncology (6 papers)PROTEOMICS - CLINICAL APPLICATIONS (5 papers)British Journal of Haematology (4 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
David A. Cairns
118 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 124
- Hematology 817
- Spectroscopy 459
- Oncology 650
- Molecular Biology 1.4k
- Cancer Research 283
Countries citing papers authored by David A. Cairns
This map shows the geographic impact of David A. Cairns'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 A. Cairns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Cairns more than expected).
Fields of papers citing papers by David A. Cairns
This network shows the impact of papers produced by David A. Cairns. 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 A. Cairns. The network helps show where David A. Cairns may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Cairns, 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 | 5 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 40 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 0 | |
| 14 | 2021 | 12 | |
| 15 | 2017 | 2 | |
| 16 | 2013 | 58 | |
| 17 | 2009 | 137 | |
| 18 | 2008 | 24 | |
| 19 | 1976 | 10 | |
| 20 | 1968 | 1 |
About David A. Cairns
David A. Cairns is a scholar working on Hematology, Oncology, Spectroscopy, Genetics and Geriatrics and Gerontology, having authored 131 papers that have together received 2.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (61 papers), Protein Degradation and Inhibitors (28 papers), Cancer Treatment and Pharmacology (24 papers), Peptidase Inhibition and Analysis (19 papers), Advanced Proteomics Techniques and Applications (18 papers), Mass Spectrometry Techniques and Applications (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers). The work is most often cited by research in Hematology (817 citations), Spectroscopy (459 citations), Oncology (650 citations), Molecular Biology (1.4k citations) and Cancer Research (283 citations). David A. Cairns has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Rosamonde E. Banks, Peter J. Selby, C. M. Robinson, Douglas Thompson, Anthea J. Stanley, Jennifer H. Barrett, Gordon Cook, Mark T. Drayson, Graham Jackson and Gareth J. Morgan. Their work appears in journals such as Blood, PROTEOMICS, Journal of Clinical Oncology, PROTEOMICS - CLINICAL APPLICATIONS and British Journal of Haematology.
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.