Richard L. Darley
- Hematology top 1%
- Acute Myeloid Leukemia Research 24
- Immunology top 10%
- Immune Cell Function and Interaction 6
- Immune cells in cancer 5
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
- Genetics top 5%
- Blood disorders and treatments 5
- Molecular Biology top 10%
- Retinoids in leukemia and cellular processes 9
- Cancer Research top 10%
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- Cell Adhesion Molecules Research 5
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- Neuroinflammation and Neurodegeneration Mechanisms 4
- Co-authors
- Alex TonksPaul S. HoleAlan K. BurnettLorna PearnRobert K. HillsRose Ann PaduaGareth MorganAmanda J. Tonks
- Cited by
- HematologyImmunologyGenetics
- Journals
- Journal of Clinical Investigation (1 paper)The Journal of Experimental Medicine (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Richard L. Darley
49 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 90
- Hematology 676
- Immunology 404
- Genetics 160
- Molecular Biology 955
- Cancer Research 189
Countries citing papers authored by Richard L. Darley
This map shows the geographic impact of Richard L. Darley'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 Richard L. Darley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard L. Darley more than expected).
Fields of papers citing papers by Richard L. Darley
This network shows the impact of papers produced by Richard L. Darley. 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 Richard L. Darley. The network helps show where Richard L. Darley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard L. Darley, 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 | 2022 | 10 | |
| 2 | 2022 | 8 | |
| 3 | 2022 | 3 | |
| 4 | 2019 | 68 | |
| 5 | 2019 | 35 | |
| 6 | 2019 | 44 | |
| 7 | 2018 | 1 | |
| 8 | 2014 | 46 | |
| 9 | 2011 | 141 | |
| 10 | 2009 | 33 | |
| 11 | 2007 | 5 | |
| 12 | 2006 | 14 | |
| 13 | 2005 | 15 | |
| 14 | 1998 | 1 | |
| 15 | 1997 | 11 | |
| 16 | Mutant N-RAS induces erythroid lineage dysplasia in human CD34(+) progenitor cells | 1995 | 1 |
| 17 | 1995 | 10 | |
| 18 | 1993 | 13 | |
| 19 | 1993 | 3 | |
| 20 | 1992 | 4 |
About Richard L. Darley
Richard L. Darley is a scholar working on Hematology, Immunology and Allergy and Immunology, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (24 papers), Retinoids in leukemia and cellular processes (9 papers), Immune Cell Function and Interaction (6 papers), Blood disorders and treatments (5 papers), Immune cells in cancer (5 papers), Cell Adhesion Molecules Research (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Hematology (676 citations), Immunology (404 citations) and Genetics (160 citations). Richard L. Darley has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Alex Tonks, Paul S. Hole, Alan K. Burnett, Lorna Pearn, Alan K. Burnett, Robert K. Hills, Rose Ann Padua, Gareth Morgan, Amanda J. Tonks and Joanna Zabkiewicz. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Cell Biology.
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.