Kay Elderfield
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Hematology top 10%
Papers in
- Genetics 3
- Chronic Lymphocytic Leukemia Research 2
-
- Acute Myeloid Leukemia Research 1
- Hemophilia Treatment and Research 1
- Chronic Myeloid Leukemia Treatments 1
- Co-authors
- Robert Clive Landis (1 shared paper)Dorian O. Haskard (1 shared paper)Joseph J. Boyle (1 shared paper)Jaroslav Stark (1 shared paper)Leslie Bridges (4 shared papers)Kikkeri N. Naresh (6 shared papers)Hugh S. Markus (2 shared papers)Atticus H. Hainsworth (2 shared papers)
- Journals
- Journal of Clinical Pathology (3 papers)Neurology (1 paper)American Journal Of Pathology (1 paper)PLoS ONE (1 paper)Stroke (1 paper)
- Partner nations
- United KingdomUnited StatesPortugal
In The Last Decade
Kay Elderfield
13 papers receiving 634 citations
Peers
Comparison fields: 5 of 65
- Genetics 88
- Hematology 91
- Neurology 66
- Immunology 146
- Neurology 72
Countries citing papers authored by Kay Elderfield
This map shows the geographic impact of Kay Elderfield'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 Kay Elderfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Elderfield more than expected).
Fields of papers citing papers by Kay Elderfield
This network shows the impact of papers produced by Kay Elderfield. 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 Kay Elderfield. The network helps show where Kay Elderfield may publish in the future.
Co-authors
The 25 scholars most cited alongside Kay Elderfield, 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 | 2009 | 260 | |
| 2 | 2011 | 88 | |
| 3 | 2017 | 71 | |
| 4 | 2006 | 50 | |
| 5 | 2010 | 33 | |
| 6 | 2007 | 30 | |
| 7 | 2007 | 29 | |
| 8 | 2013 | 27 | |
| 9 | 2009 | 20 | |
| 10 | 2008 | 14 | |
| 11 | 2013 | 12 | |
| 12 | 2007 | 6 | |
| 13 | 2016 | 4 |
About Kay Elderfield
Kay Elderfield is a scholar working on Genetics, Hematology, Molecular Biology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 644 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Acute Myeloid Leukemia Research (1 paper), Hemophilia Treatment and Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Genetics (88 citations), Hematology (91 citations), Neurology (66 citations), Immunology (146 citations) and Neurology (72 citations). Kay Elderfield has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Robert Clive Landis, Dorian O. Haskard, Joseph J. Boyle, Jaroslav Stark, Leslie Bridges, Kikkeri N. Naresh, Hugh S. Markus, Atticus H. Hainsworth, Donna Horncastle and J. H. Williams. Their work appears in journals such as Journal of Clinical Pathology, Neurology, American Journal Of Pathology, PLoS ONE and Stroke.
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.