Dena Howard
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 10
- Chronic Lymphocytic Leukemia Research 10
-
- Lymphoma Diagnosis and Treatment 5
- Co-authors
- Walter M. Gregory (6 shared papers)Julia Brown (2 shared papers)Susan Todd (2 shared papers)Peter Hillmen (12 shared papers)Andy C. Rawstron (9 shared papers)Lucy McParland (6 shared papers)Talha Munir (7 shared papers)Abraham Varghese (5 shared papers)
- Journals
- Trials (4 papers)British Journal of Haematology (2 papers)Blood (2 papers)Leukemia (2 papers)Statistical Methods in Medical Research (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Dena Howard
15 papers receiving 176 citations
Peers
Comparison fields: 5 of 39
- Genetics 103
- Pathology and Forensic Medicine 75
- Statistics and Probability 31
- Hematology 29
- Immunology 43
Countries citing papers authored by Dena Howard
This map shows the geographic impact of Dena Howard'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 Dena Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dena Howard more than expected).
Fields of papers citing papers by Dena Howard
This network shows the impact of papers produced by Dena Howard. 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 Dena Howard. The network helps show where Dena Howard may publish in the future.
Co-authors
The 25 scholars most cited alongside Dena Howard, 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 | 2016 | 39 | |
| 2 | 2017 | 26 | |
| 3 | 2017 | 22 | |
| 4 | 2017 | 22 | |
| 5 | 2017 | 16 | |
| 6 | 2016 | 14 | |
| 7 | 2016 | 9 | |
| 8 | 2021 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2018 | 5 | |
| 11 | 2017 | 4 | |
| 12 | 2016 | 3 | |
| 13 | 1997 | 3 | |
| 14 | 2016 | 1 | |
| 15 | 2016 | 1 |
About Dena Howard
Dena Howard is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Public Health, Environmental and Occupational Health and Statistics and Probability, having authored 15 papers that have together received 177 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (5 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Statistical Methods in Clinical Trials (2 papers), Acute Lymphoblastic Leukemia research (1 paper), Cancer Genomics and Diagnostics (1 paper), Advanced Causal Inference Techniques (1 paper) and Mathematical Biology Tumor Growth (1 paper). The work is most often cited by research in Genetics (103 citations), Pathology and Forensic Medicine (75 citations), Statistics and Probability (31 citations), Hematology (29 citations) and Immunology (43 citations). Dena Howard has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Walter M. Gregory, Julia Brown, Susan Todd, Peter Hillmen, Andy C. Rawstron, Lucy McParland, Talha Munir, Abraham Varghese, Anna Hockaday and David Phillips. Their work appears in journals such as Trials, British Journal of Haematology, Blood, Leukemia and Statistical Methods in Medical Research.
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.