Melita Kenealy
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 16
- Acute Myeloid Leukemia Research 14
- Multiple Myeloma Research and Treatments 5
- Hematopoietic Stem Cell Transplantation 3
- Chronic Myeloid Leukemia Treatments 2
- Genetics 8
- Chronic Lymphocytic Leukemia Research 6
- Co-authors
- H. Miles Prince (7 shared papers)David Westerman (2 shared papers)Constantine S. Tam (2 shared papers)M Wolf (2 shared papers)John F. Seymour (10 shared papers)J.F. Seymour (5 shared papers)Neil Came (1 shared paper)Dennis Carney (1 shared paper)
- Journals
- Leukemia Research (4 papers)Blood (4 papers)European Journal Of Haematology (1 paper)Leukemia (1 paper)Haematologica (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Melita Kenealy
20 papers receiving 263 citations
Peers
Comparison fields: 5 of 42
- Hematology 132
- Genetics 109
- Pathology and Forensic Medicine 77
- Oncology 69
- Immunology 35
Countries citing papers authored by Melita Kenealy
This map shows the geographic impact of Melita Kenealy'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 Melita Kenealy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melita Kenealy more than expected).
Fields of papers citing papers by Melita Kenealy
This network shows the impact of papers produced by Melita Kenealy. 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 Melita Kenealy. The network helps show where Melita Kenealy may publish in the future.
Co-authors
The 25 scholars most cited alongside Melita Kenealy, 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 | 2010 | 68 | |
| 2 | Treatment-related myelodysplasia following fludarabine combination chemotherapy. | 2006 | 52 |
| 3 | 2007 | 27 | |
| 4 | 2019 | 25 | |
| 5 | 2006 | 18 | |
| 6 | 2018 | 13 | |
| 7 | 2019 | 13 | |
| 8 | 2016 | 13 | |
| 9 | 2023 | 10 | |
| 10 | 2012 | 9 | |
| 11 | 2015 | 5 | |
| 12 | 2014 | 4 | |
| 13 | 2023 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2009 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2007 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2005 | 1 |
About Melita Kenealy
Melita Kenealy is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Infectious Diseases, having authored 20 papers that have together received 269 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Chronic Lymphocytic Leukemia Research (6 papers), Multiple Myeloma Research and Treatments (5 papers), Protein Degradation and Inhibitors (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Hematology (132 citations), Genetics (109 citations), Pathology and Forensic Medicine (77 citations), Oncology (69 citations) and Immunology (35 citations). Melita Kenealy has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include H. Miles Prince, David Westerman, Constantine S. Tam, M Wolf, John F. Seymour, J.F. Seymour, Neil Came, Dennis Carney, E. Januszewicz and A. Milner. Their work appears in journals such as Leukemia Research, Blood, European Journal Of Haematology, Leukemia and Haematologica.
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.