Junia V. Melo
Impact in
- Hematology top 0.05%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 0.05%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 94
- Chronic Myeloid Leukemia Treatments 89
- Acute Myeloid Leukemia Research 13
- Genetics 84
- Chronic Lymphocytic Leukemia Research 77
- Myeloproliferative Neoplasms: Diagnosis and Treatment 8
- Co-authors
- John M. GoldmanMichael W. DeiningerDavid BarnesBeate SchultheisDaniel CatovskyDavid A. G. GaltonJane F. ApperleyNicholas Lydon
- Journals
- Blood (37 papers)British Journal of Haematology (13 papers)Hematology (5 papers)Clinical Cancer Research (4 papers)Seminars in Hematology (4 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Junia V. Melo
117 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Hematology 7.3k
- Genetics 5.6k
- Rheumatology 3.2k
- Oncology 1.8k
- Pathology and Forensic Medicine 1.1k
Countries citing papers authored by Junia V. Melo
This map shows the geographic impact of Junia V. Melo'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 Junia V. Melo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junia V. Melo more than expected).
Fields of papers citing papers by Junia V. Melo
This network shows the impact of papers produced by Junia V. Melo. 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 Junia V. Melo. The network helps show where Junia V. Melo may publish in the future.
Co-authors
The 25 scholars most cited alongside Junia V. Melo, 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 | 0 | |
| 2 | 2011 | 15 | |
| 3 | 2009 | 55 | |
| 4 | 2009 | 16 | |
| 5 | 2007 | 103 | |
| 6 | 2007 | 16 | |
| 7 | 2007 | 434 | |
| 8 | 2006 | 23 | |
| 9 | 2006 | 97 | |
| 10 | 2004 | 37 | |
| 11 | 2004 | 5 | |
| 12 | 2003 | 4 | |
| 13 | 2002 | 67 | |
| 14 | 2002 | 70 | |
| 15 | 2001 | 42 | |
| 16 | 2000 | 4 | |
| 17 | 2000 | 18 | |
| 18 | 2000 | 5 | |
| 19 | 1997 | 99 | |
| 20 | 1996 | 6 |
About Junia V. Melo
Junia V. Melo is a scholar working on Hematology, Genetics, Rheumatology, Pathology and Forensic Medicine and Immunology, having authored 119 papers that have together received 10.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (89 papers), Chronic Lymphocytic Leukemia Research (77 papers), Eosinophilic Disorders and Syndromes (46 papers), Lymphoma Diagnosis and Treatment (18 papers), Acute Myeloid Leukemia Research (13 papers), Acute Lymphoblastic Leukemia research (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers) and HER2/EGFR in Cancer Research (6 papers). The work is most often cited by research in Hematology (7.3k citations), Genetics (5.6k citations), Rheumatology (3.2k citations), Oncology (1.8k citations) and Pathology and Forensic Medicine (1.1k citations). Junia V. Melo has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include John M. Goldman, Michael W. Deininger, David Barnes, Beate Schultheis, Daniel Catovsky, David A. G. Galton, Jane F. Apperley, Nicholas Lydon, Timothy P. Hughes and François Xavier Mahon. Their work appears in journals such as Blood, British Journal of Haematology, Hematology, Clinical Cancer Research and Seminars in Hematology.
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.