Diana O. Treaba
- Oncology top 10%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Cancer Research
- Pulmonary and Respiratory Medicine
- Co-authors
- Allen M. GownSamuel LeungMaggie C.U. CheangTorsten O. NielsenC. Blake GilksLynn C. GoldsteinDavid G. HuntsmanJames N. Butera
- Topics
- Lymphoma Diagnosis and Treatment (17 papers)CNS Lymphoma Diagnosis and Treatment (10 papers)Chronic Lymphocytic Leukemia Research (7 papers)
- Cited by
- OncologyCancer ResearchGenetics
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesItalyCanada
In The Last Decade
Diana O. Treaba
41 papers receiving 760 citations
Peers
Comparison fields: 5 of 68
- Oncology 394
- Molecular Biology 179
- Pathology and Forensic Medicine 156
- Cancer Research 151
- Pulmonary and Respiratory Medicine 147
Countries citing papers authored by Diana O. Treaba
This map shows the geographic impact of Diana O. Treaba'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 Diana O. Treaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana O. Treaba more than expected).
Fields of papers citing papers by Diana O. Treaba
This network shows the impact of papers produced by Diana O. Treaba. 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 Diana O. Treaba. The network helps show where Diana O. Treaba may publish in the future.
Co-authorship network of co-authors of Diana O. Treaba
This figure shows the co-authorship network connecting the top 25 collaborators of Diana O. Treaba. A scholar is included among the top collaborators of Diana O. Treaba based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diana O. Treaba. Diana O. Treaba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 18 | |
| 7 | Persistent eosinophilia in patients with chronic lymphocytic leukemia/small lymphocytic lymphoma and TP53 deletion is a potential predictor of variant Richter’s transformation | 1 |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 85 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 108 | |
| 17 | 15 | |
| 18 | 13 | |
| 19 | 0 | |
| 20 | 66 |
About Diana O. Treaba
Diana O. Treaba is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 51 papers that have together received 774 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (17 papers), CNS Lymphoma Diagnosis and Treatment (10 papers) and Chronic Lymphocytic Leukemia Research (7 papers). The work is most often cited by research in Oncology (394 citations), Cancer Research (151 citations) and Genetics (93 citations). Diana O. Treaba has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Allen M. Gown, Samuel Leung, Maggie C.U. Cheang, Torsten O. Nielsen, C. Blake Gilks, Lynn C. Goldstein, David G. Huntsman, James N. Butera, Vijaya Reddy and Paolo Gattuso. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.