Kebede H. Begna
- Genetics top 0.1%
- Hematology top 0.2%
- Molecular Biology top 5%
- Rheumatology top 1%
- Oncology top 10%
- Co-authors
- Ayalew TefferiAnimesh PardananiNaseema GangatCurtis A. HansonTerra L. LashoChristy M. FinkeAref Al‐KaliRakhee Vaidya
- Topics
- Acute Myeloid Leukemia Research (102 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (84 papers)Chronic Myeloid Leukemia Treatments (48 papers)
- Cited by
- GeneticsHematologyRheumatology
- Partner nations
- United StatesItalyCanada
In The Last Decade
Kebede H. Begna
139 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Genetics 2.8k
- Hematology 2.6k
- Molecular Biology 1.7k
- Rheumatology 934
- Oncology 256
Countries citing papers authored by Kebede H. Begna
This map shows the geographic impact of Kebede H. Begna'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 Kebede H. Begna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kebede H. Begna more than expected).
Fields of papers citing papers by Kebede H. Begna
This network shows the impact of papers produced by Kebede H. Begna. 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 Kebede H. Begna. The network helps show where Kebede H. Begna may publish in the future.
Co-authorship network of co-authors of Kebede H. Begna
This figure shows the co-authorship network connecting the top 25 collaborators of Kebede H. Begna. A scholar is included among the top collaborators of Kebede H. Begna 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 Kebede H. Begna. Kebede H. Begna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 89 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 93 | |
| 16 | 179 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 24 | |
| 20 | DIPSS Plus: A Refined Dynamic International Prognostic Scoring System for Primary Myelofibrosis That Incorporates Prognostic Information From Karyotype, Platelet Count, and Transfusion Statusbreakdown → | 657 |
About Kebede H. Begna
Kebede H. Begna is a scholar working on Hematology, Genetics and Rheumatology, having authored 147 papers that have together received 3.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (102 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (84 papers) and Chronic Myeloid Leukemia Treatments (48 papers). The work is most often cited by research in Genetics (2.8k citations), Hematology (2.6k citations) and Rheumatology (934 citations). Kebede H. Begna has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Ayalew Tefferi, Animesh Pardanani, Naseema Gangat, Curtis A. Hanson, Terra L. Lasho, Christy M. Finke, Aref Al‐Kali, Rakhee Vaidya, Mark R. Litzow and Mrinal M. Patnaik. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology 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.