Kebede H. Begna
- Genetics top 0.1%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 84
- Chronic Lymphocytic Leukemia Research 17
- Hematology top 0.2%
- Acute Myeloid Leukemia Research 102
- Chronic Myeloid Leukemia Treatments 48
- Multiple Myeloma Research and Treatments 11
- Rheumatology top 1%
- Eosinophilic Disorders and Syndromes 17
- Molecular Biology top 5%
- Kruppel-like factors research 14
- Oncology top 10%
-
- Acute Lymphoblastic Leukemia research 14
- Co-authors
- Ayalew TefferiAnimesh PardananiNaseema GangatCurtis A. HansonTerra L. LashoChristy M. FinkeAref Al‐KaliRakhee Vaidya
- Cited by
- GeneticsHematologyRheumatology
- Journals
- New England Journal of Medicine (1 paper)Journal of Clinical Oncology (7 papers)Blood (49 papers)
- 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
- Rheumatology 934
- Molecular Biology 1.7k
- 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
The 25 scholars most cited alongside Kebede H. Begna, 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 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 8 | |
| 11 | 2020 | 89 | |
| 12 | 2020 | 10 | |
| 13 | 2019 | 2 | |
| 14 | 2019 | 10 | |
| 15 | 2018 | 93 | |
| 16 | 2018 | 179 | |
| 17 | 2018 | 7 | |
| 18 | 2018 | 3 | |
| 19 | 2013 | 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 → | 2010 | 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), Chronic Myeloid Leukemia Treatments (48 papers), Chronic Lymphocytic Leukemia Research (17 papers), Eosinophilic Disorders and Syndromes (17 papers), Kruppel-like factors research (14 papers), Acute Lymphoblastic Leukemia research (14 papers) and Multiple Myeloma Research and Treatments (11 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.