Habte Yimer
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 24
- Chronic Lymphocytic Leukemia Research 22
- Hematology 21
- Multiple Myeloma Research and Treatments 12
- Chronic Myeloid Leukemia Treatments 7
- Co-authors
- John M. Burke (18 shared papers)Robert M. Rifkin (12 shared papers)Jason M. Melear (13 shared papers)Don A. Stevens (10 shared papers)Yana Lutska (5 shared papers)Thomas S. Lin (5 shared papers)Ming Qi (5 shared papers)Edward A. Faber (5 shared papers)
- Journals
- Blood (17 papers)Journal of Clinical Oncology (14 papers)Hematological Oncology (3 papers)British Journal of Haematology (1 paper)HemaSphere (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Habte Yimer
46 papers receiving 284 citations
Peers
Comparison fields: 5 of 38
- Hematology 129
- Genetics 75
- Oncology 135
- Pathology and Forensic Medicine 74
- Immunology 33
Countries citing papers authored by Habte Yimer
This map shows the geographic impact of Habte Yimer'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 Habte Yimer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Habte Yimer more than expected).
Fields of papers citing papers by Habte Yimer
This network shows the impact of papers produced by Habte Yimer. 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 Habte Yimer. The network helps show where Habte Yimer may publish in the future.
Co-authors
The 25 scholars most cited alongside Habte Yimer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 51 | |
| 2 | 2021 | 28 | |
| 3 | 2018 | 18 | |
| 4 | 2019 | 12 | |
| 5 | 2020 | 11 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2018 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2015 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2025 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2017 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2016 | 5 |
About Habte Yimer
Habte Yimer is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Oncology and Molecular Biology, having authored 49 papers that have together received 286 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (22 papers), Lymphoma Diagnosis and Treatment (15 papers), Multiple Myeloma Research and Treatments (12 papers), CAR-T cell therapy research (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Protein Degradation and Inhibitors (6 papers), Cancer Genomics and Diagnostics (5 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). The work is most often cited by research in Hematology (129 citations), Genetics (75 citations), Oncology (135 citations), Pathology and Forensic Medicine (74 citations) and Immunology (33 citations). Habte Yimer has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include John M. Burke, Robert M. Rifkin, Jason M. Melear, Don A. Stevens, Yana Lutska, Thomas S. Lin, Ming Qi, Edward A. Faber, Keqin Qi and William Bensinger. Their work appears in journals such as Blood, Journal of Clinical Oncology, Hematological Oncology, British Journal of Haematology and HemaSphere.
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.