Evgeni Chubar
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
- Blood groups and transfusion
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- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 13
- Multiple Myeloma Research and Treatments 8
- Chronic Myeloid Leukemia Treatments 3
- Blood groups and transfusion 2
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- Protein Degradation and Inhibitors 4
- Amyloidosis: Diagnosis, Treatment, Outcomes 2
- Ubiquitin and proteasome pathways 1
- Co-authors
- Yaël C. Cohen (7 shared papers)Noa Lavi (8 shared papers)Irit Avivi (7 shared papers)Hila Magen (6 shared papers)Moshe E. Gatt (7 shared papers)Tamar Tadmor (5 shared papers)Pia Raanani (2 shared papers)Ory Rouvio (4 shared papers)
- Journals
- Blood (5 papers)European Journal Of Haematology (2 papers)Frontiers in Oncology (1 paper)HemaSphere (1 paper)Leukemia Research (1 paper)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Evgeni Chubar
13 papers receiving 132 citations
Peers
Comparison fields: 5 of 26
- Hematology 93
- Genetics 35
- Oncology 31
- Physiology 25
- Molecular Biology 57
Countries citing papers authored by Evgeni Chubar
This map shows the geographic impact of Evgeni Chubar'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 Evgeni Chubar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evgeni Chubar more than expected).
Fields of papers citing papers by Evgeni Chubar
This network shows the impact of papers produced by Evgeni Chubar. 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 Evgeni Chubar. The network helps show where Evgeni Chubar may publish in the future.
Co-authors
The 25 scholars most cited alongside Evgeni Chubar, 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 | 2015 | 33 | |
| 2 | 2018 | 27 | |
| 3 | 2018 | 17 | |
| 4 | 2020 | 14 | |
| 5 | 2015 | 11 | |
| 6 | 2015 | 8 | |
| 7 | 2021 | 8 | |
| 8 | 2024 | 5 | |
| 9 | 2019 | 5 | |
| 10 | 2017 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2018 | 1 | |
| 13 | 2014 | 1 | |
| 14 | Successful treatment of pure red cell aplasia secondary to chronic lymphocytic leukemia using cyclosporine A. | 2014 | 1 |
| 15 | 2022 | 0 |
About Evgeni Chubar
Evgeni Chubar is a scholar working on Hematology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 15 papers that have together received 134 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Protein Degradation and Inhibitors (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cancer Mechanisms and Therapy (2 papers), Blood groups and transfusion (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Hematology (93 citations), Genetics (35 citations), Oncology (31 citations), Physiology (25 citations) and Molecular Biology (57 citations). Evgeni Chubar has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Yaël C. Cohen, Noa Lavi, Irit Avivi, Hila Magen, Moshe E. Gatt, Tamar Tadmor, Pia Raanani, Ory Rouvio, Eli Muchtar and Chezi Ganzel. Their work appears in journals such as Blood, European Journal Of Haematology, Frontiers in Oncology, HemaSphere and Leukemia Research.
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.