Merav Bar
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Oncology top 5%
- CAR-T cell therapy research
Papers in
- Oncology 23
- CAR-T cell therapy research 17
- Hematology 23
- Acute Myeloid Leukemia Research 11
- Hematopoietic Stem Cell Transplantation 11
- Chronic Myeloid Leukemia Treatments 4
- Co-authors
- David G. Maloney (13 shared papers)Cameron J. Turtle (10 shared papers)Jerald P. Radich (6 shared papers)Jenna Voutsinas (5 shared papers)Alexandre V. Hirayama (5 shared papers)Ana Cordeiro (4 shared papers)Evandro D. Bezerra (4 shared papers)Qian Wu (6 shared papers)
- Journals
- Blood (14 papers)Biology of Blood and Marrow Transplantation (13 papers)Blood Advances (3 papers)Stem Cells (2 papers)Bone Marrow Transplantation (2 papers)
- Partner nations
- United StatesBrazilSouth Africa
In The Last Decade
Merav Bar
47 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Hematology 442
- Oncology 893
- Immunology 361
- Cancer Research 253
- Genetics 128
Countries citing papers authored by Merav Bar
This map shows the geographic impact of Merav Bar'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 Merav Bar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Merav Bar more than expected).
Fields of papers citing papers by Merav Bar
This network shows the impact of papers produced by Merav Bar. 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 Merav Bar. The network helps show where Merav Bar may publish in the future.
Co-authors
The 25 scholars most cited alongside Merav Bar, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 247 | |
| 2 | 2019 | 246 | |
| 3 | 2013 | 242 | |
| 4 | 2009 | 134 | |
| 5 | 2019 | 108 | |
| 6 | 2021 | 85 | |
| 7 | 2007 | 72 | |
| 8 | 2013 | 64 | |
| 9 | 2014 | 62 | |
| 10 | 2019 | 54 | |
| 11 | 2017 | 53 | |
| 12 | 1997 | 42 | |
| 13 | 2014 | 42 | |
| 14 | 2021 | 37 | |
| 15 | 2014 | 35 | |
| 16 | 2018 | 35 | |
| 17 | 2014 | 27 | |
| 18 | 2001 | 25 | |
| 19 | 2018 | 24 | |
| 20 | 2019 | 23 |
About Merav Bar
Merav Bar is a scholar working on Oncology, Hematology, Molecular Biology, Public Health, Environmental and Occupational Health and Genetics, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include CAR-T cell therapy research (17 papers), Acute Myeloid Leukemia Research (11 papers), Hematopoietic Stem Cell Transplantation (11 papers), Acute Lymphoblastic Leukemia research (10 papers), Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (5 papers), Childhood Cancer Survivors' Quality of Life (5 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Hematology (442 citations), Oncology (893 citations), Immunology (361 citations), Cancer Research (253 citations) and Genetics (128 citations). Merav Bar has collaborated with scholars based in United States, Brazil and South Africa. Frequent co-authors include David G. Maloney, Cameron J. Turtle, Jerald P. Radich, Jenna Voutsinas, Alexandre V. Hirayama, Ana Cordeiro, Evandro D. Bezerra, Qian Wu, Joshua A. Hill and Muneesh Tewari. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Blood Advances, Stem Cells and Bone Marrow Transplantation.
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.