Odelia Amit
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Oncology top 10%
- CAR-T cell therapy research
Papers in
- Oncology 22
- CAR-T cell therapy research 12
- Neutropenia and Cancer Infections 4
- Hematology 15
- Acute Myeloid Leukemia Research 10
- Hematopoietic Stem Cell Transplantation 10
- Chronic Myeloid Leukemia Treatments 4
- Co-authors
- Ron Ram (33 shared papers)Irit Avivi (23 shared papers)Yael Bar‐On (19 shared papers)Chava Perry (13 shared papers)Ofir Wolach (9 shared papers)Ofrat Beyar‐Katz (10 shared papers)Ronen Ben‐Ami (7 shared papers)Liat Shargian (12 shared papers)
- Journals
- Annals of Hematology (6 papers)Blood (6 papers)European Journal Of Haematology (4 papers)Transplantation and Cellular Therapy (4 papers)Haematologica (2 papers)
- Partner nations
- IsraelSwitzerlandUnited States
In The Last Decade
Odelia Amit
36 papers receiving 520 citations
Peers
Comparison fields: 5 of 59
- Hematology 167
- Oncology 278
- Infectious Diseases 97
- Pathology and Forensic Medicine 91
- Genetics 44
Countries citing papers authored by Odelia Amit
This map shows the geographic impact of Odelia Amit'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 Odelia Amit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Odelia Amit more than expected).
Fields of papers citing papers by Odelia Amit
This network shows the impact of papers produced by Odelia Amit. 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 Odelia Amit. The network helps show where Odelia Amit may publish in the future.
Co-authors
The 25 scholars most cited alongside Odelia Amit, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 94 | |
| 2 | 2019 | 53 | |
| 3 | 2021 | 45 | |
| 4 | 2021 | 40 | |
| 5 | 2018 | 35 | |
| 6 | 2020 | 27 | |
| 7 | 2016 | 26 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2022 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2022 | 19 | |
| 13 | 2010 | 13 | |
| 14 | 2016 | 12 | |
| 15 | 2015 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2023 | 6 |
About Odelia Amit
Odelia Amit is a scholar working on Oncology, Hematology, Pathology and Forensic Medicine, Immunology and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 525 indexed citations. Recurring topics across this work include CAR-T cell therapy research (12 papers), Acute Myeloid Leukemia Research (10 papers), Hematopoietic Stem Cell Transplantation (10 papers), Acute Lymphoblastic Leukemia research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Neutropenia and Cancer Infections (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Hematology (167 citations), Oncology (278 citations), Infectious Diseases (97 citations), Pathology and Forensic Medicine (91 citations) and Genetics (44 citations). Odelia Amit has collaborated with scholars based in Israel, Switzerland and United States. Frequent co-authors include Ron Ram, Irit Avivi, Yael Bar‐On, Chava Perry, Ofir Wolach, Ofrat Beyar‐Katz, Ronen Ben‐Ami, Liat Shargian, Pia Raanani and Moshe Yeshurun. Their work appears in journals such as Annals of Hematology, Blood, European Journal Of Haematology, Transplantation and Cellular Therapy and Haematologica.
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.