Liat Vidal
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Oncology top 2%
- Neutropenia and Cancer Infections
- Viral-associated cancers and disorders
Papers in
- Oncology 28
- Neutropenia and Cancer Infections 12
- Viral-associated cancers and disorders 7
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- Lymphoma Diagnosis and Treatment 23
- Co-authors
- Leonard Leibovici (26 shared papers)Mical Paul (27 shared papers)Anat Gafter‐Gvili (48 shared papers)Hefziba Green (3 shared papers)Ofer Shpilberg (40 shared papers)Abigail Fraser (5 shared papers)Pia Raanani (32 shared papers)Ron Ram (20 shared papers)
- Journals
- Cochrane Database of Systematic Reviews (16 papers)Blood (12 papers)Acta Oncologica (4 papers)PLoS ONE (3 papers)Journal of Antimicrobial Chemotherapy (3 papers)
- Partner nations
- IsraelGermanyUnited Kingdom
In The Last Decade
Liat Vidal
82 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 118
- Hematology 469
- Oncology 940
- Genetics 296
- Pathology and Forensic Medicine 457
- Applied Microbiology and Biotechnology 49
Countries citing papers authored by Liat Vidal
This map shows the geographic impact of Liat Vidal'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 Liat Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liat Vidal more than expected).
Fields of papers citing papers by Liat Vidal
This network shows the impact of papers produced by Liat Vidal. 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 Liat Vidal. The network helps show where Liat Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside Liat Vidal, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 291 | |
| 2 | 2007 | 265 | |
| 3 | 2012 | 242 | |
| 4 | 2009 | 208 | |
| 5 | 2007 | 111 | |
| 6 | 2007 | 110 | |
| 7 | 2012 | 104 | |
| 8 | 2011 | 92 | |
| 9 | 2012 | 83 | |
| 10 | 2009 | 77 | |
| 11 | 2005 | 73 | |
| 12 | 2008 | 71 | |
| 13 | 2008 | 71 | |
| 14 | 2008 | 71 | |
| 15 | 2012 | 70 | |
| 16 | 2005 | 67 | |
| 17 | 2013 | 64 | |
| 18 | 2010 | 53 | |
| 19 | 2015 | 48 | |
| 20 | 2013 | 48 |
About Liat Vidal
Liat Vidal is a scholar working on Oncology, Pathology and Forensic Medicine, Hematology, Genetics and Public Health, Environmental and Occupational Health, having authored 83 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (23 papers), Neutropenia and Cancer Infections (12 papers), Acute Myeloid Leukemia Research (12 papers), Chronic Lymphocytic Leukemia Research (11 papers), Acute Lymphoblastic Leukemia research (8 papers), Viral-associated cancers and disorders (7 papers), Hematopoietic Stem Cell Transplantation (6 papers) and Ovarian cancer diagnosis and treatment (4 papers). The work is most often cited by research in Hematology (469 citations), Oncology (940 citations), Genetics (296 citations), Pathology and Forensic Medicine (457 citations) and Applied Microbiology and Biotechnology (49 citations). Liat Vidal has collaborated with scholars based in Israel, Germany and United Kingdom. Frequent co-authors include Leonard Leibovici, Mical Paul, Anat Gafter‐Gvili, Hefziba Green, Ofer Shpilberg, Abigail Fraser, Pia Raanani, Ron Ram, Anat Stern and Sara Borok. Their work appears in journals such as Cochrane Database of Systematic Reviews, Blood, Acta Oncologica, PLoS ONE and Journal of Antimicrobial Chemotherapy.
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.