Diana Libster
Impact in
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
Papers in
- Oncology 9
- Viral-associated cancers and disorders 4
- COVID-19 and healthcare impacts 2
-
- Lymphoma Diagnosis and Treatment 8
- Co-authors
- Nael Da’as (4 shared papers)Dina Ben Yehuda (5 shared papers)Neta Goldschmidt (6 shared papers)Moshe E. Gatt (6 shared papers)David Lavie (6 shared papers)Sigal Grisariu (4 shared papers)Irit Avivi (4 shared papers)Rachel Bar‐Shalom (3 shared papers)
- Journals
- European Journal Of Haematology (4 papers)Blood (3 papers)American Journal of Hematology (2 papers)Journal of the American Academy of Dermatology (1 paper)Cancer Chemotherapy and Pharmacology (1 paper)
- Partner nations
- Israel
In The Last Decade
Diana Libster
16 papers receiving 300 citations
Peers
Comparison fields: 5 of 40
- Pathology and Forensic Medicine 188
- Hematology 78
- Genetics 70
- Oncology 115
- Neurology 58
Countries citing papers authored by Diana Libster
This map shows the geographic impact of Diana Libster'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 Diana Libster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Libster more than expected).
Fields of papers citing papers by Diana Libster
This network shows the impact of papers produced by Diana Libster. 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 Diana Libster. The network helps show where Diana Libster may publish in the future.
Co-authors
The 25 scholars most cited alongside Diana Libster, 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 | 2006 | 81 | |
| 2 | 2018 | 61 | |
| 3 | 2014 | 28 | |
| 4 | 2006 | 26 | |
| 5 | 2011 | 25 | |
| 6 | 2002 | 25 | |
| 7 | 2016 | 16 | |
| 8 | 2002 | 14 | |
| 9 | 2002 | 9 | |
| 10 | 2023 | 4 | |
| 11 | 2005 | 4 | |
| 12 | 2009 | 3 | |
| 13 | 2007 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2021 | 1 |
About Diana Libster
Diana Libster is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Pulmonary and Respiratory Medicine and Hematology, having authored 16 papers that have together received 301 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Viral-associated cancers and disorders (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), COVID-19 Clinical Research Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), COVID-19 and healthcare impacts (2 papers), Multiple Myeloma Research and Treatments (2 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (188 citations), Hematology (78 citations), Genetics (70 citations), Oncology (115 citations) and Neurology (58 citations). Diana Libster has collaborated with scholars based in Israel. Frequent co-authors include Nael Da’as, Dina Ben Yehuda, Neta Goldschmidt, Moshe E. Gatt, David Lavie, Sigal Grisariu, Irit Avivi, Rachel Bar‐Shalom, Eldad J. Dann and Menachem Ben‐Shachar. Their work appears in journals such as European Journal Of Haematology, Blood, American Journal of Hematology, Journal of the American Academy of Dermatology and Cancer Chemotherapy and Pharmacology.
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.