Limor Appelbaum
Impact in
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- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 6
- Pancreatic and Hepatic Oncology Research 4
- Cancer Treatment and Pharmacology 1
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- AI in cancer detection 3
- Co-authors
- Amichay Meirovitz (2 shared papers)Michael Elkin (1 shared paper)Gabriel Nussbaum (1 shared paper)Esther Hermano (1 shared paper)Karen Meir (1 shared paper)Tamar Peretz (1 shared paper)Martin Rinard (4 shared papers)Irving Kaplan (5 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)EBioMedicine (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Radiation Oncology (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Limor Appelbaum
8 papers receiving 121 citations
Peers
Comparison fields: 5 of 36
- Health Informatics 7
- Oncology 63
- Health Information Management 8
- Cell Biology 28
- Cancer Research 19
Countries citing papers authored by Limor Appelbaum
This map shows the geographic impact of Limor Appelbaum'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 Limor Appelbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Limor Appelbaum more than expected).
Fields of papers citing papers by Limor Appelbaum
This network shows the impact of papers produced by Limor Appelbaum. 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 Limor Appelbaum. The network helps show where Limor Appelbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Limor Appelbaum, 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 | 2014 | 52 | |
| 2 | 2020 | 35 | |
| 3 | 2023 | 18 | |
| 4 | 2014 | 9 | |
| 5 | 2021 | 4 | |
| 6 | 2018 | 2 | |
| 7 | 2018 | 2 | |
| 8 | [HER2 as a marker for guiding the choice of chemotherapy in breast cancer patients]. | 2010 | 1 |
| 9 | 2020 | 0 |
About Limor Appelbaum
Limor Appelbaum is a scholar working on Oncology, Artificial Intelligence, Health Information Management, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 9 papers that have together received 123 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), AI in cancer detection (3 papers), Prostate Cancer Treatment and Research (2 papers), Artificial Intelligence in Healthcare (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Cancer Treatment and Pharmacology (1 paper), Cancer Genomics and Diagnostics (1 paper) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Health Informatics (7 citations), Oncology (63 citations), Health Information Management (8 citations), Cell Biology (28 citations) and Cancer Research (19 citations). Limor Appelbaum has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Amichay Meirovitz, Michael Elkin, Gabriel Nussbaum, Esther Hermano, Karen Meir, Tamar Peretz, Martin Rinard, Irving Kaplan, Sebastien Haneuse and Harvey J. Mamon. Their work appears in journals such as Journal of Clinical Oncology, EBioMedicine, International Journal of Radiation Oncology*Biology*Physics, JNCI Journal of the National Cancer Institute and Radiation Oncology.
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.