Idit Sagiv-Barfi
- Immunology top 2%
- Oncology top 2%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Genetics top 5%
- Co-authors
- Ronald LevyDebra K. CzerwinskiHolbrook E. KohrtBetty ChangPatrick P. NgAurélien MarabelleSanjiv S. GambhirAaron T. Mayer
- Topics
- Immunotherapy and Immune Responses (15 papers)Cancer Immunotherapy and Biomarkers (9 papers)Chronic Lymphocytic Leukemia Research (7 papers)
- Cited by
- ImmunologyOncologyGenetics
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Clinical Investigation
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Idit Sagiv-Barfi
29 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Immunology 1.3k
- Oncology 1.1k
- Molecular Biology 371
- Pathology and Forensic Medicine 220
- Genetics 208
Countries citing papers authored by Idit Sagiv-Barfi
This map shows the geographic impact of Idit Sagiv-Barfi'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 Idit Sagiv-Barfi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Idit Sagiv-Barfi more than expected).
Fields of papers citing papers by Idit Sagiv-Barfi
This network shows the impact of papers produced by Idit Sagiv-Barfi. 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 Idit Sagiv-Barfi. The network helps show where Idit Sagiv-Barfi may publish in the future.
Co-authorship network of co-authors of Idit Sagiv-Barfi
This figure shows the co-authorship network connecting the top 25 collaborators of Idit Sagiv-Barfi. A scholar is included among the top collaborators of Idit Sagiv-Barfi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Idit Sagiv-Barfi. Idit Sagiv-Barfi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 19 | |
| 4 | 56 | |
| 5 | 2 | |
| 6 | 107 | |
| 7 | 111 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | Therapeutic antitumor immunity by checkpoint blockade is enhanced by ibrutinib, an inhibitor of both BTK and ITKbreakdown → | 352 |
| 11 | 8 | |
| 12 | 0 | |
| 13 | 22 | |
| 14 | 7 | |
| 15 | 229 | |
| 16 | 279 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 20 | |
| 20 | 11 |
About Idit Sagiv-Barfi
Idit Sagiv-Barfi is a scholar working on Immunology, Space and Planetary Science and Genetics, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (15 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Chronic Lymphocytic Leukemia Research (7 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (1.1k citations) and Genetics (208 citations). Idit Sagiv-Barfi has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Ronald Levy, Debra K. Czerwinski, Holbrook E. Kohrt, Betty Chang, Patrick P. Ng, Aurélien Marabelle, Sanjiv S. Gambhir, Aaron T. Mayer, Israt S. Alam and Shoshana Levy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Clinical Investigation.
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.