Tamar Peretz
- Molecular Biology top 2%
- Oncology top 1%
- Genetics top 1%
- Cell Biology top 0.5%
- Cancer Research top 1%
- Co-authors
- Israël VlodavskyMichael ElkinEyal ZchariaLea BaiderAlbert GrinshpunAyala HubertTamar HamburgerBenjamin Nisman
- Topics
- BRCA gene mutations in cancer (41 papers)Cancer Genomics and Diagnostics (36 papers)Proteoglycans and glycosaminoglycans research (25 papers)
- Cited by
- Cancer ResearchCell BiologyOncology
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Tamar Peretz
273 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 3.6k
- Oncology 2.6k
- Genetics 1.7k
- Cell Biology 1.6k
- Cancer Research 1.6k
Countries citing papers authored by Tamar Peretz
This map shows the geographic impact of Tamar Peretz'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 Tamar Peretz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamar Peretz more than expected).
Fields of papers citing papers by Tamar Peretz
This network shows the impact of papers produced by Tamar Peretz. 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 Tamar Peretz. The network helps show where Tamar Peretz may publish in the future.
Co-authorship network of co-authors of Tamar Peretz
This figure shows the co-authorship network connecting the top 25 collaborators of Tamar Peretz. A scholar is included among the top collaborators of Tamar Peretz 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 Tamar Peretz. Tamar Peretz 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 | 3 | |
| 3 | 56 | |
| 4 | 14 | |
| 5 | 23 | |
| 6 | 26 | |
| 7 | 60 | |
| 8 | 19 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | Retrospective Study of the Predictive Value of Target Now in Systemic Therapy for Metastatic Colorectal and Gastric Carcinomas. | 1 |
| 12 | The prognostic significance of LIAISON(R) CA15-3 assay in primary breast cancer. | 11 |
| 13 | [Update: adjuvant trastuzumab in HER2 positive breast cancer]. | 1 |
| 14 | 61 | |
| 15 | 62 | |
| 16 | 126 | |
| 17 | [Screening mammography for early diagnosis of breast cancer: facts, controversies, and the implementation in Israel]. | 4 |
| 18 | Regulation of heparanase gene expression by estrogen in breast cancer. | 94 |
| 19 | 1 | |
| 20 | 10 |
About Tamar Peretz
Tamar Peretz is a scholar working on Oncology, Cancer Research and Reproductive Medicine, having authored 278 papers that have together received 8.8k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (41 papers), Cancer Genomics and Diagnostics (36 papers) and Proteoglycans and glycosaminoglycans research (25 papers). The work is most often cited by research in Cancer Research (1.6k citations), Cell Biology (1.6k citations) and Oncology (2.6k citations). Tamar Peretz has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Israël Vlodavsky, Michael Elkin, Eyal Zcharia, Lea Baider, Albert Grinshpun, Ayala Hubert, Tamar Hamburger, Benjamin Nisman, Ruth Atzmon and Luna Kadouri. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.
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.