Tuvia Peretz
- Molecular Biology top 10%
- Cell Biology top 1%
- Organic Chemistry top 10%
- Hematology top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Israël VlodavskyHelena AingornIris PeckerYael FriedmannOrit PappoRuth AtzmonMenachem BitanLarissa Spector
- Topics
- Ion channel regulation and function (6 papers)Neuroscience and Neural Engineering (4 papers)Cardiac electrophysiology and arrhythmias (3 papers)
- Partner nations
- IsraelUnited States
In The Last Decade
Tuvia Peretz
11 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Molecular Biology 976
- Cell Biology 885
- Organic Chemistry 155
- Hematology 153
- Cellular and Molecular Neuroscience 129
Countries citing papers authored by Tuvia Peretz
This map shows the geographic impact of Tuvia 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 Tuvia Peretz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuvia Peretz more than expected).
Fields of papers citing papers by Tuvia Peretz
This network shows the impact of papers produced by Tuvia 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 Tuvia Peretz. The network helps show where Tuvia Peretz may publish in the future.
Co-authorship network of co-authors of Tuvia Peretz
This figure shows the co-authorship network connecting the top 25 collaborators of Tuvia Peretz. A scholar is included among the top collaborators of Tuvia 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 Tuvia Peretz. Tuvia 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 | 180 | |
| 2 | Mammalian heparanase: Gene cloning, expression and function in tumor progression and metastasisbreakdown → | 677 |
| 3 | 48 | |
| 4 | 2 | |
| 5 | 63 | |
| 6 | 3 | |
| 7 | 26 | |
| 8 | The involvement of thrombin RGD in metastasis: characterization of a cryptic adhesive site. | 7 |
| 9 | Inhibition of tumor metastasis by heparanase inhibiting species of heparin. | 149 |
| 10 | 78 | |
| 11 | Sub-additive effect of the combination of radiation and cisplatin in cultured murine and human cell lines. | 11 |
About Tuvia Peretz
Tuvia Peretz is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Pharmaceutical Science, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Neuroscience and Neural Engineering (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cell Biology (885 citations), Molecular Biology (976 citations) and Hematology (153 citations). Tuvia Peretz has collaborated with scholars based in Israel and United States. Frequent co-authors include Israël Vlodavsky, Helena Aingorn, Iris Pecker, Yael Friedmann, Orit Pappo, Ruth Atzmon, Menachem Bitan, Larissa Spector, Michael Elkin and Rivka Ishai-Michaeli. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and FEBS Letters.
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.