Rivka Ishai-Michaeli
- Cell Biology top 0.5%
- Molecular Biology top 5%
- Hematology top 2%
- Cancer Research top 5%
- Organic Chemistry top 5%
- Co-authors
- Israël VlodavskyMichael ElkinIris PeckerYael FriedmannAmiram EldorRuth AtzmonZvi FuksHelena Aingorn
- Topics
- Proteoglycans and glycosaminoglycans research (21 papers)Fibroblast Growth Factor Research (12 papers)Glycosylation and Glycoproteins Research (6 papers)
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Rivka Ishai-Michaeli
23 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cell Biology 2.0k
- Molecular Biology 2.0k
- Hematology 433
- Cancer Research 387
- Organic Chemistry 355
Countries citing papers authored by Rivka Ishai-Michaeli
This map shows the geographic impact of Rivka Ishai-Michaeli'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 Rivka Ishai-Michaeli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rivka Ishai-Michaeli more than expected).
Fields of papers citing papers by Rivka Ishai-Michaeli
This network shows the impact of papers produced by Rivka Ishai-Michaeli. 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 Rivka Ishai-Michaeli. The network helps show where Rivka Ishai-Michaeli may publish in the future.
Co-authorship network of co-authors of Rivka Ishai-Michaeli
This figure shows the co-authorship network connecting the top 25 collaborators of Rivka Ishai-Michaeli. A scholar is included among the top collaborators of Rivka Ishai-Michaeli 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 Rivka Ishai-Michaeli. Rivka Ishai-Michaeli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 163 | |
| 2 | 39 | |
| 3 | 190 | |
| 4 | Mammalian heparanase as mediator of tumor metastasis and angiogenesis. | 42 |
| 5 | Mammalian heparanase: Gene cloning, expression and function in tumor progression and metastasisbreakdown → | 677 |
| 6 | 41 | |
| 7 | 151 | |
| 8 | 23 | |
| 9 | 48 | |
| 10 | 53 | |
| 11 | 64 | |
| 12 | 78 | |
| 13 | Expression of heparanase by platelets and circulating cells of the immune system: possible involvement in diapedesis and extravasation. | 263 |
| 14 | 37 | |
| 15 | 1 | |
| 16 | 204 | |
| 17 | 180 | |
| 18 | 191 | |
| 19 | 66 | |
| 20 | 12 |
About Rivka Ishai-Michaeli
Rivka Ishai-Michaeli is a scholar working on Cell Biology, Immunology and Allergy and Hepatology, having authored 23 papers that have together received 2.9k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (21 papers), Fibroblast Growth Factor Research (12 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Cell Biology (2.0k citations), Immunology and Allergy (299 citations) and Hematology (433 citations). Rivka Ishai-Michaeli has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Israël Vlodavsky, Michael Elkin, Iris Pecker, Yael Friedmann, Amiram Eldor, Ruth Atzmon, Zvi Fuks, Helena Aingorn, Orit Pappo and Yaacov Matzner. Their work appears in journals such as Journal of Biological Chemistry, Circulation 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.