Z. Mishal
- Molecular Biology
- Immunology top 10%
- Oncology
- Cancer Research
- Hematology top 10%
- Co-authors
- C. RosenfeldClaudine SoriaElisheva Yonish-RouachCécile Rochette‐EglyMarco CastagnaThomas TurszJ. SoriaNaomi Wakasugi
- Topics
- Lipid Membrane Structure and Behavior (6 papers)Erythrocyte Function and Pathophysiology (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- FranceSwitzerlandIsrael
In The Last Decade
Z. Mishal
32 papers receiving 866 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 487
- Immunology 238
- Oncology 157
- Cancer Research 102
- Hematology 101
Countries citing papers authored by Z. Mishal
This map shows the geographic impact of Z. Mishal'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 Z. Mishal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Mishal more than expected).
Fields of papers citing papers by Z. Mishal
This network shows the impact of papers produced by Z. Mishal. 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 Z. Mishal. The network helps show where Z. Mishal may publish in the future.
Co-authorship network of co-authors of Z. Mishal
This figure shows the co-authorship network connecting the top 25 collaborators of Z. Mishal. A scholar is included among the top collaborators of Z. Mishal 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 Z. Mishal. Z. Mishal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 87 | |
| 2 | 15 | |
| 3 | 61 | |
| 4 | 26 | |
| 5 | 10 | |
| 6 | 14 | |
| 7 | Induction of apoptosis by transiently transfected metabolically stable wt p53 in transformed cell lines. | 28 |
| 8 | 6 | |
| 9 | 66 | |
| 10 | 6 | |
| 11 | 26 | |
| 12 | 32 | |
| 13 | Characterization of intestinal membrane vesicles with flow cytometry. | 2 |
| 14 | 26 | |
| 15 | 92 | |
| 16 | 48 | |
| 17 | Changes in biophysical parameters and in phospholipid composition associated with resistance to doxorubicin. | 21 |
| 18 | Rapid modifications of biophysical and biochemical parameters of red blood cell membrane from insulin dependent diabetics after insulin administration. | 9 |
| 19 | 3 | |
| 20 | 59 |
About Z. Mishal
Z. Mishal is a scholar working on Immunology, Hematology and Molecular Biology, having authored 32 papers that have together received 922 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Erythrocyte Function and Pathophysiology (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Immunology (238 citations), Hematology (101 citations) and Molecular Biology (487 citations). Z. Mishal has collaborated with scholars based in France, Switzerland and Israel. Frequent co-authors include C. Rosenfeld, Claudine Soria, Elisheva Yonish-Rouach, Cécile Rochette‐Egly, Marco Castagna, Thomas Tursz, J. Soria, Naomi Wakasugi, P. Mirshahi and Julia Varet. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.