Elisheva Yonish-Rouach
- Molecular Biology top 5%
- Oncology top 1%
- Biotechnology top 1%
- Cancer Research top 5%
- Immunology top 10%
- Topics
- Cancer-related Molecular Pathways (10 papers)Cancer Research and Treatments (7 papers)Ubiquitin and proteasome pathways (3 papers)
- Cited by
- OncologyBiotechnologyCancer Research
In The Last Decade
Elisheva Yonish-Rouach
20 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.9k
- Oncology 1.7k
- Biotechnology 502
- Cancer Research 417
- Immunology 307
Countries citing papers authored by Elisheva Yonish-Rouach
This map shows the geographic impact of Elisheva Yonish-Rouach'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 Elisheva Yonish-Rouach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisheva Yonish-Rouach more than expected).
Fields of papers citing papers by Elisheva Yonish-Rouach
This network shows the impact of papers produced by Elisheva Yonish-Rouach. 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 Elisheva Yonish-Rouach. The network helps show where Elisheva Yonish-Rouach may publish in the future.
Co-authorship network of co-authors of Elisheva Yonish-Rouach
This figure shows the co-authorship network connecting the top 25 collaborators of Elisheva Yonish-Rouach. A scholar is included among the top collaborators of Elisheva Yonish-Rouach 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 Elisheva Yonish-Rouach. Elisheva Yonish-Rouach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 103 | |
| 2 | 9 | |
| 3 | 34 | |
| 4 | 19 | |
| 5 | A question of life or death: the p53 tumor suppressor gene. | 11 |
| 6 | 57 | |
| 7 | The role of p53 as a transcription factor in the induction of apoptosis. | 8 |
| 8 | Transcriptional activation plays a role in the induction of apoptosis by transiently transfected wild-type p53. | 60 |
| 9 | Induction of apoptosis by transiently transfected metabolically stable wt p53 in transformed cell lines. | 28 |
| 10 | 89 | |
| 11 | 77 | |
| 12 | 43 | |
| 13 | 287 | |
| 14 | 9 | |
| 15 | 5 | |
| 16 | Wild-type p53 induces apoptosis of myeloid leukaemic cells that is inhibited by interleukin-6breakdown → | 1808 |
| 17 | 5 | |
| 18 | Monoclonal anti thymic cell antibodies detecting epidermal cells. | 23 |
| 19 | 2 | |
| 20 | [Monoclonal antibodies (BL7 and BL9) having crossed reactivity with cells of the human epidermis]. | 4 |
About Elisheva Yonish-Rouach
Elisheva Yonish-Rouach is a scholar working on Biotechnology, Transplantation and Oncology, having authored 20 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (10 papers), Cancer Research and Treatments (7 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Oncology (1.7k citations), Biotechnology (502 citations) and Cancer Research (417 citations). Elisheva Yonish-Rouach has collaborated with scholars based in France, Israel and Canada. Frequent co-authors include Moshe Oren, Adi Kimchi, Joseph Lotem, Leo Sachs, Pierre May, Didier Grünwald, Sylvia Wilder, E May, J. J. Lawrence and Naomi Levy-Strumpf. Their work appears in journals such as Nature, Journal of Biological Chemistry and Molecular and Cellular 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.