Ronit Pinkas‐Kramarski
- Molecular Biology top 2%
- Oncology top 2%
- Epidemiology top 2%
- Cellular and Molecular Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Shlomit ErlichYosef YardenEsther ShohamiEran SchmuklerIris AlroyBarry RatzkinYona GoldshmitAlexander Alexandrovich
- Topics
- HER2/EGFR in Cancer Research (27 papers)Autophagy in Disease and Therapy (20 papers)Monoclonal and Polyclonal Antibodies Research (15 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Ronit Pinkas‐Kramarski
69 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 2.9k
- Oncology 1.6k
- Epidemiology 1.3k
- Cellular and Molecular Neuroscience 907
- Radiology, Nuclear Medicine and Imaging 866
Countries citing papers authored by Ronit Pinkas‐Kramarski
This map shows the geographic impact of Ronit Pinkas‐Kramarski'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 Ronit Pinkas‐Kramarski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronit Pinkas‐Kramarski more than expected).
Fields of papers citing papers by Ronit Pinkas‐Kramarski
This network shows the impact of papers produced by Ronit Pinkas‐Kramarski. 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 Ronit Pinkas‐Kramarski. The network helps show where Ronit Pinkas‐Kramarski may publish in the future.
Co-authorship network of co-authors of Ronit Pinkas‐Kramarski
This figure shows the co-authorship network connecting the top 25 collaborators of Ronit Pinkas‐Kramarski. A scholar is included among the top collaborators of Ronit Pinkas‐Kramarski 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 Ronit Pinkas‐Kramarski. Ronit Pinkas‐Kramarski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 87 | |
| 3 | 31 | |
| 4 | 26 | |
| 5 | 29 | |
| 6 | 92 | |
| 7 | 32 | |
| 8 | 108 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 14 | |
| 12 | 289 | |
| 13 | 76 | |
| 14 | 42 | |
| 15 | 82 | |
| 16 | 75 | |
| 17 | 113 | |
| 18 | 94 | |
| 19 | Diversification of Neu differentiation factor and epidermal growth factor signaling by combinatorial receptor interactions.breakdown → | 645 |
| 20 | 23 |
About Ronit Pinkas‐Kramarski
Ronit Pinkas‐Kramarski is a scholar working on Physiology, Developmental Neuroscience and Oncology, having authored 69 papers that have together received 5.5k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (27 papers), Autophagy in Disease and Therapy (20 papers) and Monoclonal and Polyclonal Antibodies Research (15 papers). The work is most often cited by research in Oncology (1.6k citations), Neurology (470 citations) and Developmental Neuroscience (208 citations). Ronit Pinkas‐Kramarski has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Shlomit Erlich, Yosef Yarden, Esther Shohami, Eran Schmukler, Iris Alroy, Barry Ratzkin, Yona Goldshmit, Alexander Alexandrovich, Sara Lavi and Reuven Stein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.