Hadassa Waterman
- Molecular Biology top 2%
- Oncology top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Cell Biology top 1%
- Immunology top 10%
- Co-authors
- Yosef YardenGil LevkowitzSara LaviIris AlroyBenjamin GeigerEldad TzaharDevarajan KarunagaranBarry Ratzkin
- Topics
- Cellular transport and secretion (5 papers)HER2/EGFR in Cancer Research (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Hadassa Waterman
10 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 2.7k
- Oncology 1.9k
- Radiology, Nuclear Medicine and Imaging 986
- Cell Biology 827
- Immunology 413
Countries citing papers authored by Hadassa Waterman
This map shows the geographic impact of Hadassa Waterman'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 Hadassa Waterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hadassa Waterman more than expected).
Fields of papers citing papers by Hadassa Waterman
This network shows the impact of papers produced by Hadassa Waterman. 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 Hadassa Waterman. The network helps show where Hadassa Waterman may publish in the future.
Co-authorship network of co-authors of Hadassa Waterman
This figure shows the co-authorship network connecting the top 25 collaborators of Hadassa Waterman. A scholar is included among the top collaborators of Hadassa Waterman 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 Hadassa Waterman. Hadassa Waterman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 229 | |
| 2 | 262 | |
| 3 | 148 | |
| 4 | Tumor-inhibitory antibodies to HER-2/ErbB-2 may act by recruiting c-Cbl and enhancing ubiquitination of HER-2. | 269 |
| 5 | Ubiquitin Ligase Activity and Tyrosine Phosphorylation Underlie Suppression of Growth Factor Signaling by c-Cbl/Sli-1breakdown → | 823 |
| 6 | 256 | |
| 7 | 172 | |
| 8 | c-Cbl/Sli-1 regulates endocytic sorting and ubiquitination of the epidermal growth factor receptorbreakdown → | 714 |
| 9 | 122 | |
| 10 | A Hierarchical Network of Interreceptor Interactions Determines Signal Transduction by Neu Differentiation Factor/Neuregulin and Epidermal Growth Factorbreakdown → | 831 |
About Hadassa Waterman
Hadassa Waterman is a scholar working on Immunology and Allergy, Cell Biology and Oncology, having authored 10 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), HER2/EGFR in Cancer Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Oncology (1.9k citations), Cell Biology (827 citations) and Immunology and Allergy (296 citations). Hadassa Waterman has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Yosef Yarden, Gil Levkowitz, Sara Lavi, Iris Alroy, Benjamin Geiger, Eldad Tzahar, Devarajan Karunagaran, Barry Ratzkin, Menachem Katz and Wallace Y. Langdon. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development and The EMBO Journal.
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.