Tal Zaks
- Molecular Biology top 1%
- Immunology top 1%
- Oncology top 1%
- Infectious Diseases top 1%
- Genetics top 2%
- Co-authors
- Róbert LangerXucheng HouYizhou DongSteven A. RosenbergNicholas P. RestifoMichael WatsonJames D. ThompsonMike Smith
- Topics
- Lung Cancer Treatments and Mutations (12 papers)HER2/EGFR in Cancer Research (11 papers)Immunotherapy and Immune Responses (10 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Tal Zaks
50 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 4.2k
- Immunology 1.9k
- Oncology 1.8k
- Infectious Diseases 1.2k
- Genetics 748
Countries citing papers authored by Tal Zaks
This map shows the geographic impact of Tal Zaks'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 Tal Zaks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Zaks more than expected).
Fields of papers citing papers by Tal Zaks
This network shows the impact of papers produced by Tal Zaks. 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 Tal Zaks. The network helps show where Tal Zaks may publish in the future.
Co-authorship network of co-authors of Tal Zaks
This figure shows the co-authorship network connecting the top 25 collaborators of Tal Zaks. A scholar is included among the top collaborators of Tal Zaks 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 Tal Zaks. Tal Zaks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 118 | |
| 3 | 111 | |
| 4 | mRNA vaccines against H10N8 and H7N9 influenza viruses of pandemic potential are immunogenic and well tolerated in healthy adults in phase 1 randomized clinical trialsbreakdown → | 331 |
| 5 | Preclinical and Clinical Demonstration of Immunogenicity by mRNA Vaccines against H10N8 and H7N9 Influenza Virusesbreakdown → | 493 |
| 6 | 52 | |
| 7 | 282 | |
| 8 | 21 | |
| 9 | 18 | |
| 10 | 152 | |
| 11 | 28 | |
| 12 | 56 | |
| 13 | Biomarker analyses of PLK isoforms in breast cancer | 1 |
| 14 | 165 | |
| 15 | Endogenous oncogenic K-rasG12D stimulates proliferation and widespread neoplastic and developmental defectsbreakdown → | 626 |
| 16 | 88 | |
| 17 | 12 | |
| 18 | 18 | |
| 19 | 269 | |
| 20 | Immunization with a peptide epitope (p369-377) from HER-2/neu leads to peptide-specific cytotoxic T lymphocytes that fail to recognize HER-2/neu+ tumors. | 188 |
About Tal Zaks
Tal Zaks is a scholar working on Oncology, Genetics and Immunology, having authored 51 papers that have together received 6.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (12 papers), HER2/EGFR in Cancer Research (11 papers) and Immunotherapy and Immune Responses (10 papers). The work is most often cited by research in Immunology (1.9k citations), Oncology (1.8k citations) and Infectious Diseases (1.2k citations). Tal Zaks has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Róbert Langer, Xucheng Hou, Yizhou Dong, Steven A. Rosenberg, Nicholas P. Restifo, Michael Watson, James D. Thompson, Mike Smith, Giuseppe Ciaramella and Örn Almarsson. Their work appears in journals such as Journal of Clinical Investigation, Nature Medicine and Journal of Clinical Oncology.
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.