Vered Kunik
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
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- Glycosylation and Glycoproteins Research 3
- Protein Structure and Dynamics 3
- Epigenetics and DNA Methylation 1
- Genetics 6
- Genomics and Rare Diseases 2
- Genetics and Neurodevelopmental Disorders 1
- Digestive system and related health 1
- Co-authors
- Yanay Ofran (4 shared papers)Inbal Sela‐Culang (1 shared paper)Bjoern Peters (1 shared paper)Niv Sabath (1 shared paper)Eyal Maori (1 shared paper)Sharoni Shafir (1 shared paper)Ilan Sela (1 shared paper)Amos J. Simon (4 shared papers)
- Journals
- PLoS Computational Biology (2 papers)Cell Research (1 paper)Cell Reports (1 paper)Protein Engineering Design and Selection (1 paper)Genes and Immunity (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Vered Kunik
13 papers receiving 816 citations
Peers
Comparison fields: 5 of 90
- Radiology, Nuclear Medicine and Imaging 415
- Immunology 191
- Molecular Biology 539
- Genetics 101
- Virology 16
Countries citing papers authored by Vered Kunik
This map shows the geographic impact of Vered Kunik'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 Vered Kunik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vered Kunik more than expected).
Fields of papers citing papers by Vered Kunik
This network shows the impact of papers produced by Vered Kunik. 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 Vered Kunik. The network helps show where Vered Kunik may publish in the future.
Co-authors
The 25 scholars most cited alongside Vered Kunik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 376 | |
| 2 | 2012 | 109 | |
| 3 | 2012 | 87 | |
| 4 | 2013 | 73 | |
| 5 | 2019 | 53 | |
| 6 | 2018 | 52 | |
| 7 | 2005 | 17 | |
| 8 | 2016 | 16 | |
| 9 | 2007 | 14 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2016 | 9 | |
| 13 | 2020 | 3 |
About Vered Kunik
Vered Kunik is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Immunology and Hematology, having authored 13 papers that have together received 830 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Protein Structure and Dynamics (3 papers), Genomics and Rare Diseases (2 papers), T-cell and B-cell Immunology (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Epigenetics and DNA Methylation (1 paper) and Digestive system and related health (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (415 citations), Immunology (191 citations), Molecular Biology (539 citations), Genetics (101 citations) and Virology (16 citations). Vered Kunik has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Yanay Ofran, Inbal Sela‐Culang, Bjoern Peters, Niv Sabath, Eyal Maori, Sharoni Shafir, Ilan Sela, Amos J. Simon, Haim Kalev and Osnat Malka. Their work appears in journals such as PLoS Computational Biology, Cell Research, Cell Reports, Protein Engineering Design and Selection and Genes and Immunity.
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.