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
- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
- Genetics 5
- Co-authors
- Yanay Ofran (4 shared papers)Inbal Sela‐Culang (1 shared paper)Bjoern Peters (1 shared paper)Anthony Simon (4 shared papers)Eyal Maori (1 shared paper)Niv Sabath (1 shared paper)Sharoni Shafir (1 shared paper)Osnat Malka (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Protein Engineering Design and Selection (1 paper)Frontiers in Pediatrics (1 paper)BMC Genomics (1 paper)Cell Research (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Vered Kunik
13 papers receiving 803 citations
Peers
Comparison fields: 5 of 91
- Radiology, Nuclear Medicine and Imaging 439
- Immunology 206
- Molecular Biology 565
- Genetics 101
- Virology 17
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 | 368 | |
| 2 | 2012 | 108 | |
| 3 | 2012 | 87 | |
| 4 | 2013 | 73 | |
| 5 | 2019 | 52 | |
| 6 | 2018 | 51 | |
| 7 | 2005 | 17 | |
| 8 | 2016 | 16 | |
| 9 | 2007 | 14 | |
| 10 | 2022 | 10 | |
| 11 | 2020 | 9 | |
| 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 Surgery, having authored 13 papers that have together received 817 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), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), T-cell and B-cell Immunology (2 papers) and Neutropenia and Cancer Infections (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (439 citations), Immunology (206 citations), Molecular Biology (565 citations), Genetics (101 citations) and Virology (17 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, Anthony Simon, Eyal Maori, Niv Sabath, Sharoni Shafir, Osnat Malka, Ilan Sela and Rita Mozes-Koch. Their work appears in journals such as PLoS Computational Biology, Protein Engineering Design and Selection, Frontiers in Pediatrics, BMC Genomics and Cell Research.
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.