Vered Kunik

1.1k total citations
13 papers, 817 citations indexed

About

Vered Kunik is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vered Kunik has authored 13 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vered Kunik's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Protein Structure and Dynamics (3 papers). Vered Kunik is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Protein Structure and Dynamics (3 papers). Vered Kunik collaborates with scholars based in Israel, United States and Australia. Vered Kunik's co-authors include Yanay Ofran, Inbal Sela‐Culang, Bjoern Peters, Eyal Maori, Haim Kalev, Sharoni Shafir, Osnat Malka, Ilan Sela, Anthony Simon and Niv Sabath and has published in prestigious journals such as Nucleic Acids Research, Frontiers in Immunology and Cell Reports.

In The Last Decade

Vered Kunik

13 papers receiving 803 citations

Peers

Vered Kunik
Cory L. Brooks United States
Scott Hunicke‐Smith United States
Günes Bozkurt United States
Lu Deng United States
William P. Sisk United States
Cory L. Brooks United States
Vered Kunik
Citations per year, relative to Vered Kunik Vered Kunik (= 1×) peers Cory L. Brooks

Countries citing papers authored by Vered Kunik

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Vered Kunik

This figure shows the co-authorship network connecting the top 25 collaborators of Vered Kunik. A scholar is included among the top collaborators of Vered Kunik 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 Vered Kunik. Vered Kunik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Eliyahu, Aviva, Ortal Barel, Lior Greenbaum, et al.. (2022). Refining the Phenotypic Spectrum of KMT5B-Associated Developmental Delay. Frontiers in Pediatrics. 10. 844845–844845. 10 indexed citations
2.
Goldberg, Lior, Anthony Simon, Atar Lev, et al.. (2020). Atypical immune phenotype in severe combined immunodeficiency patients with novel mutations in IL2RG and JAK3. Genes and Immunity. 21(5). 326–334. 3 indexed citations
3.
Goldberg, Lior, Anthony Simon, Gideon Rechavi, et al.. (2020). Congenital neutropenia with variable clinical presentation in novel mutation of the SRP54 gene. Pediatric Blood & Cancer. 67(6). e28237–e28237. 9 indexed citations
4.
Maori, Eyal, Vered Kunik, Rita Mozes-Koch, et al.. (2019). A Transmissible RNA Pathway in Honey Bees. Cell Reports. 27(7). 1949–1959.e6. 52 indexed citations
5.
Jacob‐Hirsch, Jasmine, Eran Eyal, Binyamin A. Knisbacher, et al.. (2018). Whole-genome sequencing reveals principles of brain retrotransposition in neurodevelopmental disorders. Cell Research. 28(2). 187–203. 51 indexed citations
6.
Solomon, Oz, Vered Kunik, Anthony Simon, et al.. (2016). G23D: Online tool for mapping and visualization of genomic variants on 3D protein structures. BMC Genomics. 17(1). 681–681. 16 indexed citations
7.
Haberman, Yael, Ayelet Di Segni, Ortal Barel, et al.. (2016). Congenital Sucrase‐isomaltase Deficiency. Journal of Pediatric Gastroenterology and Nutrition. 64(5). 770–776. 9 indexed citations
8.
Kunik, Vered & Yanay Ofran. (2013). The indistinguishability of epitopes from protein surface is explained by the distinct binding preferences of each of the six antigen-binding loops. Protein Engineering Design and Selection. 26(10). 599–609. 73 indexed citations
9.
Sela‐Culang, Inbal, Vered Kunik, & Yanay Ofran. (2013). The Structural Basis of Antibody-Antigen Recognition. Frontiers in Immunology. 4. 302–302. 368 indexed citations
10.
Kunik, Vered, et al.. (2012). Paratome: an online tool for systematic identification of antigen-binding regions in antibodies based on sequence or structure. Nucleic Acids Research. 40(W1). W521–W524. 108 indexed citations
11.
Kunik, Vered, Bjoern Peters, & Yanay Ofran. (2012). Structural Consensus among Antibodies Defines the Antigen Binding Site. PLoS Computational Biology. 8(2). e1002388–e1002388. 87 indexed citations
12.
Kunik, Vered, et al.. (2007). Functional Representation of Enzymes by Specific Peptides. PLoS Computational Biology. 3(8). e167–e167. 14 indexed citations
13.
Kunik, Vered, Zach Solan, Shimon Edelman, Eytan Ruppin, & D. Horn. (2005). Motif extraction and protein classification. PubMed. 15. 80–85. 17 indexed citations

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.

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