Yariv Wine

2.3k total citations
33 papers, 1.6k citations indexed

About

Yariv Wine is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Yariv Wine has authored 33 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Immunology. Recurrent topics in Yariv Wine's work include Monoclonal and Polyclonal Antibodies Research (16 papers), T-cell and B-cell Immunology (10 papers) and Enzyme Structure and Function (7 papers). Yariv Wine is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (16 papers), T-cell and B-cell Immunology (10 papers) and Enzyme Structure and Function (7 papers). Yariv Wine collaborates with scholars based in Israel, United States and France. Yariv Wine's co-authors include George Georgiou, Brandon J. DeKosky, Jason J. Lavinder, Amihay Freeman, Anna Vaisman‐Mentesh, Felix Frolow, Gregory C. Ippolito, Matías Gutiérrez-González, Andrew D. Ellington and Andrew P. Horton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Yariv Wine

32 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yariv Wine Israel 18 741 606 589 169 147 33 1.6k
Jason J. Lavinder United States 11 657 0.9× 468 0.8× 425 0.7× 82 0.5× 117 0.8× 20 1.1k
Daniel I. R. Spencer United Kingdom 23 1.3k 1.7× 471 0.8× 448 0.8× 74 0.4× 176 1.2× 72 1.9k
Marc C. Deller United States 14 828 1.1× 327 0.5× 328 0.6× 84 0.5× 265 1.8× 18 1.5k
Syed Rizvi Australia 25 656 0.9× 769 1.3× 517 0.9× 445 2.6× 69 0.5× 56 2.1k
Laura J. Peek United States 15 650 0.9× 359 0.6× 478 0.8× 238 1.4× 170 1.2× 30 1.5k
Cheryl Chan Singapore 14 730 1.0× 497 0.8× 437 0.7× 229 1.4× 51 0.3× 21 1.4k
I-Ju Liu Taiwan 12 1.1k 1.6× 841 1.4× 372 0.6× 375 2.2× 273 1.9× 22 2.0k
Ralph Minter United Kingdom 23 1.1k 1.5× 501 0.8× 360 0.6× 181 1.1× 50 0.3× 47 1.7k
Marc Van Regenmortel France 8 797 1.1× 704 1.2× 523 0.9× 308 1.8× 64 0.4× 9 1.6k
Mark A. Schenerman United States 17 977 1.3× 394 0.7× 180 0.3× 120 0.7× 115 0.8× 29 1.6k

Countries citing papers authored by Yariv Wine

Since Specialization
Citations

This map shows the geographic impact of Yariv Wine'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 Yariv Wine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yariv Wine more than expected).

Fields of papers citing papers by Yariv Wine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yariv Wine. 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 Yariv Wine. The network helps show where Yariv Wine may publish in the future.

Co-authorship network of co-authors of Yariv Wine

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

All Works

20 of 20 papers shown
1.
Gunasekaran, Dharanivasan, et al.. (2024). A dual-channel electrochemical biosensor enables concurrent detection of pathogens and antibiotic resistance. Biosensors and Bioelectronics. 257. 116314–116314. 11 indexed citations
2.
Taussig, David, et al.. (2023). Antibody Isolation from Human Synthetic Libraries of Single-Chain Antibodies and Analysis Using NGS. Methods in molecular biology. 2702. 347–372.
3.
Vaisman‐Mentesh, Anna, David Taussig, Yael Dror, et al.. (2022). Longitudinal kinetics of RBD+ antibodies in COVID-19 recovered patients over 14 months. PLoS Pathogens. 18(6). e1010569–e1010569. 5 indexed citations
4.
Munitz, Ariel, Liat Edry‐Botzer, Michal Itan, et al.. (2021). Rapid seroconversion and persistent functional IgG antibodies in severe COVID-19 patients correlates with an IL-12p70 and IL-33 signature. Scientific Reports. 11(1). 3461–3461. 25 indexed citations
5.
Avram, Oren, et al.. (2021). PASA: Proteomic analysis of serum antibodies web server. PLoS Computational Biology. 17(1). e1008607–e1008607. 14 indexed citations
6.
Werbner, Michal, Joel Alter, Yariv Yogev, et al.. (2021). BNT162b2 mRNA vaccine elicited antibody response in blood and milk of breastfeeding women. Nature Communications. 12(1). 6222–6222. 41 indexed citations
7.
Dror, Yael, et al.. (2020). Monoclonal Antibody-Based Biosensor for Point-of-Care Detection of Type III Secretion System Expressing Pathogens. Analytical Chemistry. 93(2). 928–935. 25 indexed citations
8.
Nahmad, Alessio D., Yuval Raviv, Miriam Horovitz‐Fried, et al.. (2020). Engineered B cells expressing an anti-HIV antibody enable memory retention, isotype switching and clonal expansion. Nature Communications. 11(1). 5851–5851. 52 indexed citations
9.
Vaisman‐Mentesh, Anna, Matías Gutiérrez-González, Brandon J. DeKosky, & Yariv Wine. (2020). The Molecular Mechanisms That Underlie the Immune Biology of Anti-drug Antibody Formation Following Treatment With Monoclonal Antibodies. Frontiers in Immunology. 11. 1951–1951. 173 indexed citations
10.
Wine, Yariv, et al.. (2019). Antibody-based nanotechnology. Nanotechnology. 30(28). 282001–282001. 21 indexed citations
11.
Wine, Yariv, Haim Gutman, Alexander Tsivian, et al.. (2019). A distinct subset of FcγRI-expressing Th1 cells exert antibody-mediated cytotoxic activity. Journal of Clinical Investigation. 129(10). 4151–4164. 7 indexed citations
12.
Vaisman‐Mentesh, Anna, Miri Yavzori, Yael Dror, et al.. (2019). Molecular Landscape of Anti-Drug Antibodies Reveals the Mechanism of the Immune Response Following Treatment With TNFα Antagonists. Frontiers in Immunology. 10. 2921–2921. 44 indexed citations
13.
Avram, Oren, et al.. (2018). ASAP - A Webserver for Immunoglobulin-Sequencing Analysis Pipeline. Frontiers in Immunology. 9. 1686–1686. 11 indexed citations
14.
Vaisman‐Mentesh, Anna & Yariv Wine. (2017). Monitoring Phage Biopanning by Next-Generation Sequencing. Methods in molecular biology. 1701. 463–473. 11 indexed citations
15.
Lavinder, Jason J., Kam Hon Hoi, Sai T. Reddy, Yariv Wine, & George Georgiou. (2014). Systematic Characterization and Comparative Analysis of the Rabbit Immunoglobulin Repertoire. PLoS ONE. 9(6). e101322–e101322. 52 indexed citations
16.
DeKosky, Brandon J., Gregory C. Ippolito, Ryan Deschner, et al.. (2013). High-throughput sequencing of the paired human immunoglobulin heavy and light chain repertoire. Nature Biotechnology. 31(2). 166–169. 313 indexed citations
17.
Wine, Yariv, et al.. (2010). Re‐structuring protein crystals porosity for biotemplating by chemical modification of lysine residues. Biotechnology and Bioengineering. 108(1). 1–11. 14 indexed citations
18.
Wine, Yariv, et al.. (2009). Modification of protein crystal packing by systematic mutations of surface residues: Implications on biotemplating and crystal porosity. Biotechnology and Bioengineering. 104(3). 444–457. 12 indexed citations
19.
Wine, Yariv, et al.. (2006). Protein-mediated nanoscale biotemplating. Current Opinion in Biotechnology. 17(6). 569–573. 36 indexed citations
20.
Wine, Yariv, et al.. (2006). Monitoring the stability of crosslinked protein crystals biotemplates: A feasibility study. Biotechnology and Bioengineering. 94(5). 1005–1011. 21 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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