Avital Lev

866 total citations
18 papers, 727 citations indexed

About

Avital Lev is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Avital Lev has authored 18 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 6 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Avital Lev's work include Immunotherapy and Immune Responses (14 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (8 papers). Avital Lev is often cited by papers focused on Immunotherapy and Immune Responses (14 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (8 papers). Avital Lev collaborates with scholars based in Israel, United States and Australia. Avital Lev's co-authors include Yoram Reiter, Galit Denkberg, Cyril J. Cohen, Hennie R. Hoogenboom, Patrick Chames, Pat Caspar, Romina S. Goldszmid, Ira Mellman, Isabelle Coppens and Alan Sher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Avital Lev

18 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Avital Lev Israel 15 513 223 219 162 111 18 727
Ken Snoke United States 7 747 1.5× 137 0.6× 309 1.4× 192 1.2× 105 0.9× 9 949
Stephen Burke United States 9 263 0.5× 195 0.9× 333 1.5× 384 2.4× 63 0.6× 16 869
Alexander Yermanos Switzerland 17 452 0.9× 180 0.8× 376 1.7× 179 1.1× 66 0.6× 35 814
Ignacio Cebrián Argentina 11 549 1.1× 82 0.4× 291 1.3× 27 0.2× 105 0.9× 19 852
Damir Vidović United States 13 612 1.2× 86 0.4× 167 0.8× 162 1.0× 55 0.5× 24 764
Bertram T. Ober United States 12 642 1.3× 96 0.4× 222 1.0× 173 1.1× 113 1.0× 16 921
Liudmila S. Chesnokova United States 15 207 0.4× 310 1.4× 270 1.2× 25 0.2× 374 3.4× 22 922
Peter Trinder Germany 12 298 0.6× 126 0.6× 130 0.6× 32 0.2× 50 0.5× 19 487
Gudrun Andersson Sweden 9 354 0.7× 59 0.3× 112 0.5× 54 0.3× 179 1.6× 11 652
J M Connolly United States 13 627 1.2× 74 0.3× 213 1.0× 122 0.8× 84 0.8× 18 863

Countries citing papers authored by Avital Lev

Since Specialization
Citations

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

Fields of papers citing papers by Avital Lev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avital Lev

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

All Works

18 of 18 papers shown
1.
Knudson, Cory J., et al.. (2021). Viral infection modulates Qa-1b in infected and bystander cells to properly direct NK cell killing. The Journal of Experimental Medicine. 218(5). 12 indexed citations
2.
Wong, Eric B., Ren-Huan Xu, Daniel Rubio, et al.. (2018). Migratory Dendritic Cells, Group 1 Innate Lymphoid Cells, and Inflammatory Monocytes Collaborate to Recruit NK Cells to the Virus-Infected Lymph Node. Cell Reports. 24(1). 142–154. 27 indexed citations
3.
Rubio, Daniel, Avital Lev, Xueying Ma, et al.. (2013). Memory CD8 + T Cells Can Outsource IFN-γ Production but Not Cytolytic Killing for Antiviral Protection. Cell Host & Microbe. 13(5). 546–557. 14 indexed citations
4.
Lev, Avital, Michael F. Princiotta, Damien Zanker, et al.. (2010). Compartmentalized MHC class I antigen processing enhances immunosurveillance by circumventing the law of mass action. Proceedings of the National Academy of Sciences. 107(15). 6964–6969. 48 indexed citations
5.
Goldszmid, Romina S., Isabelle Coppens, Avital Lev, et al.. (2009). Host ER–parasitophorous vacuole interaction provides a route of entry for antigen cross-presentation in Toxoplasma gondii –infected dendritic cells. The Journal of Experimental Medicine. 206(2). 399–410. 124 indexed citations
6.
Lev, Avital, Suman R. Das, Jason C. Maynard, et al.. (2009). Efficient Cross-Priming of Antiviral CD8+ T Cells by Antigen Donor Cells Is GRP94 Independent. The Journal of Immunology. 183(7). 4205–4210. 14 indexed citations
7.
Zohar, Ofer, Yoram Reiter, Jack R. Bennink, et al.. (2008). Cutting Edge: MHC Class I–Ly49 Interaction Regulates Neuronal Function. The Journal of Immunology. 180(10). 6447–6451. 38 indexed citations
8.
Lev, Avital, Kazuyo Takeda, Damien Zanker, et al.. (2008). The Exception that Reinforces the Rule: Crosspriming by Cytosolic Peptides that Escape Degradation. Immunity. 28(6). 787–798. 51 indexed citations
9.
Machlenkin, Arthur, Ronit Rosenfeld, Ilan Volovitz, et al.. (2006). Preventive and therapeutic vaccination with PAP-3, a novel human prostate cancer peptide, inhibits carcinoma development in HLA transgenic mice. Cancer Immunology Immunotherapy. 56(2). 217–226. 16 indexed citations
10.
Lev, Avital, et al.. (2005). Vascular Endothelial Cells Have Impaired Capacity to Present Immunodominant, Antigenic Peptides: A Mechanism of Cell Type-Specific Immune Escape. The Journal of Immunology. 174(4). 1947–1953. 18 indexed citations
11.
12.
Lev, Avital, Roy Noy, Kfir Oved, et al.. (2004). Tumor-specific Ab-mediated targeting of MHC-peptide complexes induces regression of human tumor xenograftsin vivo. Proceedings of the National Academy of Sciences. 101(24). 9051–9056. 36 indexed citations
13.
Biddison, William E., Richard V. Turner, Susan J. Gagnon, et al.. (2003). Tax and M1 Peptide/HLA-A2-Specific Fabs and T Cell Receptors Recognize Nonidentical Structural Features on Peptide/HLA-A2 Complexes. The Journal of Immunology. 171(6). 3064–3074. 34 indexed citations
14.
Denkberg, Galit, Avital Lev, Lea Eisenbach, Itai Benhar, & Yoram Reiter. (2003). Selective Targeting of Melanoma and APCs Using a Recombinant Antibody with TCR-Like Specificity Directed Toward a Melanoma Differentiation Antigen. The Journal of Immunology. 171(5). 2197–2207. 49 indexed citations
15.
16.
Lev, Avital, et al.. (2002). Recruitment of CTL Activity by Tumor-Specific Antibody-Mediated Targeting of Single-Chain Class I MHC-Peptide Complexes. The Journal of Immunology. 169(6). 2988–2996. 16 indexed citations
17.
Lev, Avital, Galit Denkberg, Cyril J. Cohen, et al.. (2002). Isolation and characterization of human recombinant antibodies endowed with the antigen-specific, major histocompatibility complex-restricted specificity of T cells directed toward the widely expressed tumor T-cell epitopes of the telomerase catalytic subunit.. PubMed. 62(11). 3184–94. 88 indexed citations
18.
Denkberg, Galit, Cyril J. Cohen, Avital Lev, et al.. (2002). Direct visualization of distinct T cell epitopes derived from a melanoma tumor-associated antigen by using human recombinant antibodies with MHC- restricted T cell receptor-like specificity. Proceedings of the National Academy of Sciences. 99(14). 9421–9426. 80 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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