Arie Zauberman

752 total citations
9 papers, 560 citations indexed

About

Arie Zauberman is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Arie Zauberman has authored 9 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Oncology. Recurrent topics in Arie Zauberman's work include Hepatitis B Virus Studies (4 papers), Cancer-related Molecular Pathways (3 papers) and Hepatitis C virus research (3 papers). Arie Zauberman is often cited by papers focused on Hepatitis B Virus Studies (4 papers), Cancer-related Molecular Pathways (3 papers) and Hepatitis C virus research (3 papers). Arie Zauberman collaborates with scholars based in Israel, Australia and Sweden. Arie Zauberman's co-authors include Moshe Oren, Ygal Haupt, Deborah A. Flusberg, Yaacov Barak, Doron Ginsberg, Eitan Shaulian, Shlomo Dagan, Ofer Nussbaum, Rachel Eren and Ehud Ilan and has published in prestigious journals such as Nucleic Acids Research, Molecular and Cellular Biology and Hepatology.

In The Last Decade

Arie Zauberman

9 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arie Zauberman Israel	9	314	295	172	149	73	9	560
Hélène Mouly France	8	223 0.7×	164 0.6×	187 1.1×	114 0.8×	15 0.2×	14	475
Ken Kuramoto United States	14	309 1.0×	122 0.4×	134 0.8×	122 0.8×	12 0.2×	30	626
Jennifer MacGregor United States	6	472 1.5×	383 1.3×	62 0.4×	21 0.1×	36 0.5×	8	676
Thomas L. Haulk United States	7	210 0.7×	248 0.8×	62 0.4×	63 0.4×	75 1.0×	7	469
Andressa Ardiani United States	16	269 0.9×	447 1.5×	45 0.3×	40 0.3×	104 1.4×	19	819
Philip R. Tempest United Kingdom	12	363 1.2×	93 0.3×	64 0.4×	65 0.4×	32 0.4×	18	560
Yanan Gao China	9	199 0.6×	165 0.6×	77 0.4×	80 0.5×	12 0.2×	11	505
Takemi Sakamoto Japan	10	185 0.6×	89 0.3×	95 0.6×	56 0.4×	84 1.2×	14	367
Christopher Alder United Kingdom	7	298 0.9×	257 0.9×	52 0.3×	52 0.3×	16 0.2×	13	655
Giovanni Nitti United States	7	296 0.9×	267 0.9×	66 0.4×	49 0.3×	20 0.3×	9	603

Countries citing papers authored by Arie Zauberman

Since Specialization

Citations

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

Fields of papers citing papers by Arie Zauberman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arie Zauberman

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

All Works

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9 of 9 papers shown

Helman, Daniel, et al.. (2013). Novel membrane‐bound reporter molecule for sorting high producer cells by flow cytometry. Cytometry Part A. 85(2). 162–168. 10 indexed citations

Ketzinel‐Gilad, Mali, Arie Zauberman, Ofer Nussbaum, et al.. (2006). The use of the hydrodynamic HBV animal model to study HBV biology and anti-viral therapy. Hepatology Research. 34(4). 228–237. 15 indexed citations

Galun, Eithan, Norah A. Terrault, Rachel Eren, et al.. (2006). Clinical evaluation (Phase I) of a human monoclonal antibody against hepatitis C virus: Safety and antiviral activity. Journal of Hepatology. 46(1). 37–44. 30 indexed citations

Ilan, Ehud, Rachel Eren, Ido Lubin, et al.. (2002). The Trimera mouse: a system for generating human monoclonal antibodies and modeling human diseases.. PubMed. 4(2). 102–9. 9 indexed citations

Ilan, Ehud, Ofer Nussbaum, Arie Zauberman, et al.. (2002). The Hepatitis C Virus (HCV)–Trimera Mouse: A Model for Evaluation of Agents against HCV. The Journal of Infectious Diseases. 185(2). 153–161. 69 indexed citations

Eren, Rachel, Ehud Ilan, Ofer Nussbaum, et al.. (2000). Preclinical Evaluation of Two Human Anti-Hepatitis B Virus (HBV) Monoclonal Antibodies in the HBV-Trimera Mouse Model and in HBV Chronic Carrier Chimpanzees. Hepatology. 32(3). 588–596. 66 indexed citations

Zauberman, Arie, et al.. (1998). Individual promoter and intron p53‐binding motifs from the rat Cyclin G1 promoter region support transcriptional activation by p53 but do not show co‐operative activation. FEBS Letters. 430(3). 171–175. 13 indexed citations

Zauberman, Arie, Deborah A. Flusberg, Ygal Haupt, Yaacov Barak, & Moshe Oren. (1995). A functional p53-responsive intronic promoter is contained within the humanmdm2gene. Nucleic Acids Research. 23(14). 2584–2592. 243 indexed citations

Shaulian, Eitan, Arie Zauberman, Doron Ginsberg, & Moshe Oren. (1992). Identification of a Minimal Transforming Domain of p53: Negative Dominance through Abrogation of Sequence-Specific DNA Binding. Molecular and Cellular Biology. 12(12). 5581–5592. 105 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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