Dana Vuzman

57 total papers · 2.0k total citations
19 papers, 831 citations indexed

About

Dana Vuzman is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Dana Vuzman has authored 19 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Dana Vuzman's work include Diffusion and Search Dynamics (7 papers), Cancer Genomics and Diagnostics (5 papers) and Bacteriophages and microbial interactions (3 papers). Dana Vuzman is often cited by papers focused on Diffusion and Search Dynamics (7 papers), Cancer Genomics and Diagnostics (5 papers) and Bacteriophages and microbial interactions (3 papers). Dana Vuzman collaborates with scholars based in Israel, United States and Türkiye. Dana Vuzman's co-authors include Yaakov Levy, Ariel Azia, Levani Zandarashvili, Junji Iwahara, Alexandre Esadze, Michal Polonsky, Elena Poverenov, David Milstein, Linda J. W. Shimon and Yael Diskin‐Posner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Dana Vuzman

19 papers receiving 828 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dana Vuzman	697	89	85	76	73	19	831
Tam L. Nguyen	407 0.6×	96 1.1×	37 0.4×	181 2.4×	90 1.2×	25	872
Jefferson S. Plegaria	476 0.7×	40 0.4×	76 0.9×	128 1.7×	162 2.2×	13	804
Marco Di Stefano	725 1.0×	84 0.9×	24 0.3×	77 1.0×	88 1.2×	48	1.1k
Jerzy Olejnik	479 0.7×	45 0.5×	31 0.4×	116 1.5×	50 0.7×	34	833
Aaron Alt	641 0.9×	86 1.0×	46 0.5×	91 1.2×	120 1.6×	12	997
Anthony P. Duff	692 1.0×	80 0.9×	44 0.5×	44 0.6×	132 1.8×	48	958
Anthony Martino	435 0.6×	46 0.5×	43 0.5×	182 2.4×	182 2.5×	19	892
Craig T. Armstrong	568 0.8×	38 0.4×	55 0.6×	66 0.9×	125 1.7×	15	822
Wayne D. Kohn	660 0.9×	58 0.7×	57 0.7×	108 1.4×	179 2.5×	20	955
Arach Goldar	869 1.2×	148 1.7×	23 0.3×	63 0.8×	73 1.0×	39	1.0k

Countries citing papers authored by Dana Vuzman

Since Specialization

Citations

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

Fields of papers citing papers by Dana Vuzman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Vuzman

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

All Works

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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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