Eyal Mozes

1.2k total citations · 1 hit paper
6 papers, 506 citations indexed

About

Eyal Mozes is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Eyal Mozes has authored 6 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Pharmacology. Recurrent topics in Eyal Mozes's work include Cancer Genomics and Diagnostics (3 papers), Genomics and Phylogenetic Studies (3 papers) and Bioinformatics and Genomic Networks (2 papers). Eyal Mozes is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Genomics and Phylogenetic Studies (3 papers) and Bioinformatics and Genomic Networks (2 papers). Eyal Mozes collaborates with scholars based in United States. Eyal Mozes's co-authors include Dana Pe’er, Uri David Akavia, Félix Sanchez-Garcia, Panisa Pochanard, Jessica Kim, Dylan Kotliar, Oren Litvin, Helen C. Causton, Levi A. Garraway and Terence D. Murphy and has published in prestigious journals such as Cell, Cancer Research and PLoS Biology.

In The Last Decade

Eyal Mozes

5 papers receiving 500 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rapid and sensitive detection of genome contamination at scale with FCS-GX

2024 104 citations Eric S. Tvedte, Deacon Sweeney et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eyal Mozes United States	4	404	158	82	45	37	6	506
Eva Alloza Spain	6	510 1.3×	78 0.5×	104 1.3×	70 1.6×	30 0.8×	9	681
Fuhong He China	14	571 1.4×	82 0.5×	88 1.1×	45 1.0×	23 0.6×	24	734
Stephen T. Guest United States	11	408 1.0×	74 0.5×	66 0.8×	19 0.4×	36 1.0×	16	558
Dheeraj Shinde Switzerland	10	247 0.6×	78 0.5×	99 1.2×	47 1.0×	23 0.6×	15	385
Dilafruz Juraeva Germany	12	351 0.9×	213 1.3×	55 0.7×	47 1.0×	69 1.9×	24	687
Ramyar Molania Australia	9	285 0.7×	125 0.8×	82 1.0×	41 0.9×	51 1.4×	16	460
Vivek Jayaswal Australia	15	550 1.4×	265 1.7×	197 2.4×	34 0.8×	11 0.3×	27	733
Paolo D’Onorio De Meo Italy	13	617 1.5×	228 1.4×	141 1.7×	29 0.6×	25 0.7×	21	787
Nikolaos Ignatiadis United States	6	298 0.7×	90 0.6×	79 1.0×	18 0.4×	40 1.1×	11	560
Enrique M. Muro Germany	13	537 1.3×	124 0.8×	69 0.8×	49 1.1×	12 0.3×	24	666

Countries citing papers authored by Eyal Mozes

Since Specialization

Citations

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

Fields of papers citing papers by Eyal Mozes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eyal Mozes

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Oh, Dong‐Ha, Barbara Robbertse, Nuala A. O’Leary, et al.. (2025). NCBI Orthologs: Public Resource and Scalable Method for Computing High-Precision Orthologs Across Eukaryotic Genomes. Journal of Molecular Evolution. 93(6). 843–859.

2.

Tvedte, Eric S., Deacon Sweeney, Victor Sapojnikov, et al.. (2024). Rapid and sensitive detection of genome contamination at scale with FCS-GX. Genome biology. 25(1). 60–60. 104 indexed citations breakdown →

3.

Rangwala, Sanjida H, Dong‐Ha Oh, Nathan Bouk, et al.. (2024). The NCBI Comparative Genome Viewer (CGV) is an interactive visualization tool for the analysis of whole-genome eukaryotic alignments. PLoS Biology. 22(5). e3002405–e3002405. 4 indexed citations

4.

Akavia, Uri David, Oren Litvin, Jessica Kim, et al.. (2010). An Integrated Approach to Uncover Drivers of Cancer. Cell. 143(6). 1005–1017. 360 indexed citations

5.

Sanchez-Garcia, Félix, Uri David Akavia, Eyal Mozes, & Dana Pe’er. (2010). JISTIC: Identification of Significant Targets in Cancer. BMC Bioinformatics. 11(1). 189–189. 36 indexed citations

6.

Litvin, Oren, Jessica Kim, Eyal Mozes, et al.. (2009). Abstract B70: Conexic: A Bayesian framework to detect drivers and their function uncovers an endosomal signature in melanoma. Cancer Research. 69(23_Supplement). B70–B70. 2 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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