Eitan Rubin

2.7k total citations
58 papers, 1.4k citations indexed

About

Eitan Rubin is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Eitan Rubin has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Eitan Rubin's work include Cancer Genomics and Diagnostics (9 papers), Bioinformatics and Genomic Networks (8 papers) and Gene expression and cancer classification (7 papers). Eitan Rubin is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Bioinformatics and Genomic Networks (8 papers) and Gene expression and cancer classification (7 papers). Eitan Rubin collaborates with scholars based in Israel, United States and Canada. Eitan Rubin's co-authors include Avraham A. Levy, Hadas Ner‐Gaon, Robert Fluhr, Nophar Geifman, Ron Ophir, Sigal Savaldi‐Goldstein, Lithwick Gila, Raphael Cohen, Dan Mishmar and Noam Leviatan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Eitan Rubin

53 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eitan Rubin Israel	19	860	380	134	112	102	58	1.4k
Huaqin Pan United States	20	745 0.9×	465 1.2×	57 0.4×	131 1.2×	87 0.9×	36	1.4k
Xiaoyan Zhang China	20	819 1.0×	334 0.9×	292 2.2×	67 0.6×	145 1.4×	75	1.6k
Wenhao Zhang China	22	780 0.9×	234 0.6×	102 0.8×	48 0.4×	84 0.8×	59	1.4k
Jie Lan China	25	987 1.1×	356 0.9×	252 1.9×	180 1.6×	141 1.4×	91	1.8k
Hui Zhou China	26	2.5k 2.9×	283 0.7×	123 0.9×	190 1.7×	168 1.6×	73	3.1k
Xutong Wang China	24	1.3k 1.5×	933 2.5×	150 1.1×	204 1.8×	164 1.6×	75	2.4k
M. Takayama Japan	18	1.1k 1.2×	879 2.3×	70 0.5×	119 1.1×	55 0.5×	40	1.8k
Carlos Alberto Vanegas Prieto Spain	20	865 1.0×	92 0.2×	116 0.9×	106 0.9×	66 0.6×	48	1.4k
Tamás Fischer Germany	21	2.3k 2.7×	277 0.7×	123 0.9×	160 1.4×	130 1.3×	49	2.8k

Countries citing papers authored by Eitan Rubin

Since Specialization

Citations

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

Fields of papers citing papers by Eitan Rubin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eitan Rubin

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

All Works

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20 of 20 papers shown

Landau, Ofer, Catherine Bresson, Fanny Wunder, et al.. (2025). OncoAID: an open access targeted anti-cancer drugs database. Frontiers in Pharmacology. 16. 1588191–1588191.

Rubin, Eitan, et al.. (2024). Machine-learning-based risk assessment tool to rule out empirical use of ESBL-targeted therapy in endemic areas. Journal of Hospital Infection. 149. 90–97. 3 indexed citations

Janssen, Sanne, et al.. (2023). BORIS / CTCFL ‐mediated chromatin accessibility alterations promote a pro‐invasive transcriptional signature in melanoma cells. Pigment Cell & Melanoma Research. 36(3-4). 299–313. 3 indexed citations

Miyashita, Hirotaka, Razelle Kurzrock, Suzanna Lee, et al.. (2023). T-cell priming transcriptomic markers: implications of immunome heterogeneity for precision immunotherapy. npj Genomic Medicine. 8(1). 19–19. 15 indexed citations

Gesundheit, Benjamin, Avraham Steinberg, Gerald M. Friedman, et al.. (2023). Autism spectrum disorder diagnosis using a new panel of immune- and inflammatory-related serum biomarkers: A case-control multicenter study. Frontiers in Pediatrics. 11. 967954–967954. 4 indexed citations

Danilenko, Michael, et al.. (2022). Projection of Expression Profiles to Transcription Factor Activity Space Provides Added Information. Genes. 13(10). 1819–1819.

Mizrahi, Barak, Maytal Bivas‐Benita, Nir Kalkstein, et al.. (2021). Results of an early second PCR test performed on SARS-CoV-2 positive patients may support risk assessment for severe COVID-19. Scientific Reports. 11(1). 20463–20463.

Toren, Dmitri, Eitan Rubin, Anna V. Kudryavtseva, et al.. (2020). Gray whale transcriptome reveals longevity adaptations associated with DNA repair and ubiquitination. Aging Cell. 19(7). e13158–e13158. 29 indexed citations

Rubin, Eitan, et al.. (2020). High levels of LINE-1 transposable elements expressed in Kaposi’s sarcoma-associated herpesvirus-related primary effusion lymphoma. Oncogene. 40(3). 536–550. 2 indexed citations

10.

Rubin, Eitan, et al.. (2019). PICOT binding to chromatin-associated EED negatively regulates cyclin D2 expression by increasing H3K27me3 at the CCND2 gene promoter. Cell Death and Disease. 10(10). 685–685. 8 indexed citations

11.

Last, Mark, et al.. (2017). PCM-SABRE: a platform for benchmarking and comparing outcome prediction methods in precision cancer medicine. BMC Bioinformatics. 18(1). 40–40. 8 indexed citations

12.

Shimon, Hady, et al.. (2013). Suicidal Thoughts Are Associated with Platelet Counts in Adolescent Inpatients. Journal of Child and Adolescent Psychopharmacology. 23(1). 49–53. 9 indexed citations

13.

Geifman, Nophar & Eitan Rubin. (2011). Towards an Age-Phenome Knowledge-base. BMC Bioinformatics. 12(1). 229–229. 13 indexed citations

14.

Cohen, Raphael, et al.. (2011). CHILD: a new tool for detecting low-abundance insertions and deletions in standard sequence traces. Nucleic Acids Research. 39(7). e47–e47. 12 indexed citations

15.

Mishmar, Dan, et al.. (2011). MitoBamAnnotator: A web-based tool for detecting and annotating heteroplasmy in human mitochondrial DNA sequences. Mitochondrion. 11(6). 924–928. 25 indexed citations

16.

Rubin, Eitan, et al.. (2008). Reverse translational bioinformatics: a bioinformatics assay of age, gender and clinical biomarkers.. PubMed Central. 7 indexed citations

17.

Broderick, Gordon & Eitan Rubin. (2006). The Realistic Modeling of Biological Systems: A Workshop Synopsis. NSUWorks (Nova Southeastern University). 3(4). 217–230. 10 indexed citations

18.

Rubin, Eitan, Lithwick Gila, & Avraham A. Levy. (2001). Structure and Evolution of the hAT Transposon Superfamily. Genetics. 158(3). 949–957. 132 indexed citations

19.

Rubin, Eitan & Avraham A. Levy. (1997). Abortive Gap Repair: Underlying Mechanism for Ds element Formation. Molecular and Cellular Biology. 17(11). 6294–6302. 97 indexed citations

20.

Levy, Avraham A., Marcelo Fridlender, Uri Hanania, Eitan Rubin, & Yaron Sitrit. (1996). Binding ofNicotiana nuclear proteins to the subterminal regions of theAc transposable element. Molecular and General Genetics MGG. 251(4). 436–441. 9 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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