Oz Solomon

1.5k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Oz Solomon is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Oz Solomon has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Oz Solomon's work include RNA and protein synthesis mechanisms (9 papers), RNA regulation and disease (4 papers) and RNA Research and Splicing (4 papers). Oz Solomon is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), RNA regulation and disease (4 papers) and RNA Research and Splicing (4 papers). Oz Solomon collaborates with scholars based in Israel, United States and Italy. Oz Solomon's co-authors include Eran Eyal, Ninette Amariglio, Gideon Rechavi, Nitzan Kol, Ayelet Di Segni, Eyal Peer, Vera Hershkovitz, Tao Pan, Sigrid Nachtergaele and Louis C. Doré and has published in prestigious journals such as Nature, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Oz Solomon

16 papers receiving 1.1k 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.

The dynamic N1-methyladenosine methylome in eukaryotic messenger RNA

2016 766 citations Dan Dominissini, Sigrid Nachtergaele et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oz Solomon Israel	11	1.0k	419	48	47	42	16	1.1k
Masaki Hosogane Japan	7	753 0.7×	231 0.6×	74 1.5×	37 0.8×	27 0.6×	10	811
Ruitu Lyu United States	11	776 0.8×	289 0.7×	58 1.2×	32 0.7×	76 1.8×	20	812
Mingxu Song China	14	569 0.6×	513 1.2×	98 2.0×	32 0.7×	33 0.8×	24	795
Haijing Wang China	11	317 0.3×	272 0.6×	67 1.4×	51 1.1×	20 0.5×	15	516
David Wiener Israel	3	814 0.8×	408 1.0×	40 0.8×	16 0.3×	73 1.7×	4	847
Philipp Hackert Germany	13	1.4k 1.3×	599 1.4×	75 1.6×	15 0.3×	191 4.5×	16	1.4k
Olga V. Hunter United States	9	1.1k 1.1×	466 1.1×	100 2.1×	62 1.3×	140 3.3×	12	1.2k
Nastasja Kreim Germany	9	1.2k 1.2×	472 1.1×	72 1.5×	36 0.8×	233 5.5×	11	1.3k
Xiwang Zheng China	12	495 0.5×	289 0.7×	95 2.0×	51 1.1×	13 0.3×	23	632
Ali Özeş United States	10	620 0.6×	359 0.9×	148 3.1×	44 0.9×	6 0.1×	16	720

Countries citing papers authored by Oz Solomon

Since Specialization

Citations

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

Fields of papers citing papers by Oz Solomon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oz Solomon

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

All Works

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16 of 16 papers shown

Ferrarotto, Renata, Oz Solomon, Rami Rauch, et al.. (2022). AL101, a gamma-secretase inhibitor, has potent antitumor activity against adenoid cystic carcinoma with activated NOTCH signaling. Cell Death and Disease. 13(8). 678–678. 32 indexed citations

Ferrarotto, Renata, Rami Rauch, Alina Shitrit, et al.. (2021). 1789P The gamma secretase inhibitor AL101 combined with other drugs for dual targeting of Notch dysregulated tumors. Annals of Oncology. 32. S1222–S1222. 4 indexed citations

Cohen, Roni, Oz Solomon, Orna Atar, et al.. (2019). Synthetic 5′ UTRs Can Either Up- or Downregulate Expression upon RNA-Binding Protein Binding. Cell Systems. 9(1). 93–106.e8. 13 indexed citations

Golberg, Alexander, et al.. (2019). Molecular harvesting with electroporation for tissue profiling. Scientific Reports. 9(1). 15750–15750. 12 indexed citations

Rauch, Rami, Oz Solomon, Bill Kramer, et al.. (2019). Abstract 4885: AL101 mediated tumor inhibition in Notch mutated ACC PDX models. Cancer Research. 79(13_Supplement). 4885–4885. 3 indexed citations

Solomon, Oz, Ido Sloma, Rami Rauch, et al.. (2019). AL101 mediated tumor inhibition in notch-altered TNBC PDX models.. Journal of Clinical Oncology. 37(15_suppl). 1064–1064. 16 indexed citations

Cohen, Roni, Oz Solomon, Orna Atar, et al.. (2018). An in Vivo Binding Assay for RNA-Binding Proteins Based on Repression of a Reporter Gene. ACS Synthetic Biology. 7(12). 2765–2774. 14 indexed citations

Vitkin, Edward, et al.. (2018). Genome-wide analysis of fitness data and its application to improve metabolic models. BMC Bioinformatics. 19(1). 368–368. 4 indexed citations

Solomon, Oz, Ayelet Di Segni, Karen Cesarkas, et al.. (2017). RNA editing by ADAR1 leads to context-dependent transcriptome-wide changes in RNA secondary structure. Nature Communications. 8(1). 1440–1440. 77 indexed citations

10.

Lévy, L, Leon Anavy, Oz Solomon, et al.. (2017). A Synthetic Oligo Library and Sequencing Approach Reveals an Insulation Mechanism Encoded within Bacterial σ54 Promoters. Cell Reports. 21(3). 845–858. 15 indexed citations

11.

Solomon, Oz, Vered Kunik, Anthony Simon, et al.. (2016). G23D: Online tool for mapping and visualization of genomic variants on 3D protein structures. BMC Genomics. 17(1). 681–681. 16 indexed citations

12.

Solomon, Oz, Eran Eyal, Ninette Amariglio, Ron Unger, & Gidi Rechavi. (2016). e23D: database and visualization of A-to-I RNA editing sites mapped to 3D protein structures. Bioinformatics. 32(14). 2213–2215. 5 indexed citations

13.

Dominissini, Dan, Sigrid Nachtergaele, Sharon Moshitch-Moshkovitz, et al.. (2016). The dynamic N1-methyladenosine methylome in eukaryotic messenger RNA. Nature. 530(7591). 441–446. 766 indexed citations breakdown →

14.

Solomon, Oz, Lily Bazak, Erez Y. Levanon, et al.. (2014). Characterizing of functional human coding RNA editing from evolutionary, structural, and dynamic perspectives. Proteins Structure Function and Bioinformatics. 82(11). 3117–3131. 15 indexed citations

15.

Solomon, Oz, Shirley Oren, Michal Safran, et al.. (2013). Global regulation of alternative splicing by adenosine deaminase acting on RNA (ADAR). RNA. 19(5). 591–604. 101 indexed citations

16.

Greenberg, Eyal, Gideon Rechavi, Ninette Amariglio, et al.. (2011). Mutagen-Specific Mutation Signature Determines Global microRNA Binding. PLoS ONE. 6(11). e27400–e27400. 7 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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