Ran Elkon

8.5k total citations · 1 hit paper
81 papers, 5.7k citations indexed

About

Ran Elkon is a scholar working on Molecular Biology, Cancer Research and Sensory Systems. According to data from OpenAlex, Ran Elkon has authored 81 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 18 papers in Cancer Research and 11 papers in Sensory Systems. Recurrent topics in Ran Elkon's work include RNA Research and Splicing (23 papers), RNA modifications and cancer (19 papers) and Genomics and Chromatin Dynamics (16 papers). Ran Elkon is often cited by papers focused on RNA Research and Splicing (23 papers), RNA modifications and cancer (19 papers) and Genomics and Chromatin Dynamics (16 papers). Ran Elkon collaborates with scholars based in Israel, Netherlands and United States. Ran Elkon's co-authors include Reuven Agami, Alejandro P. Ugalde, Ron Shamir, Yosef Shiloh, Joachim A.F. Oude Vrielink, Chaim Linhart, Roded Sharan, Jarno Drost, Fabricio Loayza‐Puch and Ruiqi Han and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ran Elkon

81 papers receiving 5.7k citations

Hit Papers

Alternative cleavage and polyadenylation: extent, regulat... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ran Elkon Israel 39 4.9k 1.3k 583 346 320 81 5.7k
Anthony P. Orth United States 27 3.8k 0.8× 955 0.7× 531 0.9× 537 1.6× 563 1.8× 49 5.1k
Yuanxin Xi United States 28 4.2k 0.9× 712 0.5× 466 0.8× 565 1.6× 270 0.8× 43 5.5k
Irina Khrebtukova United States 20 6.0k 1.2× 1.6k 1.2× 433 0.7× 548 1.6× 465 1.5× 31 6.9k
John Easton United States 32 2.3k 0.5× 678 0.5× 675 1.2× 295 0.9× 413 1.3× 84 3.5k
Nuno L. Barbosa‐Morais Portugal 36 4.1k 0.8× 1.7k 1.2× 474 0.8× 663 1.9× 563 1.8× 58 5.5k
Vân Anh Huynh‐Thu Belgium 14 3.7k 0.8× 745 0.6× 587 1.0× 288 0.8× 1.2k 3.9× 26 5.2k
Bogdan Tanasă United States 20 3.7k 0.8× 1.3k 0.9× 320 0.5× 510 1.5× 948 3.0× 41 5.8k
Joseph Foster United States 23 2.0k 0.4× 285 0.2× 402 0.7× 361 1.0× 309 1.0× 41 3.5k
Hideya Kawaji Japan 40 4.2k 0.9× 1.3k 1.0× 421 0.7× 499 1.4× 927 2.9× 126 5.7k
Cátálin Bárbácioru United States 19 3.7k 0.8× 1.1k 0.9× 622 1.1× 382 1.1× 589 1.8× 34 4.9k

Countries citing papers authored by Ran Elkon

Since Specialization
Citations

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

Fields of papers citing papers by Ran Elkon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Elkon

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

All Works

20 of 20 papers shown
2.
Elkon, Ran, et al.. (2023). Transcriptional profiling of the response to starvation and fattening reveals differential regulation of autophagy genes in mammals. Proceedings of the Royal Society B Biological Sciences. 290(1995). 20230407–20230407. 7 indexed citations
3.
Markovits, Ettai, Erez N. Baruch, Eldad D. Shulman, et al.. (2023). MYC Induces Immunotherapy and IFNγ Resistance Through Downregulation of JAK2. Cancer Immunology Research. 11(7). 909–924. 8 indexed citations
4.
Elkon, Ran, et al.. (2023). Shared and organ-specific gene-expression programs during the development of the cochlea and the superior olivary complex. RNA Biology. 20(1). 629–640. 1 indexed citations
5.
Elkon, Ran, et al.. (2022). The DOMINO web-server for active module identification analysis. Bioinformatics. 38(8). 2364–2366. 5 indexed citations
6.
Elkon, Ran, et al.. (2022). CT-FOCS: a novel method for inferring cell type-specific enhancer–promoter maps. Nucleic Acids Research. 50(10). e55–e55. 2 indexed citations
7.
Margalit, Sapir, Hila Sharim, Surajit Bhattacharya, et al.. (2021). Long reads capture simultaneous enhancer–promoter methylation status for cell-type deconvolution. Bioinformatics. 37(Supplement_1). i327–i333. 8 indexed citations
8.
Taiber, Shahar, Likhitha Kolla, Ran Elkon, et al.. (2020). Identification and characterization of key long non-coding RNAs in the mouse cochlea. RNA Biology. 18(8). 1160–1169. 7 indexed citations
9.
Matern, Maggie S., Béatrice Milon, Yoko Ogawa, et al.. (2020). GFI1 functions to repress neuronal gene expression in the developing inner ear hair cells. Development. 147(17). 36 indexed citations
10.
Cohen‐Tayar, Yamit, Hadar Cohen, Carmit Levy, et al.. (2018). Pax6 regulation of Sox9 in the mouse retinal pigmented epithelium controls its timely differentiation and choroid vasculature development. Development. 145(15). 17 indexed citations
11.
Amar, David, et al.. (2018). FOCS: a novel method for analyzing enhancer and gene activity patterns infers an extensive enhancer–promoter map. Genome biology. 19(1). 56–56. 47 indexed citations
12.
Elkon, Ran, Rosario Prados‐Carvajal, Georgina D. Barnabas, et al.. (2017). Nuclear poly(A)-binding protein 1 is an ATM target and essential for DNA double-strand break repair. Nucleic Acids Research. 46(2). 730–747. 18 indexed citations
13.
Loayza‐Puch, Fabricio, Jarno Drost, Koos Rooijers, et al.. (2013). p53 induces transcriptional and translational programs to suppress cell proliferation and growth. Genome biology. 14(4). R32–R32. 94 indexed citations
14.
Elkon, Ran, Alejandro P. Ugalde, & Reuven Agami. (2013). Alternative cleavage and polyadenylation: extent, regulation and function. Nature Reviews Genetics. 14(7). 496–506. 583 indexed citations breakdown →
15.
Morris, Adam R., Begoña Diosdado, Koos Rooijers, et al.. (2012). Alternative Cleavage and Polyadenylation during Colorectal Cancer Development. Clinical Cancer Research. 18(19). 5256–5266. 94 indexed citations
16.
Ulitsky, Igor, Adi Maron‐Katz, S. Shavit, et al.. (2010). Expander: from expression microarrays to networks and functions. Nature Protocols. 5(2). 303–322. 150 indexed citations
17.
Blum, Roy, Ran Elkon, Adi Zundelevich, et al.. (2007). Gene Expression Signature of Human Cancer Cell Lines Treated with the Ras Inhibitor Salirasib ( S -Farnesylthiosalicylic Acid). Cancer Research. 67(7). 3320–3328. 40 indexed citations
18.
Brenner, Ori, Ninette Amariglio, Nechama I. Smorodinsky, et al.. (2005). Impaired genomic stability and increased oxidative stress exacerbate different features of Ataxia-telangiectasia. Human Molecular Genetics. 14(19). 2929–2943. 23 indexed citations
19.
Linhart, Chaim, Ran Elkon, Yosef Shiloh, & Ron Shamir. (2005). Deciphering Transcriptional Regulatory Elements That Encode Specific Cell-Cycle Phasing by Comparative Genomics Analysis. Cell Cycle. 4(12). 1788–1797. 39 indexed citations
20.
Elkon, Ran, Chaim Linhart, Roded Sharan, Ron Shamir, & Yosef Shiloh. (2003). Genome-Wide In Silico Identification of Transcriptional Regulators Controlling the Cell Cycle in Human Cells. Genome Research. 13(5). 773–780. 250 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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