Yuval Ebenstein

3.7k total citations
73 papers, 2.7k citations indexed

About

Yuval Ebenstein is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Yuval Ebenstein has authored 73 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 16 papers in Biomedical Engineering and 13 papers in Materials Chemistry. Recurrent topics in Yuval Ebenstein's work include Advanced biosensing and bioanalysis techniques (26 papers), Epigenetics and DNA Methylation (16 papers) and Quantum Dots Synthesis And Properties (13 papers). Yuval Ebenstein is often cited by papers focused on Advanced biosensing and bioanalysis techniques (26 papers), Epigenetics and DNA Methylation (16 papers) and Quantum Dots Synthesis And Properties (13 papers). Yuval Ebenstein collaborates with scholars based in Israel, United States and Germany. Yuval Ebenstein's co-authors include Uri Banin, Taleb Mokari, Miri Kazes, Yael Michaeli, Shimon Weiss, Tslil Gabrieli, Michal Levy‐Sakin, Laurent A. Bentolila, Assaf Grunwald and Tamar Shahal and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Yuval Ebenstein

69 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuval Ebenstein Israel 27 1.4k 962 692 657 259 73 2.7k
Junguang Jiang China 29 1.2k 0.9× 689 0.7× 370 0.5× 319 0.5× 275 1.1× 76 2.5k
Gregory A. Weiss United States 31 2.2k 1.6× 544 0.6× 1.0k 1.5× 614 0.9× 104 0.4× 112 3.6k
An‐An Liu China 26 653 0.5× 679 0.7× 401 0.6× 261 0.4× 128 0.5× 77 1.8k
Jian‐Quan Liu United States 16 2.0k 1.5× 1.6k 1.7× 722 1.0× 437 0.7× 352 1.4× 25 3.4k
Michael Börsch Germany 28 1.8k 1.3× 526 0.5× 413 0.6× 229 0.3× 135 0.5× 75 2.7k
Yuzhen Wang China 29 815 0.6× 1.4k 1.5× 610 0.9× 755 1.1× 67 0.3× 86 2.5k
Joydeep Lahiri United States 19 1.4k 1.0× 404 0.4× 737 1.1× 556 0.8× 199 0.8× 33 2.4k
Michael R. Shortreed United States 31 2.3k 1.7× 717 0.7× 520 0.8× 555 0.8× 30 0.1× 91 4.0k
Chun‐Hao Huang Taiwan 22 992 0.7× 306 0.3× 356 0.5× 736 1.1× 49 0.2× 76 2.6k
Gabriel A. Kwong United States 24 1.7k 1.3× 240 0.2× 1.8k 2.6× 411 0.6× 139 0.5× 49 3.2k

Countries citing papers authored by Yuval Ebenstein

Since Specialization
Citations

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

Fields of papers citing papers by Yuval Ebenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuval Ebenstein

This figure shows the co-authorship network connecting the top 25 collaborators of Yuval Ebenstein. A scholar is included among the top collaborators of Yuval Ebenstein 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 Yuval Ebenstein. Yuval Ebenstein 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
1.
Margalit, Sapir, Assaf Grunwald, Zuzana Tulpová, et al.. (2025). Single-molecule toxicogenomics: Optical genome mapping of DNA-damage in nanochannel arrays. DNA repair. 146. 103808–103808.
2.
Margalit, Sapir, Zuzana Tulpová, Yael Michaeli, et al.. (2025). Long-read structural and epigenetic profiling of a kidney tumor-matched sample with nanopore sequencing and optical genome mapping. NAR Genomics and Bioinformatics. 7(1). lqae190–lqae190.
3.
Hsu, Chloe, et al.. (2024). Effective training of nanopore callers for epigenetic marks with limited labelled data. Open Biology. 14(6). 230449–230449. 1 indexed citations
4.
Froim, Sahar, Keren M. Rabinowitz, Jasline Deek, et al.. (2024). DeepQR: single‐molecule QR codes for optical gene‐expression analysis. Nanophotonics. 14(15). 2549–2561.
5.
Margalit, Sapir, Yael Michaeli, Dmitry Torchinsky, et al.. (2023). Chemo‐Enzymatic Fluorescence Labeling Of Genomic DNA For Simultaneous Detection Of Global 5‐Methylcytosine And 5‐Hydroxymethylcytosine**. ChemBioChem. 24(20). e202300400–e202300400. 7 indexed citations
6.
7.
Ebenstein, Yuval, et al.. (2023). Design of optimal labeling patterns for optical genome mapping via information theory. Bioinformatics. 39(10). 5 indexed citations
8.
Margalit, Sapir, et al.. (2023). DeepOM: single-molecule optical genome mapping via deep learning. Bioinformatics. 39(3). 4 indexed citations
9.
10.
Gabrieli, Tslil, Yael Michaeli, Dmitry Torchinsky, et al.. (2022). Chemoenzymatic labeling of DNA methylation patterns for single-molecule epigenetic mapping. Nucleic Acids Research. 50(16). e92–e92. 16 indexed citations
11.
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
12.
Sharim, Hila, et al.. (2021). From single-molecule to genome-wide mapping of DNA lesions: repair-assisted damage detection sequencing. SHILAP Revista de lepidopterología. 1(2). 100017–100017. 11 indexed citations
13.
Ionescu, Ariel, Yael Michaeli, Dmitry Torchinsky, et al.. (2021). Multimodal single-molecule microscopy with continuously controlled spectral resolution. SHILAP Revista de lepidopterología. 1(1). 100013–100013. 14 indexed citations
14.
Singh, Vandana, Pegah Johansson, Dmitry Torchinsky, et al.. (2020). Quantifying DNA damage induced by ionizing radiation and hyperthermia using single DNA molecule imaging. Translational Oncology. 13(10). 100822–100822. 20 indexed citations
15.
Wu, Shuyi, Assaf Grunwald, Hila Sharim, et al.. (2018). Microfluidic DNA combing for parallel single-molecule analysis. Nanotechnology. 30(4). 45101–45101. 14 indexed citations
16.
Shahal, Tamar, et al.. (2018). Hypersensitive quantification of global 5-hydroxymethylcytosine by chemoenzymatic tagging. Analytica Chimica Acta. 1038. 87–96. 20 indexed citations
17.
Ebenstein, Yuval, et al.. (2018). Broad spectrum detection of DNA damage by Repair Assisted Damage Detection (RADD). DNA repair. 66-67. 42–49. 21 indexed citations
18.
Tabachnik, Tzlil, et al.. (2017). Single-molecule quantification of 5-hydroxymethylcytosine for diagnosis of blood and colon cancers. Clinical Epigenetics. 9(1). 70–70. 42 indexed citations
19.
Levy‐Sakin, Michal & Yuval Ebenstein. (2013). Beyond sequencing: optical mapping of DNA in the age of nanotechnology and nanoscopy. Current Opinion in Biotechnology. 24(4). 690–698. 81 indexed citations
20.
Michaeli, Yael, et al.. (2013). Optical detection of epigenetic marks: sensitive quantification and direct imaging of individual hydroxymethylcytosine bases. Chemical Communications. 49(77). 8599–8599. 54 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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