Yaron Orenstein

1.5k citations

48 papers · 830 · h-index 16

Impact in

Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- CRISPR and Genetic Engineering
Cancer Research

Papers in

Molecular Biology 45
- RNA and protein synthesis mechanisms 27
- Genomics and Chromatin Dynamics 16
- RNA Research and Splicing 14
- Advanced biosensing and bioanalysis techniques 11
- RNA modifications and cancer 10
- Genomics and Phylogenetic Studies 7
- CRISPR and Genetic Engineering 7
- DNA and Nucleic Acid Chemistry 7
Artificial Intelligence 6

Co-authors: Ron Shamir (14 shared papers)Bonnie Berger (5 shared papers)Benny Chor (1 shared paper)Yuhao Wang (1 shared paper)David Pellow (3 shared papers)Carl Kingsford (2 shared papers)Guillaume Marçais (2 shared papers)Arttu Jolma (1 shared paper)
Journals: Bioinformatics (10 papers)Nucleic Acids Research (4 papers)Briefings in Bioinformatics (3 papers)iScience (2 papers)Journal of Computational Biology (2 papers)
Partner nations: Israel United States France

In The Last Decade

Yaron Orenstein

45 papers receiving 820 citations

Peers

Countries citing papers authored by Yaron Orenstein

Since Specialization

Citations

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

Fields of papers citing papers by Yaron Orenstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yaron Orenstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yaron Orenstein Line = papers co-authored together Yaron Orenstein links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Transcription factor family‐specific DNA shape readout revealed by quantitative specificity models Molecular Systems Biology ·Lin Yang, Yaron Orenstein, Arttu Jolma, Yimeng Yin, Jussi Taipale, Ron Shamir, Remo Rohs	2017	86
2	A comparative analysis of transcription factor binding models learned from PBM, HT-SELEX and ChIP data Nucleic Acids Research ·Yaron Orenstein, Ron Shamir	2014	76
3	A deep neural network approach for learning intrinsic protein-RNA binding preferences Bioinformatics ·Ilan Ben-Bassat, Benny Chor, Yaron Orenstein	2018	65
4	RCK: accurate and efficient inference of sequence- and structure-based protein–RNA binding models from RNAcompete data Bioinformatics ·Yaron Orenstein, Yuhao Wang, Bonnie Berger	2016	62
5	ElemeNT: a computational tool for detecting core promoter elements Transcription ·Anna Sloutskin, Yehuda M. Danino, Yaron Orenstein, Yonathan Zehavi, Tirza Doniger, Ron Shamir, Tamar Juven‐Gershon	2015	52
6	Comprehensive, high-resolution binding energy landscapes reveal context dependencies of transcription factor binding Proceedings of the National Academy of Sciences ·Daniel D. Le, Tyler C. Shimko, Arjun K. Aditham, Allison M. Keys, Scott A. Longwell, Yaron Orenstein, Polly M. Fordyce	2018	51
7	Improving the performance of minimizers and winnowing schemes Bioinformatics ·Guillaume Marçais, David Pellow, Daniel Bork, Yaron Orenstein, Ron Shamir, Carl Kingsford	2017	43
8	Custom DNA Microarrays Reveal Diverse Binding Preferences of Proteins and Small Molecules to Thousands of G-Quadruplexes ACS Chemical Biology ·Sreejana Ray, Desiree Tillo, Robert E. Boer, Nima Assad, Mira Barshai, Guanhui Wu, Yaron Orenstein, Danzhou Yang, John S. Schneekloth, Charles Vinson	2020	41
9	Drosophila TRF2 is a preferential core promoter regulator Genes & Development ·Adi Kedmi, Yonathan Zehavi, Yaïr Glick, Yaron Orenstein, Diana Ideses, Chaim Wachtel, Tirza Doniger, Hiba Waldman Ben‐Asher, Nemone Muster, James Thompson, Scott Anderson, Dorit Avrahami, John R. Yates, Ron Shamir, Doron Gerber, Tamar Juven‐Gershon	2014	40
10	Designing small universal k-mer hitting sets for improved analysis of high-throughput sequencing PLoS Computational Biology ·Yaron Orenstein, David Pellow, Guillaume Marçais, Ron Shamir, Carl Kingsford	2017	29
11	rG4detector, a novel RNA G-quadruplex predictor, uncovers their impact on stress granule formation Nucleic Acids Research ·Maor Turner, Yehuda M. Danino, Mira Barshai, Nancy‐Sarah Yacovzada, Yahel Cohen, Tsviya Olender, Ron Rotkopf, David Monchaud, Eran Hornstein, Yaron Orenstein	2022	22
12	Assessment of Algorithms for Inferring Positional Weight Matrix Motifs of Transcription Factor Binding Sites Using Protein Binding Microarray Data PLoS ONE ·Yaron Orenstein, Chaim Linhart, Ron Shamir	2012	18
13	A Randomized Parallel Algorithm for Efficiently Finding Near-Optimal Universal Hitting Sets Lecture notes in computer science ·Barış Ekim, Bonnie Berger, Yaron Orenstein	2020	17
14	Integrated microfluidic approach for quantitative high-throughput measurements of transcription factor binding affinities Nucleic Acids Research ·Yaïr Glick, Yaron Orenstein, Dana Chen, Dorit Avrahami, Tsaffrir Zor, Ron Shamir, Doron Gerber	2015	16
15	Modeling protein–DNA binding via high-throughputin vitrotechnologies Briefings in Functional Genomics ·Yaron Orenstein, Ron Shamir	2016	15
16	G4detector: Convolutional Neural Network to Predict DNA G-Quadruplexes IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Mira Barshai, Alice Aubert, Yaron Orenstein	2021	15
17	Identifying Regulatory Elements via Deep Learning Mira Barshai, Eitamar Tripto, Yaron Orenstein	2020	14
18	A systematic evaluation of data processing and problem formulation of CRISPR off-target site prediction Briefings in Bioinformatics ·Ofir Yaish, Maor Asif, Yaron Orenstein	2022	13
19	SELMAP - SELEX affinity landscape MAPping of transcription factor binding sites using integrated microfluidics Scientific Reports ·Dana Chen, Yaron Orenstein, Rada Golodnitsky, Michal Pellach, Dorit Avrahami, Chaim Wachtel, Avital Ovadia-Shochat, Hila Shir-Shapira, Adi Kedmi, Tamar Juven‐Gershon, Ron Shamir, Doron Gerber	2016	13
20	Overcoming the design, build, test bottleneck for synthesis of nonrepetitive protein-RNA cassettes Nature Communications ·Noa Katz, Eitamar Tripto, Naor Granik, Sarah Goldberg, Orna Atar, Zohar Yakhini, Yaron Orenstein, Roee Amit	2021	13

About Yaron Orenstein

Yaron Orenstein is a scholar working on Molecular Biology, Artificial Intelligence, Ecology, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 48 papers that have together received 830 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (27 papers), Genomics and Chromatin Dynamics (16 papers), RNA Research and Splicing (14 papers), Advanced biosensing and bioanalysis techniques (11 papers), RNA modifications and cancer (10 papers), Genomics and Phylogenetic Studies (7 papers), CRISPR and Genetic Engineering (7 papers) and DNA and Nucleic Acid Chemistry (7 papers). The work is most often cited by research in Molecular Biology (760 citations), Cancer Research (53 citations), Aging (5 citations), Business and International Management (5 citations) and Genetics (61 citations). Yaron Orenstein has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Ron Shamir, Bonnie Berger, Benny Chor, Yuhao Wang, David Pellow, Carl Kingsford, Guillaume Marçais, Arttu Jolma, Jussi Taipale and Yimeng Yin. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Briefings in Bioinformatics, iScience and Journal of Computational Biology.

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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