Oren Parnas

6.7k total citations · 3 hit papers
20 papers, 2.7k citations indexed

About

Oren Parnas is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Oren Parnas has authored 20 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Immunology. Recurrent topics in Oren Parnas's work include DNA Repair Mechanisms (5 papers), Genomics and Chromatin Dynamics (5 papers) and Single-cell and spatial transcriptomics (4 papers). Oren Parnas is often cited by papers focused on DNA Repair Mechanisms (5 papers), Genomics and Chromatin Dynamics (5 papers) and Single-cell and spatial transcriptomics (4 papers). Oren Parnas collaborates with scholars based in Israel, United States and Germany. Oren Parnas's co-authors include Atray Dixit, Aviv Regev, Thomas M. Norman, Britt Adamson, Jonathan S. Weissman, Raktima Raychowdhury, Nir Friedman, Jenny Chen, Eric S. Lander and Livnat Jerby‐Arnon and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Oren Parnas

19 papers receiving 2.6k citations

Hit Papers

Perturb-Seq: Dissecting Molecular Circuits with Scalable ... 2016 2026 2019 2022 2016 2016 2024 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oren Parnas Israel 14 2.2k 356 316 303 284 20 2.7k
Thomas Eisenhaure United States 16 2.4k 1.1× 608 1.7× 301 1.0× 1.0k 3.4× 239 0.8× 22 3.3k
Dorre A. Grueneberg United States 18 2.3k 1.0× 533 1.5× 432 1.4× 320 1.1× 354 1.2× 20 3.0k
Emma W Vaimberg United States 6 2.9k 1.3× 395 1.1× 194 0.6× 295 1.0× 468 1.6× 6 3.4k
Laura M. Selfors United States 25 2.0k 0.9× 874 2.5× 640 2.0× 308 1.0× 157 0.6× 43 3.2k
Sergi Regot United States 18 1.9k 0.9× 208 0.6× 287 0.9× 151 0.5× 140 0.5× 27 2.3k
Eduardo A. Torre United States 18 2.6k 1.2× 332 0.9× 656 2.1× 212 0.7× 239 0.8× 24 3.1k
Shengbao Suo China 22 1.8k 0.8× 405 1.1× 197 0.6× 372 1.2× 124 0.4× 44 2.3k
Yaniv Lubling Israel 16 3.8k 1.7× 588 1.7× 375 1.2× 767 2.5× 492 1.7× 19 4.6k
Luca Pinello United States 37 5.2k 2.3× 453 1.3× 791 2.5× 448 1.5× 990 3.5× 97 6.0k

Countries citing papers authored by Oren Parnas

Since Specialization
Citations

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

Fields of papers citing papers by Oren Parnas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oren Parnas

This figure shows the co-authorship network connecting the top 25 collaborators of Oren Parnas. A scholar is included among the top collaborators of Oren Parnas 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 Oren Parnas. Oren Parnas 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.
Saba, Elias S., Hiromichi Kawasaki, Inbar Plaschkes, et al.. (2024). Oral bacteria accelerate pancreatic cancer development in mice. Gut. 73(5). 770–786. 37 indexed citations breakdown →
2.
Cinnamon, Einat, Ilan Stein, Y. Schlesinger, et al.. (2024). RORc-expressing immune cells negatively regulate tertiary lymphoid structure formation and support their pro-tumorigenic functions. Journal of Hepatology. 82(6). 1050–1067.
4.
Tornovsky-Babeay, Sharona, Abedelmajeed Nasereddin, Inbar Plaschkes, et al.. (2023). Systematic identification of gene combinations to target in innate immune cells to enhance T cell activation. Nature Communications. 14(1). 6295–6295. 2 indexed citations
5.
Parnas, Oren, et al.. (2023). Pancreatic Tissue Dissection to Isolate Viable Single Cells. Journal of Visualized Experiments. 3 indexed citations
6.
Abed, Jawad, Amjad Shhadeh, Shiran Udi, et al.. (2022). Placental colonization by Fusobacterium nucleatum is mediated by binding of the Fap2 lectin to placentally displayed Gal-GalNAc. Cell Reports. 38(12). 110537–110537. 34 indexed citations
7.
Kalt, Inna, et al.. (2021). Targeting the Kaposi’s sarcoma-associated herpesvirus genome with the CRISPR-Cas9 platform in latently infected cells. Virology Journal. 18(1). 56–56. 6 indexed citations
8.
Kolodkin‐Gal, Dror, Roy Z. Granit, Rachel Kalifa, et al.. (2020). Single-cell transcriptomes of pancreatic preinvasive lesions and cancer reveal acinar metaplastic cells’ heterogeneity. Nature Communications. 11(1). 4516–4516. 124 indexed citations
9.
Parnas, Oren, et al.. (2019). A single-cell transcriptomic atlas of the developing chicken limb. BMC Genomics. 20(1). 401–401. 39 indexed citations
10.
Šebesta, Marek, Martin Pačesa, Alex Bronstein, et al.. (2017). A structure–function analysis of the yeast Elg1 protein reveals the importance of PCNA unloading in genome stability maintenance. Nucleic Acids Research. 45(6). gkw1348–gkw1348. 35 indexed citations
11.
Lee, Jennifer, Pedro M. Moraes‐Vieira, Ângela Castoldi, et al.. (2016). Branched Fatty Acid Esters of Hydroxy Fatty Acids (FAHFAs) Protect against Colitis by Regulating Gut Innate and Adaptive Immune Responses. Journal of Biological Chemistry. 291(42). 22207–22217. 118 indexed citations
12.
Adamson, Britt, Thomas M. Norman, Marco Jost, et al.. (2016). A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response. Cell. 167(7). 1867–1882.e21. 690 indexed citations breakdown →
13.
Dixit, Atray, Oren Parnas, Jenny Chen, et al.. (2016). Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens. Cell. 167(7). 1853–1866.e17. 1027 indexed citations breakdown →
14.
Parnas, Oren, Marko Jovanović, Thomas Eisenhaure, et al.. (2015). A Genome-wide CRISPR Screen in Primary Immune Cells to Dissect Regulatory Networks. Cell. 162(3). 675–686. 328 indexed citations
15.
Gazy, Inbal, Batia Liefshitz, Oren Parnas, & Martin Kupiec. (2014). Elg1, a central player in genome stability. Mutation Research/Reviews in Mutation Research. 763. 267–279. 12 indexed citations
16.
Parnas, Oren, David L. Corcoran, & Bryan R. Cullen. (2014). Analysis of the mRNA Targetome of MicroRNAs Expressed by Marek’s Disease Virus. mBio. 5(1). e01060–13. 34 indexed citations
17.
Gazy, Inbal, Batia Liefshitz, Alex Bronstein, et al.. (2013). A Genetic Screen for High Copy Number Suppressors of the Synthetic Lethality Betweenelg1Δandsrs2Δin Yeast. G3 Genes Genomes Genetics. 3(5). 917–926. 15 indexed citations
18.
Parnas, Oren, et al.. (2011). Elg1, the major subunit of an alternative RFC complex, interacts with SUMO-processing proteins. Cell Cycle. 10(17). 2894–2903. 22 indexed citations
19.
Parnas, Oren, Adi Zipin‐Roitman, Boris Pfander, et al.. (2010). Elg1, an alternative subunit of the RFC clamp loader, preferentially interacts with SUMOylated PCNA. The EMBO Journal. 29(15). 2611–2622. 82 indexed citations
20.
Parnas, Oren, Adi Zipin‐Roitman, Yuval Mazor, et al.. (2009). The Elg1 Clamp Loader Plays a Role in Sister Chromatid Cohesion. PLoS ONE. 4(5). e5497–e5497. 52 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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