Livnat Jerby‐Arnon

7.5k total citations · 1 hit paper
10 papers, 1.5k citations indexed

About

Livnat Jerby‐Arnon is a scholar working on Molecular Biology, Immunology and Computational Theory and Mathematics. According to data from OpenAlex, Livnat Jerby‐Arnon has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Livnat Jerby‐Arnon's work include Single-cell and spatial transcriptomics (4 papers), Immune Cell Function and Interaction (3 papers) and Computational Drug Discovery Methods (2 papers). Livnat Jerby‐Arnon is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Immune Cell Function and Interaction (3 papers) and Computational Drug Discovery Methods (2 papers). Livnat Jerby‐Arnon collaborates with scholars based in United States, Israel and South Korea. Livnat Jerby‐Arnon's co-authors include Aviv Regev, Nir Friedman, Thomas M. Norman, Jenny Chen, Eric S. Lander, Oren Parnas, Britt Adamson, Jonathan S. Weissman, Atray Dixit and Danielle Dionne and has published in prestigious journals such as Nature, Cell and Journal of Clinical Oncology.

In The Last Decade

Livnat Jerby‐Arnon

9 papers receiving 1.5k 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.

Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens

2016 1.0k citations Atray Dixit, Oren Parnas et al. Cell profile →

Peers

Livnat Jerby‐Arnon

MB

IMMUN

CR

ONCOL

BIOPH

Marcelo Behar United States

Shengbao Suo China

Sydney M. Shaffer United States

Sergi Regot United States

Anja Sieber Germany

Leon Anavy Israel

Andrew L. Ji United States

Nils Eling Switzerland

Eleanor Williams United Kingdom

Stefan Legewie Germany

Marcelo Behar United States

Livnat Jerby‐Arnon

902 ×0.7

MB

344 ×1.3

IMMUN

261 ×1.3

CR

145 ×0.7

ONCOL

70 ×0.5

BIOPH

Citations per year, relative to Livnat Jerby‐Arnon Livnat Jerby‐Arnon (= 1×) peers Marcelo Behar

Countries citing papers authored by Livnat Jerby‐Arnon

Since Specialization

Citations

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

Fields of papers citing papers by Livnat Jerby‐Arnon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Livnat Jerby‐Arnon. 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 Livnat Jerby‐Arnon. The network helps show where Livnat Jerby‐Arnon may publish in the future.

Co-authorship network of co-authors of Livnat Jerby‐Arnon

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

All Works

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10 of 10 papers shown

1.

Yeh, Christine Y., Karmen Aguirre, Aihui Wang, et al.. (2024). Mapping spatial organization and genetic cell-state regulators to target immune evasion in ovarian cancer. Nature Immunology. 25(10). 1943–1958. 18 indexed citations

2.

Jerby‐Arnon, Livnat & Aviv Regev. (2022). DIALOGUE maps multicellular programs in tissue from single-cell or spatial transcriptomics data. Nature Biotechnology. 40(10). 1467–1477. 63 indexed citations

3.

Barnabas, Georgina D., Joo Sang Lee, Michal Harel, et al.. (2021). Serine Biosynthesis Is a Metabolic Vulnerability in IDH2-Driven Breast Cancer Progression. Cancer Research. 81(6). 1443–1456. 22 indexed citations

4.

Kamber, Roarke A., Yoko Nishiga, Allison Banuelos, et al.. (2021). Inter-cellular CRISPR screens reveal regulators of cancer cell phagocytosis. Nature. 597(7877). 549–554. 118 indexed citations

5.

Li, Amy, Rebecca H. Herbst, David Canner, et al.. (2019). IL-33 Signaling Alters Regulatory T Cell Diversity in Support of Tumor Development. Cell Reports. 29(10). 2998–3008.e8. 53 indexed citations

6.

Li, Amy, Rebecca H. Herbst, David Canner, et al.. (2019). Longitudinal Single Cell Profiling of Regulatory T Cells Identifies IL-33 as a Driver of Tumor Immunosuppression. SSRN Electronic Journal. 1 indexed citations

7.

Izar, Benjamin, Livnat Jerby‐Arnon, Asaf Rotem, et al.. (2018). Single-cell RNA-sequencing and -imaging of melanoma ecosystems reveals sources of resistance to immune checkpoint blockade.. Journal of Clinical Oncology. 36(15_suppl). 3074–3074. 1 indexed citations

8.

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 →

9.

Jerby‐Arnon, Livnat & Eytan Ruppin. (2015). Moving ahead on harnessing synthetic lethality to fight cancer. Molecular & Cellular Oncology. 2(2). e977150–e977150.

10.

Jerby‐Arnon, Livnat, Yedael Y. Waldman, Lynn McGarry, et al.. (2014). Predicting Cancer-Specific Vulnerability via Data-Driven Detection of Synthetic Lethality. Cell. 158(5). 1199–1209. 201 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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