Livnat Jerby

2.3k total citations
12 papers, 1.7k citations indexed

About

Livnat Jerby is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Livnat Jerby has authored 12 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Livnat Jerby's work include Cancer, Hypoxia, and Metabolism (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Bioinformatics and Genomic Networks (6 papers). Livnat Jerby is often cited by papers focused on Cancer, Hypoxia, and Metabolism (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Bioinformatics and Genomic Networks (6 papers). Livnat Jerby collaborates with scholars based in Israel, United Kingdom and United States. Livnat Jerby's co-authors include Eytan Ruppin, Tomer Shlomi, Eyal Gottlieb, Christian Frezza, Liang Zheng, Ann Hedley, Elaine D. MacKenzie, Gabriela Kalna, Matej Orešič and Barbara Chaneton and has published in prestigious journals such as Nature, Nature Communications and Cancer Cell.

In The Last Decade

Livnat Jerby

12 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Livnat Jerby Israel 11 1.4k 461 139 136 130 12 1.7k
Raphaël Ferreira Sweden 14 905 0.6× 215 0.5× 67 0.5× 91 0.7× 59 0.5× 27 1.2k
John M. Peltier United States 11 1.2k 0.9× 658 1.4× 161 1.2× 61 0.4× 95 0.7× 17 1.8k
Wenyu Wang China 15 1.1k 0.8× 531 1.2× 241 1.7× 46 0.3× 276 2.1× 40 1.8k
Rency S. Varghese United States 23 1.4k 1.0× 325 0.7× 126 0.9× 70 0.5× 48 0.4× 66 1.8k
Rohith Srivas United States 15 1.7k 1.2× 214 0.5× 95 0.7× 85 0.6× 132 1.0× 22 1.8k
Marco Sciacovelli United Kingdom 22 1.6k 1.1× 803 1.7× 241 1.7× 173 1.3× 28 0.2× 26 2.1k
Francesca Maddalena Italy 25 1.3k 0.9× 406 0.9× 397 2.9× 78 0.6× 48 0.4× 50 1.8k
Mi Yang United States 18 883 0.6× 260 0.6× 235 1.7× 57 0.4× 72 0.6× 31 1.4k
Pei‐Ming Yang Taiwan 24 819 0.6× 335 0.7× 266 1.9× 91 0.7× 47 0.4× 57 1.4k
Sha Cao United States 18 664 0.5× 314 0.7× 193 1.4× 112 0.8× 21 0.2× 71 1.2k

Countries citing papers authored by Livnat Jerby

Since Specialization
Citations

This map shows the geographic impact of Livnat Jerby'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 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 more than expected).

Fields of papers citing papers by Livnat Jerby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Livnat Jerby

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

All Works

12 of 12 papers shown
1.
Anderson, Ana C., Itai Yanai, Lucy Yates, et al.. (2022). Spatial transcriptomics. Cancer Cell. 40(9). 895–900. 29 indexed citations
2.
Boroughs, Angela C., Rebecca C. Larson, Nemanja D. Marjanovic, et al.. (2020). A Distinct Transcriptional Program in Human CAR T Cells Bearing the 4-1BB Signaling Domain Revealed by scRNA-Seq. Molecular Therapy. 28(12). 2577–2592. 62 indexed citations
3.
Hyötyläinen, Tuulia, Livnat Jerby, Ismo Mattila, et al.. (2016). Genome-scale study reveals reduced metabolic adaptability in patients with non-alcoholic fatty liver disease. Nature Communications. 7(1). 8994–8994. 86 indexed citations
4.
Zheng, Liang, Simone Cardaci, Livnat Jerby, et al.. (2015). Fumarate induces redox-dependent senescence by modifying glutathione metabolism. Nature Communications. 6(1). 6001–6001. 205 indexed citations
5.
Jerby, Livnat, Lior Wolf, Carsten Denkert, et al.. (2012). Metabolic Associations of Reduced Proliferation and Oxidative Stress in Advanced Breast Cancer. Cancer Research. 72(22). 5712–5720. 107 indexed citations
6.
Jerby, Livnat & Eytan Ruppin. (2012). Genome-Scale Metabolic Modeling Predicting Drug Targets and Biomarkers of Cancer via. 1 indexed citations
7.
Jerby, Livnat & Eytan Ruppin. (2012). Predicting Drug Targets and Biomarkers of Cancer via Genome-Scale Metabolic Modeling. Clinical Cancer Research. 18(20). 5572–5584. 79 indexed citations
8.
Frezza, Christian, Liang Zheng, Kartik N. Rajagopalan, et al.. (2011). Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase. Nature. 477(7363). 225–228. 377 indexed citations
9.
Jerby, Livnat, et al.. (2011). Predicting selective drug targets in cancer through metabolic networks. Molecular Systems Biology. 7(1). 501–501. 368 indexed citations
10.
Jerby, Livnat, et al.. (2011). Predicting selective drug targets in cancer through metabolic networks. Molecular Systems Biology. 7(1). 23 indexed citations
11.
Jerby, Livnat, et al.. (2011). Predicting selective drug targets in cancer through metabolic networks. Molecular Systems Biology. 7(1). 36 indexed citations
12.
Jerby, Livnat, Tomer Shlomi, & Eytan Ruppin. (2010). Computational reconstruction of tissue‐specific metabolic models: application to human liver metabolism. Molecular Systems Biology. 6(1). 401–401. 287 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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