Meital Charni‐Natan

942 total citations · 1 hit paper
16 papers, 652 citations indexed

About

Meital Charni‐Natan is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Meital Charni‐Natan has authored 16 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Cancer Research and 5 papers in Molecular Biology. Recurrent topics in Meital Charni‐Natan's work include Cancer-related Molecular Pathways (6 papers), Cancer, Lipids, and Metabolism (3 papers) and Diet and metabolism studies (3 papers). Meital Charni‐Natan is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Cancer, Lipids, and Metabolism (3 papers) and Diet and metabolism studies (3 papers). Meital Charni‐Natan collaborates with scholars based in Israel, United States and France. Meital Charni‐Natan's co-authors include Ido Goldstein, Varda Rotter, Ronit Aloni-Grinstein, Alina Molchadsky, Hilla Solomon, Etty Osher, Ziv Porat, Naomi Goldfinger, Yechiel Shai and Gabriela Koifman and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Meital Charni‐Natan

15 papers receiving 645 citations

Hit Papers

align trajectories sort by overperformance

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.

Protocol for Primary Mouse Hepatocyte Isolation

2020 240 citations Meital Charni‐Natan, Ido Goldstein STAR Protocols profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meital Charni‐Natan Israel	10	347	153	131	106	81	16	652
Jörg F. Rippmann Germany	15	372 1.1×	169 1.1×	157 1.2×	51 0.5×	102 1.3×	21	642
Hadrien Demagny Switzerland	11	384 1.1×	215 1.4×	185 1.4×	61 0.6×	37 0.5×	16	682
Jinzhi Wang China	17	395 1.1×	129 0.8×	80 0.6×	129 1.2×	51 0.6×	49	768
Bin Xue China	14	395 1.1×	107 0.7×	65 0.5×	83 0.8×	36 0.4×	25	619
Yuli Wang China	11	468 1.3×	212 1.4×	73 0.6×	150 1.4×	66 0.8×	23	736
Chaozhi Jin China	13	338 1.0×	83 0.5×	98 0.7×	81 0.8×	169 2.1×	21	611
Wannan Chen China	20	503 1.4×	101 0.7×	257 2.0×	230 2.2×	84 1.0×	39	876
Tomoko Inoue Japan	19	565 1.6×	286 1.9×	91 0.7×	200 1.9×	175 2.2×	50	1.0k
Noah Meurs United States	6	408 1.2×	73 0.5×	127 1.0×	221 2.1×	49 0.6×	10	684
Toshiyuki Mikami Japan	9	471 1.4×	62 0.4×	95 0.7×	85 0.8×	112 1.4×	13	722

Countries citing papers authored by Meital Charni‐Natan

Since Specialization

Citations

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

Fields of papers citing papers by Meital Charni‐Natan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meital Charni‐Natan. 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 Meital Charni‐Natan. The network helps show where Meital Charni‐Natan may publish in the future.

Co-authorship network of co-authors of Meital Charni‐Natan

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

All Works

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16 of 16 papers shown

Charni‐Natan, Meital, Arnaud Polizzi, Abedelmajeed Nasereddin, et al.. (2024). Repeated fasting events sensitize enhancers, transcription factor activity and gene expression to support augmented ketogenesis. Nucleic Acids Research. 53(1).

Charni‐Natan, Meital, et al.. (2024). LXR-dependent enhancer activation regulates the temporal organization of the liver’s response to refeeding leading to lipogenic gene overshoot. PLoS Biology. 22(9). e3002735–e3002735. 2 indexed citations

Charni‐Natan, Meital, et al.. (2024). Transcriptional cascades during fasting amplify gluconeogenesis and instigate a secondary wave of ketogenic gene transcription. Liver International. 44(11). 2964–2982. 2 indexed citations

Charni‐Natan, Meital, et al.. (2023). Dynamic chromatin accessibility during nutritional iron overload reveals a BMP6-independent induction of cell cycle genes. The Journal of Nutritional Biochemistry. 119. 109407–109407. 3 indexed citations

Charni‐Natan, Meital, et al.. (2023). Protocol for bulk and single-nuclei chromatin accessibility quantification in mouse liver tissue. STAR Protocols. 4(3). 102462–102462. 2 indexed citations

Charni‐Natan, Meital, et al.. (2022). Hormone-controlled cooperative binding of transcription factors drives synergistic induction of fasting-regulated genes. Nucleic Acids Research. 50(10). 5528–5544. 13 indexed citations

Charni‐Natan, Meital, et al.. (2021). Fasting Hormones Synergistically Induce Amino Acid Catabolism Genes to Promote Gluconeogenesis. Cellular and Molecular Gastroenterology and Hepatology. 12(3). 1021–1036. 21 indexed citations

Charni‐Natan, Meital & Ido Goldstein. (2020). Protocol for Primary Mouse Hepatocyte Isolation. STAR Protocols. 1(2). 100086–100086. 240 indexed citations breakdown →

Charni‐Natan, Meital, Ronit Aloni-Grinstein, Etty Osher, & Varda Rotter. (2019). Liver and Steroid Hormones—Can a Touch of p53 Make a Difference?. Frontiers in Endocrinology. 10. 374–374. 61 indexed citations

10.

Klug, Yoel A., Roland Schwarzer, Meital Charni‐Natan, et al.. (2019). The HIV gp41 Fusion Protein Inhibits T-Cell Activation through the Lentiviral Lytic Peptide 2 Motif. Biochemistry. 58(6). 818–832. 2 indexed citations

11.

Charni‐Natan, Meital, et al.. (2018). Various stress stimuli rewire the profile of liver secretome in a p53-dependent manner. Cell Death and Disease. 9(6). 647–647. 9 indexed citations

12.

Solomon, Hilla, Ioannis S. Pateras, Tomer Cooks, et al.. (2018). Mutant p53 gain of function underlies high expression levels of colorectal cancer stem cells markers. Oncogene. 37(12). 1669–1684. 98 indexed citations

13.

Aloni-Grinstein, Ronit, Meital Charni‐Natan, Hilla Solomon, & Varda Rotter. (2018). p53 and the Viral Connection: Back into the Future ‡. Cancers. 10(6). 178–178. 68 indexed citations

14.

Klug, Yoel A., et al.. (2017). Intramembrane attenuation of the TLR4-TLR6 dimer impairs receptor assembly and reduces microglia-mediated neurodegeneration. Journal of Biological Chemistry. 292(32). 13415–13427. 34 indexed citations

15.

Charni‐Natan, Meital, Ronit Aloni-Grinstein, Alina Molchadsky, & Varda Rotter. (2016). p53 on the crossroad between regeneration and cancer. Cell Death and Differentiation. 24(1). 8–14. 81 indexed citations

16.

Charni‐Natan, Meital, Noa Rivlin, Alina Molchadsky, Ronit Aloni-Grinstein, & Varda Rotter. (2014). p53 in liver pathologies—taking the good with the bad. Journal of Molecular Medicine. 92(12). 1229–1234. 16 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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