Noa Rivlin

2.0k total citations · 1 hit paper
15 papers, 1.6k citations indexed

About

Noa Rivlin is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Noa Rivlin has authored 15 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 9 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Noa Rivlin's work include Cancer-related Molecular Pathways (10 papers), Epigenetics and DNA Methylation (7 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Noa Rivlin is often cited by papers focused on Cancer-related Molecular Pathways (10 papers), Epigenetics and DNA Methylation (7 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Noa Rivlin collaborates with scholars based in Israel, United States and Australia. Noa Rivlin's co-authors include Varda Rotter, Ran Brosh, Moshe Oren, Alina Molchadsky, Naomi Goldfinger, Rachel Sarig, Osnat Ezra, Shalom Madar, Ido Goldstein and Gabriela Koifman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Noa Rivlin

15 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.

Mutations in the p53 Tumor Suppressor Gene: Important Milestones at the Various Steps of Tumorigenesis

2011 757 citations Noa Rivlin, Ran Brosh et al. Genes & Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Noa Rivlin Israel	14	982	719	459	133	112	15	1.6k
Shu Okamura Japan	16	1.2k 1.2×	600 0.8×	433 0.9×	158 1.2×	76 0.7×	72	1.8k
Yongdong Feng China	26	972 1.0×	641 0.9×	397 0.9×	176 1.3×	143 1.3×	64	1.7k
Muxiang Zhou United States	26	1.6k 1.6×	893 1.2×	525 1.1×	110 0.8×	124 1.1×	51	2.3k
Flore Kruiswijk United States	6	1.1k 1.1×	408 0.6×	651 1.4×	119 0.9×	122 1.1×	8	1.6k
Susanne Gansauge Germany	24	826 0.8×	807 1.1×	281 0.6×	119 0.9×	135 1.2×	53	1.8k
Huiling Yang China	26	1.3k 1.3×	475 0.7×	542 1.2×	148 1.1×	63 0.6×	65	1.7k
Jun Cao China	23	810 0.8×	562 0.8×	418 0.9×	336 2.5×	91 0.8×	74	1.6k
Sven A. Lang Germany	24	928 0.9×	449 0.6×	298 0.6×	174 1.3×	95 0.8×	44	1.5k
Sheng-Chieh Hsu Taiwan	16	1.0k 1.1×	811 1.1×	364 0.8×	286 2.2×	86 0.8×	16	1.7k
Maria Letizia Motti Italy	21	1.2k 1.2×	757 1.1×	308 0.7×	126 0.9×	98 0.9×	42	1.8k

Countries citing papers authored by Noa Rivlin

Since Specialization

Citations

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

Fields of papers citing papers by Noa Rivlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noa Rivlin

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

All Works

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15 of 15 papers shown

Sheridan, Julie M., Antonia N. Policheni, Noa Rivlin, et al.. (2017). Thymospheres Are Formed by Mesenchymal Cells with the Potential to Generate Adipocytes, but Not Epithelial Cells. Cell Reports. 21(4). 934–942. 16 indexed citations

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

Rivlin, Noa, Gabriela Koifman, & Varda Rotter. (2014). p53 orchestrates between normal differentiation and cancer. Seminars in Cancer Biology. 32. 10–17. 44 indexed citations

Rivlin, Noa, Michal Sheffer, Alina Molchadsky, et al.. (2014). Rescue of embryonic stem cells from cellular transformation by proteomic stabilization of mutant p53 and conversion into WT conformation. Proceedings of the National Academy of Sciences. 111(19). 7006–7011. 45 indexed citations

Shetzer, Yoav, Gabriela Koifman, Rachel Sarig, et al.. (2014). The onset of p53 loss of heterozygosity is differentially induced in various stem cell types and may involve the loss of either allele. Cell Death and Differentiation. 21(9). 1419–1431. 33 indexed citations

Molchadsky, Alina, Osnat Ezra, David Krantz, et al.. (2013). p53 is required for brown adipogenic differentiation and has a protective role against diet-induced obesity. Cell Death and Differentiation. 20(5). 774–783. 93 indexed citations

Brosh, Ran, Alina Molchadsky, Chamutal Bornstein, et al.. (2012). p53 Counteracts reprogramming by inhibiting mesenchymal-to-epithelial transition. Cell Death and Differentiation. 20(2). 312–320. 44 indexed citations

Goldstein, Ido, Noa Rivlin, Osnat Ezra, et al.. (2012). Chemotherapeutic agents induce the expression and activity of their clearing enzyme CYP3A4 by activating p53. Carcinogenesis. 34(1). 190–198. 55 indexed citations

Goldstein, Ido, Osnat Ezra, Noa Rivlin, et al.. (2012). p53, a novel regulator of lipid metabolism pathways. BMC Proceedings. 6(S3). 34 indexed citations

10.

Rivlin, Noa, Ran Brosh, Moshe Oren, & Varda Rotter. (2011). Mutations in the p53 Tumor Suppressor Gene: Important Milestones at the Various Steps of Tumorigenesis. Genes & Cancer. 2(4). 466–474. 757 indexed citations breakdown →

11.

Goldstein, Ido, Osnat Ezra, Noa Rivlin, et al.. (2011). p53, a novel regulator of lipid metabolism pathways. Journal of Hepatology. 56(3). 656–662. 83 indexed citations

12.

Buganim, Yosef, Hilla Solomon, Yoach Rais, et al.. (2010). p53 Regulates the Ras Circuit to Inhibit the Expression of a Cancer-Related Gene Signature by Various Molecular Pathways. Cancer Research. 70(6). 2274–2284. 64 indexed citations

13.

Sarig, Rachel, Noa Rivlin, Ran Brosh, et al.. (2010). Mutant p53 facilitates somatic cell reprogramming and augments the malignant potential of reprogrammed cells. The Journal of Cell Biology. 190(4). i10–i10. 8 indexed citations

14.

Molchadsky, Alina, Noa Rivlin, Ran Brosh, Varda Rotter, & Rachel Sarig. (2010). p53 is balancing development, differentiation and de-differentiation to assure cancer prevention. Carcinogenesis. 31(9). 1501–1508. 132 indexed citations

15.

Sarig, Rachel, Noa Rivlin, Ran Brosh, et al.. (2010). Mutant p53 facilitates somatic cell reprogramming and augments the malignant potential of reprogrammed cells. The Journal of Experimental Medicine. 207(10). 2127–2140. 129 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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