Noa Rivlin

2.0k citations
15 papers · 1.6k indexed · 1 hit paper · h-index 14
    • Cancer, Hypoxia, and Metabolism 5
    • Cancer, Lipids, and Metabolism 2
  • Oncology top 5%
    • Cancer-related Molecular Pathways 10
    • Cancer Cells and Metastasis 2
    • Epigenetics and DNA Methylation 7
    • Pluripotent Stem Cells Research 3
    • Renal and related cancers 2
    • Cancer Research and Treatments 2

Noa Rivlin

15 papers receiving 1.5k citations

Hit Papers

Mutations in the p53 Tumor Suppressor Gene: Important Mil...7572011202620162021250500750

Peers

Noa Rivlin
Comparison fields: 5 of 100
  • Cancer Research 459
  • Oncology 719
  • Molecular Biology 982
  • Biotechnology 97
  • Drug Discovery 1
Replace Shu Okamura with:
Shu Okamura Japan
Kazunori Otsuka Japan
Sven A. Lang Germany
Jun Cao China
Ying Su China
Sheng-Chieh Hsu Taiwan
Milind Suraokar United States
Flore Kruiswijk United States
Yongdong Feng China
Valerie Odero-Marah United States
Noa Rivlin relative to Shu Okamura Japan Shu Okamura's profile →
Citations per field
00.5×1.5×2.0×
Shu Okamura · 1×
Citations per year

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

The 25 scholars most cited alongside Noa Rivlin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Noa Rivlin Line = papers co-authored together Noa Rivlin links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201716
2 201416
3 201444
4 201445
5 201433
6 201393
7 201244
8 201255
9 201234
10
Mutations in the p53 Tumor Suppressor Gene: Important Milestones at the Various Steps of Tumorigenesisbreakdown →
2011757
11 201183
12 201064
13 20108
14 2010132
15 2010129

About Noa Rivlin

Noa Rivlin is a scholar working on Oncology, Cancer Research, Biotechnology, Molecular Biology and Pharmacology, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (10 papers), Epigenetics and DNA Methylation (7 papers), Cancer, Hypoxia, and Metabolism (5 papers), Pluripotent Stem Cells Research (3 papers), Cancer Research and Treatments (2 papers), Renal and related cancers (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (459 citations), Oncology (719 citations), Molecular Biology (982 citations), Biotechnology (97 citations) and Drug Discovery (1 citation). Noa Rivlin has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Varda Rotter, Ran Brosh, Moshe Oren, Alina Molchadsky, Naomi Goldfinger, Rachel Sarig, Osnat Ezra, Shalom Madar, Ido Goldstein and Gabriela Koifman. Their work appears in journals such as Cell Death and Differentiation, Carcinogenesis, The Journal of Cell Biology, Genes & Cancer and Journal of Hepatology.

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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