Noa Gil

1.6k citations
9 papers · 906 · 1 hit paper · h-index 7

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Plant and Fungal Interactions Research

Papers in

    • RNA modifications and cancer 7
    • RNA Research and Splicing 7
    • Genomics and Chromatin Dynamics 1
    • Epigenetics and DNA Methylation 1
    • Pluripotent Stem Cells Research 1
    • CRISPR and Genetic Engineering 1
    • Cancer-related molecular mechanisms research 7
    • MicroRNA in disease regulation 1

Noa Gil

9 papers receiving 901 citations

Noa Gil's Hit Papers

Regulation of gene expression by cis-acting long non-coding RNAs 2019 · 515 citations
5150+2+4Years since publication100200300400500

Peers

Noa Gil
Comparison fields: 5 of 74
  • Cancer Research 591
  • Endocrinology 59
  • Molecular Biology 652
  • Genetics 55
  • Immunology 36
Replace Saakshi Jalali with:
Saakshi Jalali India
Daniel T. Youmans United States
Mukesh Kumar Lalwani India
Pixi Yan China
Bahareldin Ali Abdalla China
Sai Luo China
John E. Froberg United States
Yafei Yin China
Matthew Friedersdorf United States
Jiapei Yuan China
Noa Gil relative to Saakshi Jalali India Saakshi Jalali's profile →
Citations per field
00.5×
Saakshi Jalali · 1×
Citations per year

Countries citing papers authored by Noa Gil

Since Specialization
Citations

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

Fields of papers citing papers by Noa Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Noa Gil, 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 Gil Line = papers co-authored together Noa Gil links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Regulation of gene expression by cis-acting long non-coding RNAs
Hit paper breakdown →
2019515
2 2016175
3 201984
4 201863
5 201941
6 202012
7 202210
8 20235
9 20211

About Noa Gil

Noa Gil is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Organic Chemistry and Surgery, having authored 9 papers that have together received 906 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (7 papers), RNA Research and Splicing (7 papers), Genomics and Chromatin Dynamics (1 paper), Epigenetics and DNA Methylation (1 paper), MicroRNA in disease regulation (1 paper), Pluripotent Stem Cells Research (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cancer Research (591 citations), Endocrinology (59 citations), Molecular Biology (652 citations), Genetics (55 citations) and Immunology (36 citations). Noa Gil has collaborated with scholars based in Israel, Switzerland and France. Frequent co-authors include Igor Ulitsky, Ailone Tichon, Doron Lemze, Noam Stern‐Ginossar, Yoav Lubelsky, Shalev Itzkovitz, Rotem Ben‐Tov Perry, Rotem Kadir, Matan Golan and Inbal Biton. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Cell Reports, Nature Structural & Molecular Biology and EMBO Reports.

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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