Joo-Leng Low

439 citations
8 papers · 222 · h-index 7

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Protein Tyrosine Phosphatases

Papers in

    • Pluripotent Stem Cells Research 2
    • RNA modifications and cancer 2
    • CRISPR and Genetic Engineering 2
    • RNA Research and Splicing 1
    • 14-3-3 protein interactions 1

Joo-Leng Low

8 papers receiving 221 citations

Peers

Joo-Leng Low
Comparison fields: 5 of 58
  • Cancer Research 72
  • Molecular Biology 183
  • Immunology 26
  • Toxicology 4
  • Otorhinolaryngology 4
Replace Hajar Heidari with:
Hajar Heidari United States
Ren Mo China
Sonia Fernández‐Ruiz Spain
Guang Peng China
Maria C. Passarelli United States
Jiechao Yang China
Xiao-Peng Tian China
Santanu Adhikary India
Alexandra Just Germany
Marie Sabatier United States
Joo-Leng Low relative to Hajar Heidari United States Hajar Heidari's profile →
Citations per field
00.5×6.7×
Hajar Heidari · 1×
Citations per year

Countries citing papers authored by Joo-Leng Low

Since Specialization
Citations

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

Fields of papers citing papers by Joo-Leng Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joo-Leng Low. 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 Joo-Leng Low. The network helps show where Joo-Leng Low may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2019119
2 201327
3 202219
4 201417
5 202114
6 202211
7 20219
8 20136

About Joo-Leng Low

Joo-Leng Low is a scholar working on Molecular Biology, Surgery, Oncology, Cell Biology and Physiology, having authored 8 papers that have together received 222 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (2 papers), RNA modifications and cancer (2 papers), CRISPR and Genetic Engineering (2 papers), RNA Research and Splicing (1 paper), Telomeres, Telomerase, and Senescence (1 paper), 14-3-3 protein interactions (1 paper), Microtubule and mitosis dynamics (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Cancer Research (72 citations), Molecular Biology (183 citations), Immunology (26 citations), Toxicology (4 citations) and Otorhinolaryngology (4 citations). Joo-Leng Low has collaborated with scholars based in Singapore, India and Australia. Frequent co-authors include Ramanuj DasGupta, Christina L. L. Chai, Daniel Yim, Shao Q. Yao, P. V. Shivaprasad, Srikar Krishna Gopinath, S. Raghavan, Judice L.Y. Koh, Jung Eun Park and Akash Gulyani. Their work appears in journals such as iScience, Antioxidants and Redox Signaling, EMBO Reports, EBioMedicine and Nucleic Acids Research.

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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