Lip-Lee Cheong

420 citations
8 papers · 360 · h-index 7

Impact in

    • Acute Myeloid Leukemia Research
    • Epigenetics and DNA Methylation
    • Histone Deacetylase Inhibitors Research
    • Protein Tyrosine Phosphatases
    • RNA modifications and cancer
    • Redox biology and oxidative stress
    • Ubiquitin and proteasome pathways

Papers in

    • Protein Tyrosine Phosphatases 4
    • Epigenetics and DNA Methylation 2
    • Histone Deacetylase Inhibitors Research 2
    • Acute Myeloid Leukemia Research 3
    • Chronic Myeloid Leukemia Treatments 1

Lip-Lee Cheong

7 papers receiving 344 citations

Peers

Lip-Lee Cheong
Comparison fields: 5 of 54
  • Hematology 53
  • Molecular Biology 296
  • Aging 6
  • Cancer Research 45
  • Oncology 51
Replace Liis Uusküla-Reimand with:
Liis Uusküla-Reimand Canada
Seemana Bhattacharya United States
Jianping Lan China
Jasper E. Neggers United States
Yoshiki Sumitomo Japan
Charu Mehta United States
Naiyer Azam United States
Jan Taplick Austria
Oscar W. Huang United States
Stephen M. Hart United Kingdom
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Citations per field
00.5×2.5×
Liis Uusküla-Reimand · 1×
Citations per year

Countries citing papers authored by Lip-Lee Cheong

Since Specialization
Citations

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

Fields of papers citing papers by Lip-Lee Cheong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lip-Lee Cheong. 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 Lip-Lee Cheong. The network helps show where Lip-Lee Cheong may publish in the future.

Co-authors

The 21 scholars most cited alongside Lip-Lee Cheong, 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 Lip-Lee Cheong Line = papers co-authored together Lip-Lee Cheong links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2011184
2 197056
3 201631
4 201230
5 201428
6 201421
7 201010
8 20110

About Lip-Lee Cheong

Lip-Lee Cheong is a scholar working on Molecular Biology, Hematology, Cancer Research, Oncology and Ecology, having authored 8 papers that have together received 360 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (4 papers), Acute Myeloid Leukemia Research (3 papers), Epigenetics and DNA Methylation (2 papers), MicroRNA in disease regulation (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Hematology (53 citations), Molecular Biology (296 citations), Aging (6 citations), Cancer Research (45 citations) and Oncology (51 citations). Lip-Lee Cheong has collaborated with scholars based in Singapore. Frequent co-authors include Jianbiao Zhou, Wee Joo Chng, Shaw-Cheng Liu, Chonglei Bi, Sylvia Mahara, Qiang Yu, Donald A. Chambers, Phyllis S.Y. Chong, Qi Zeng and Tuan Zea Tan. Their work appears in journals such as Blood, Experimental Hematology, Molecular Cancer Research, Cancer Research and Molecular Cancer.

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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