Mee Lee Looi

23 papers receiving 360 citations

Peers

Mee Lee Looi
Comparison fields: 5 of 89
  • Rehabilitation 47
  • Aquatic Science 28
  • Cancer Research 47
  • Biochemistry 18
  • Applied Microbiology and Biotechnology 6
Replace Paulina Sawicka with:
Paulina Sawicka Poland
Moon‐Jin Jeong South Korea
Indra Bachtiar Indonesia
Jong-Gwan Kim South Korea
Amir Monfaredan Iran
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Citations per field
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Citations per year

Countries citing papers authored by Mee Lee Looi

Since Specialization
Citations

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

Fields of papers citing papers by Mee Lee Looi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mee Lee Looi. 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 Mee Lee Looi. The network helps show where Mee Lee Looi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200835
2 202333
3 202331
4 200927
5
Quantity and quality assessment of DNA extracted from saliva and blood.
201227
6 202125
7 201424
8 201524
9 202222
10 200921
11 201317
12 202117
13 201616
14
Combined assessment of TGF-beta-1 and alpha-fetoprotein values improves specificity in the diagnosis of hepatocellular carcinoma and other chronic liver diseases in Malaysia.
200912
15 20129
16
Expression of p53, bcl-2 and Ki-67 in cervical intraepithelial neoplasia and invasive squamous cell carcinoma of the uterine cervix.
20089
17
Clusterin as a potential marker in distinguishing cervical neoplasia.
20117
18 20115
19 20064
20 20232

About Mee Lee Looi

Mee Lee Looi is a scholar working on Molecular Biology, Epidemiology, Rehabilitation, Biomedical Engineering and Oncology, having authored 25 papers that have together received 371 indexed citations. Recurring topics across this work include Wound Healing and Treatments (4 papers), Cervical Cancer and HPV Research (4 papers), Cancer, Lipids, and Metabolism (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Skin and Cellular Biology Research (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Rehabilitation (47 citations), Aquatic Science (28 citations), Cancer Research (47 citations), Biochemistry (18 citations) and Applied Microbiology and Biotechnology (6 citations). Mee Lee Looi has collaborated with scholars based in Malaysia, Japan and Australia. Frequent co-authors include Yasmin Anum Mohd Yusof, Umah Rani Kuppusamy, Wan Zurinah Wan Ngah, Mh Busra Fauzi, Kar Yong Pin, Asif Jamal, Rahman Jamal, Siok‐Fong Chin, Syed Zulkifli Syed Zakaria and Rahman Jamal. Their work appears in journals such as Journal of Zhejiang University SCIENCE B, Pathology & Oncology Research, Journal of Applied Polymer Science, ACS Biomaterials Science & Engineering and Canadian Journal of Microbiology.

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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