Ya Chee Lim

1.8k total citations · 1 hit paper
19 papers, 671 citations indexed

About

Ya Chee Lim is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Ya Chee Lim has authored 19 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Ya Chee Lim's work include Colorectal Cancer Treatments and Studies (3 papers), Salmonella and Campylobacter epidemiology (2 papers) and Colorectal Cancer Screening and Detection (2 papers). Ya Chee Lim is often cited by papers focused on Colorectal Cancer Treatments and Studies (3 papers), Salmonella and Campylobacter epidemiology (2 papers) and Colorectal Cancer Screening and Detection (2 papers). Ya Chee Lim collaborates with scholars based in Brunei, Malaysia and Yemen. Ya Chee Lim's co-authors include Long Chiau Ming, K. M. Kaderi Kibria, Der Jiun Ooi, Khang Wen Goh, Md. Sanower Hossain, Ammar Abdulrahman Jairoun, Zannat Urbi, Hidayah Karuniawati, Muhammad Abdul Hadi and A. K. M. Mohiuddin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and Journal of Autism and Developmental Disorders.

In The Last Decade

Ya Chee Lim

17 papers receiving 665 citations

Hit Papers

Colorectal Cancer: A Review of Carcinogenesis, Global Epi... 2022 2026 2023 2024 2022 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ya Chee Lim Brunei 8 260 241 103 86 74 19 671
Lehe Yang China 18 396 1.5× 275 1.1× 134 1.3× 111 1.3× 104 1.4× 42 878
Yanan Jiang China 15 353 1.4× 183 0.8× 112 1.1× 87 1.0× 50 0.7× 58 659
Jimin Zhao China 17 509 2.0× 213 0.9× 156 1.5× 99 1.2× 71 1.0× 70 897
Shan Su China 16 307 1.2× 180 0.7× 65 0.6× 144 1.7× 44 0.6× 41 732
Saiedeh Razi Soofiyani Iran 13 314 1.2× 117 0.5× 104 1.0× 51 0.6× 37 0.5× 30 773
Jumin Huang Macao 15 419 1.6× 207 0.9× 124 1.2× 127 1.5× 77 1.0× 25 832
Glenda Nicioli da Silva Brazil 17 367 1.4× 105 0.4× 121 1.2× 84 1.0× 68 0.9× 89 759
Le Ying China 16 273 1.1× 133 0.6× 103 1.0× 82 1.0× 97 1.3× 38 676
Jixia Li China 15 347 1.3× 98 0.4× 103 1.0× 55 0.6× 37 0.5× 43 673

Countries citing papers authored by Ya Chee Lim

Since Specialization
Citations

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

Fields of papers citing papers by Ya Chee Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya Chee Lim. 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 Ya Chee Lim. The network helps show where Ya Chee Lim may publish in the future.

Co-authorship network of co-authors of Ya Chee Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Ya Chee Lim. A scholar is included among the top collaborators of Ya Chee Lim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ya Chee Lim. Ya Chee Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Mohd‐Naim, Noor Faizah, et al.. (2024). A novel recombinase polymerase amplification approach with propidium iodide reporter for rapid detection of porcine adulteration in food. Journal of Food Composition and Analysis. 135. 106620–106620. 1 indexed citations
2.
Chaw, Liling, et al.. (2023). Survival Analysis of Diabetic Colorectal Cancer Patients on Metformin. SHILAP Revista de lepidopterología. 6(1).
3.
Lim, Ya Chee, et al.. (2023). Amplification-Based CRISPR/Cas12a Biosensor Targeting the COX1 Gene for Specific Detection of Porcine DNA. ACS Omega. 8(41). 38212–38219. 6 indexed citations
4.
Alam, Faiza, et al.. (2023). Multiple mini-interviews is a predictor of students’ academic achievements in early undergraduate medical years: a retrospective study. BMC Medical Education. 23(1). 187–187. 2 indexed citations
5.
Hossain, Md. Sanower, Hidayah Karuniawati, Ammar Abdulrahman Jairoun, et al.. (2022). Colorectal Cancer: A Review of Carcinogenesis, Global Epidemiology, Current Challenges, Risk Factors, Preventive and Treatment Strategies. Cancers. 14(7). 1732–1732. 490 indexed citations breakdown →
6.
Khan, Md. Abdullah Saeed, Ya Chee Lim, Kah Seng Lee, et al.. (2022). A systematic review on chlorine dioxide as a disinfectant. Journal of Medicine and Life. 15(3). 313–318. 42 indexed citations
7.
Hossain, Md. Sanower, Md. Abdul Kader, Khang Wen Goh, et al.. (2022). Herb and Spices in Colorectal Cancer Prevention and Treatment: A Narrative Review. Frontiers in Pharmacology. 13. 865801–865801. 35 indexed citations
8.
Chaw, Liling, Pemasiri Upali Telisinghe, Zen Huat Lu, et al.. (2022). KRAS Mutation: Characterization and Its Impact on Survival Outcome of Patients with Metastatic Colorectal Cancer. Frontiers in Bioscience-Landmark. 27(7). 213–213. 9 indexed citations
9.
David, Sheba R., et al.. (2021). Is Sunflower Cooking Oil Beneficial for Colorectal Cancer? In VivoStudies on Azoxymethane-induced Colon Cancer in Rats. Current Nutrition & Food Science. 18(3). 329–336. 3 indexed citations
10.
Lee, Shirley, et al.. (2021). 2D:4D Ratio and Autism Spectrum Disorder in Brunei Darussalam. Journal of Autism and Developmental Disorders. 51(12). 4577–4586. 3 indexed citations
11.
Yap, Wei Hsum, et al.. (2021). Prospects of Antiviral Drugs Derived from Natural Products: TargetingSARS-CoV Entry and Replication. Current Traditional Medicine. 7(5).
12.
Goh, Bey Hing, et al.. (2021). Does KRAS Play a Role in the Regulation of Colon Cancer Cells-Derived Exosomes?. Biology. 10(1). 58–58. 3 indexed citations
13.
Lim, Ya Chee, et al.. (2020). KRAS-associated microRNAs in colorectal cancer. Oncology Reviews. 14(2). 454–454. 11 indexed citations
14.
Lim, Ya Chee, et al.. (2020). Efficacy of chlorine dioxide as a disinfectant. SHILAP Revista de lepidopterología. 3(1). 6 indexed citations
15.
Chong, Vui Heng, et al.. (2019). Colorectal Cancer in Brunei Darussalam: An Overview and Rationale for National Screening Programme. Asian Pacific Journal of Cancer Prevention. 20(12). 3571–3580. 3 indexed citations
16.
Lim, Ya Chee, et al.. (2018). Polymorphisms in the Cholinergic Receptors Muscarinic (CHRM2 and CHRM3) Genes and Alzheimer's Disease.. PubMed. 10(3). 196–199. 14 indexed citations
17.
Lim, Ya Chee, Bruno Catimel, Daisy Lio, et al.. (2017). Csk-homologous kinase (Chk) is an efficient inhibitor of Src-family kinases but a poor catalyst of phosphorylation of their C-terminal regulatory tyrosine. Cell Communication and Signaling. 15(1). 29–29. 12 indexed citations
18.
Lim, Ya Chee, Rajan Rajabalaya, Shirley Lee, et al.. (2016). Parasitic Mistletoes of the Genera Scurrula and Viscum: From Bench to Bedside. Molecules. 21(8). 1048–1048. 30 indexed citations
19.
Chüeh, Anderly C., et al.. (2015). Csk-homologous kinase (Chk/Matk): a molecular policeman suppressing cancer formation and progression. Frontiers in Biology. 10(3). 195–202. 1 indexed citations

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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