Meng Ling Choong

1.4k total citations
24 papers, 1.0k citations indexed

About

Meng Ling Choong is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Meng Ling Choong has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Surgery. Recurrent topics in Meng Ling Choong's work include Lipoproteins and Cardiovascular Health (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Genetic Associations and Epidemiology (3 papers). Meng Ling Choong is often cited by papers focused on Lipoproteins and Cardiovascular Health (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Genetic Associations and Epidemiology (3 papers). Meng Ling Choong collaborates with scholars based in Singapore, United States and France. Meng Ling Choong's co-authors include Henry Yang, Ian McNiece, David P. Lane, May Ann Lee, Henry C. Yang, C. Pecquet, Jean‐Philippe Defour, Stefan N. Constantinescu, William Vainchenker and Soon Keng Cheong and has published in prestigious journals such as Blood, PLoS ONE and FEBS Letters.

In The Last Decade

Meng Ling Choong

23 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Ling Choong Singapore 14 693 284 265 198 168 24 1.0k
Jennifer Callahan United States 11 467 0.7× 290 1.0× 330 1.2× 402 2.0× 294 1.8× 19 1.0k
Erica N Evans United States 19 487 0.7× 288 1.0× 232 0.9× 75 0.4× 187 1.1× 44 1.2k
Andrew G. Muntean United States 20 1.8k 2.5× 180 0.6× 715 2.7× 190 1.0× 160 1.0× 38 2.1k
Seiichi Okabe Japan 18 404 0.6× 287 1.0× 417 1.6× 66 0.3× 273 1.6× 92 969
Monica Pallis United Kingdom 23 674 1.0× 168 0.6× 590 2.2× 91 0.5× 509 3.0× 61 1.3k
Margarete Zaborski Germany 20 660 1.0× 346 1.2× 608 2.3× 123 0.6× 306 1.8× 43 1.5k
Sebastian Herzog Germany 21 713 1.0× 214 0.8× 296 1.1× 226 1.1× 241 1.4× 43 1.4k
Taina Jaatinen Finland 17 332 0.5× 142 0.5× 185 0.7× 67 0.3× 105 0.6× 28 750
Yosuke Minami Japan 22 802 1.2× 355 1.3× 812 3.1× 148 0.7× 395 2.4× 103 1.6k
Mònica López‐Guerra Spain 21 737 1.1× 481 1.7× 186 0.7× 132 0.7× 331 2.0× 61 1.3k

Countries citing papers authored by Meng Ling Choong

Since Specialization
Citations

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

Fields of papers citing papers by Meng Ling Choong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng Ling Choong. 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 Meng Ling Choong. The network helps show where Meng Ling Choong may publish in the future.

Co-authorship network of co-authors of Meng Ling Choong

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Ling Choong. A scholar is included among the top collaborators of Meng Ling Choong 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 Meng Ling Choong. Meng Ling Choong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Qiwei, Weijun Xu, Elizabeth Yihui Ng, et al.. (2024). Identification of small‐molecule binding sites of a ubiquitin‐conjugating enzyme‐UBE2T through fragment‐based screening. Protein Science. 33(3). e4904–e4904. 6 indexed citations
2.
Koay, Ann, Anna Ngo, Yan Li, et al.. (2019). Targeting the Bacterial Epitranscriptome for Antibiotic Development: Discovery of Novel tRNA-(N1G37) Methyltransferase (TrmD) Inhibitors. ACS Infectious Diseases. 5(3). 326–335. 37 indexed citations
3.
Lakshmanan, Umayal, Jeffrey Hill, Meng Ling Choong, et al.. (2018). Novel Acetamide Indirectly Targets Mycobacterial Transporter MmpL3 by Proton Motive Force Disruption. Frontiers in Microbiology. 9. 2960–2960. 31 indexed citations
4.
Ngo, Anna, Ann Koay, C. Pecquet, et al.. (2016). A Phenotypic Screen for Small-Molecule Inhibitors of Constitutively Active Mutant Thrombopoietin Receptor Implicated in Myeloproliferative Neoplasms. Combinatorial Chemistry & High Throughput Screening. 19(10). 824–833.
5.
Chachoua, Ilyas, C. Pecquet, Mira El-Khoury, et al.. (2015). Thrombopoietin receptor activation by myeloproliferative neoplasm associated calreticulin mutants. Blood. 127(10). 1325–1335. 223 indexed citations
6.
7.
Choong, Meng Ling, Tuan Zea Tan, Sravanthy Manesh, et al.. (2014). Molecular Integrative Clustering of Asian Gastric Cell Lines Revealed Two Distinct Chemosensitivity Clusters. PLoS ONE. 9(10). e111146–e111146. 2 indexed citations
8.
Choong, Meng Ling, et al.. (2014). Characterization of ductal carcinoma in situ cell lines established from breast tumor of a Singapore Chinese patient. Cancer Cell International. 14(1). 94–94. 10 indexed citations
9.
Choong, Meng Ling, C. Pecquet, Vishal Pendharkar, et al.. (2013). Combination treatment for myeloproliferative neoplasms using JAK and pan‐class I PI3K inhibitors. Journal of Cellular and Molecular Medicine. 17(11). 1397–1409. 46 indexed citations
10.
Brown, Christopher J., Soo Tng Quah, Amanda M. Goh, et al.. (2012). Stapled Peptides with Improved Potency and Specificity That Activate p53. ACS Chemical Biology. 8(3). 506–512. 169 indexed citations
11.
Choong, Meng Ling, Henry C. Yang, May Ann Lee, & David P. Lane. (2009). Specific activation of the p53 pathway by low dose actinomycin D: A new route to p53 based cyclotherapy. Cell Cycle. 8(17). 2810–2818. 110 indexed citations
12.
Choong, Meng Ling, Henry Yang, & Ian McNiece. (2007). MicroRNA expression profiling during human cord blood-derived CD34 cell erythropoiesis. Experimental Hematology. 35(4). 551–564. 179 indexed citations
13.
Choong, Meng Ling, et al.. (2004). Microenvironment-driven changes in the expression profile of hematopoietic cobblestone area-forming cells. Annals of Hematology. 83(3). 160–169. 5 indexed citations
14.
Ren, Ee Chee, et al.. (2004). Hcc-1 is a novel component of the nuclear matrix with growth inhibitory function. Cellular and Molecular Life Sciences. 61(17). 2264–2273. 31 indexed citations
15.
Choong, Meng Ling. (2004). LIX: a chemokine with a role in hematopoietic stem cells maintenance. Cytokine. 25(6). 239–245. 26 indexed citations
16.
Choong, Meng Ling, Amabel C. L. Tan, Biao Luo, & Harvey F. Lodish. (2003). A novel role for proliferin‐2 in the ex vivo expansion of hematopoietic stem cells. FEBS Letters. 550(1-3). 155–162. 20 indexed citations
17.
Choong, Meng Ling, Li Kiang Tan, Siaw Ling Lo, et al.. (2001). An integrated approach in the discovery and characterization of a novel nuclear protein over‐expressed in liver and pancreatic tumors. FEBS Letters. 496(2-3). 109–116. 32 indexed citations
18.
Choong, Meng Ling, et al.. (1999). Apolipoprotein B 5’-Ins/Del and 3’-VNTR Polymorphisms in Chinese, Malay and Indian Singaporeans. Human Heredity. 49(1). 31–40. 15 indexed citations
19.
20.
Choong, Meng Ling, et al.. (1995). Influence of Race, Age and Sex on the Lymphocyte Subsets in Peripheral Blood of Healthy Malaysian Adults. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 32(6). 532–539. 47 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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