Vincent Kwok Lim Lam

1.2k total citations
16 papers, 734 citations indexed

About

Vincent Kwok Lim Lam is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Vincent Kwok Lim Lam has authored 16 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Vincent Kwok Lim Lam's work include Genetic Associations and Epidemiology (5 papers), Diet, Metabolism, and Disease (3 papers) and RNA modifications and cancer (3 papers). Vincent Kwok Lim Lam is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Diet, Metabolism, and Disease (3 papers) and RNA modifications and cancer (3 papers). Vincent Kwok Lim Lam collaborates with scholars based in Hong Kong, United States and China. Vincent Kwok Lim Lam's co-authors include Juliana C.N. Chan, Maggie Ng, Ronald C.W., Claudia H.T. Tam, Emma Scott, Daniel Harris, Ryan E. Mills, Eugene J. Gardner, Scott E. Devine and W. Stephen Pittard and has published in prestigious journals such as PLoS ONE, Biomaterials and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Vincent Kwok Lim Lam

14 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Kwok Lim Lam Hong Kong 12 361 306 128 114 108 16 734
Shu Zhu China 15 516 1.4× 131 0.4× 70 0.5× 77 0.7× 28 0.3× 39 820
Hans Knoblauch Germany 22 608 1.7× 670 2.2× 29 0.2× 260 2.3× 207 1.9× 40 1.3k
Alison Hugill United Kingdom 12 484 1.3× 203 0.7× 38 0.3× 103 0.9× 243 2.3× 14 767
Márcia Mattos Gonçalves Pimentel Brazil 18 365 1.0× 338 1.1× 42 0.3× 30 0.3× 33 0.3× 65 852
Adolfo D. Garnica United States 12 464 1.3× 318 1.0× 41 0.3× 34 0.3× 47 0.4× 28 815
Stacey Melquist United States 17 438 1.2× 101 0.3× 165 1.3× 194 1.7× 337 3.1× 31 1.3k
Hélène Fournier Canada 11 177 0.5× 199 0.7× 15 0.1× 314 2.8× 238 2.2× 12 744
Vladislav Bugaj United States 20 874 2.4× 74 0.2× 15 0.1× 290 2.5× 86 0.8× 24 1.2k
Pernille Bøttger Denmark 10 259 0.7× 97 0.3× 21 0.2× 18 0.2× 32 0.3× 11 490
Kati Donner Finland 21 874 2.4× 146 0.5× 14 0.1× 128 1.1× 48 0.4× 35 1.4k

Countries citing papers authored by Vincent Kwok Lim Lam

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Kwok Lim Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent Kwok Lim Lam. 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 Vincent Kwok Lim Lam. The network helps show where Vincent Kwok Lim Lam may publish in the future.

Co-authorship network of co-authors of Vincent Kwok Lim Lam

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

All Works

16 of 16 papers shown
1.
Marrone, Kristen A., Joseph C. Murray, Josephine Feliciano, et al.. (2025). Distinct size and spatial distribution patterns of ALK-inhibitor-naïve versus ALK-inhibitor exposed ALK-positive NSCLC brain metastases. Journal of Neuro-Oncology. 175(2). 561–569.
2.
Feliciano, Josephine, Christine L. Hann, Vincent Kwok Lim Lam, et al.. (2024). First-line Osimertinib for Lung Cancer With Uncommon EGFR Exon 19 Mutations and EGFR Compound Mutations. JTO Clinical and Research Reports. 5(6). 100686–100686.
3.
Lam, Vincent Kwok Lim, et al.. (2021). Rac1-GTPase regulates compression-induced actin protrusions (CAPs) of mesenchymal stem cells in 3D collagen micro-tissues. Biomaterials. 274. 120829–120829. 7 indexed citations
4.
Gardner, Eugene J., Vincent Kwok Lim Lam, Daniel Harris, et al.. (2017). The Mobile Element Locator Tool (MELT): population-scale mobile element discovery and biology. Genome Research. 27(11). 1916–1929. 205 indexed citations
5.
C.W., Ronald, Wing Yee So, Claudia H.T. Tam, et al.. (2014). Genetic variants for type 2 diabetes and new-onset cancer in Chinese with type 2 diabetes. Diabetes Research and Clinical Practice. 103(2). 328–337. 9 indexed citations
6.
Tam, Claudia H. T., Ying Wang, Vincent Kwok Lim Lam, et al.. (2013). Use of Net Reclassification Improvement (NRI) Method Confirms The Utility of Combined Genetic Risk Score to Predict Type 2 Diabetes. PLoS ONE. 8(12). e83093–e83093. 29 indexed citations
7.
Tam, Claudia H.T., Ying Wang, Heung Man Lee, et al.. (2010). Common Polymorphisms in MTNR1B, G6PC2 and GCK Are Associated with Increased Fasting Plasma Glucose and Impaired Beta-Cell Function in Chinese Subjects. PLoS ONE. 5(7). e11428–e11428. 59 indexed citations
8.
Ng, Maggie, Vincent Kwok Lim Lam, Anthony W.H. Chan, et al.. (2010). Association of the POU class 2 homeobox 1 gene (POU2F1) with susceptibility to Type 2 diabetes in Chinese populations. Diabetic Medicine. 27(12). 1443–1449. 16 indexed citations
9.
Ng, Maggie, Claudia H.T. Tam, Wing Yee So, et al.. (2010). Implication of Genetic Variants NearNEGR1,SEC16B,TMEM18,ETV5/DGKG,GNPDA2,LIN7C/BDNF,MTCH2,BCDIN3D/FAIM2,SH2B1,FTO,MC4R, andKCTD15with Obesity and Type 2 Diabetes in 7705 Chinese. The Journal of Clinical Endocrinology & Metabolism. 95(5). 2418–2425. 106 indexed citations
10.
Tam, Claudia H.T., Ronald C.W., Wing Yee So, et al.. (2008). Interaction Effect of Genetic Polymorphisms in Glucokinase (GCK) and Glucokinase Regulatory Protein (GCKR) on Metabolic Traits in Healthy Chinese Adults and Adolescents. Diabetes. 58(3). 765–769. 49 indexed citations
11.
Ng, Maggie, Claudia H.T. Tam, Vincent Kwok Lim Lam, et al.. (2007). Replication and Identification of Novel Variants at TCF7L2 Associated with Type 2 Diabetes in Hong Kong Chinese. The Journal of Clinical Endocrinology & Metabolism. 92(9). 3733–3737. 85 indexed citations
12.
Lam, Vincent Kwok Lim, et al.. (2005). Tilapia metallothionein genes: PCR-cloning and gene expression studies. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1731(3). 191–201. 31 indexed citations
13.
Ng, Maggie, Kazuaki Miyake, Wing Yan So, et al.. (2005). The linkage and association of the gene encoding upstream stimulatory factor 1 with type 2 diabetes and metabolic syndrome in the Chinese population. Diabetologia. 48(10). 2018–2024. 51 indexed citations
15.
Ng, Chee H., et al.. (2001). Cytochrome P450 2D6 Genotyping and Association with Tardive Dyskinesia in Chinese Schizophrenic Patients. Pharmacopsychiatry. 34(6). 238–241. 33 indexed citations
16.
Lam, Linda, et al.. (2001). Dopamine D3 receptor gene and tardive dyskinesia in Chinese schizophrenic patients. Journal of Neural Transmission. 108(6). 671–677. 43 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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