Carmen Lai

1.2k total citations · 1 hit paper
14 papers, 666 citations indexed

About

Carmen Lai is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Carmen Lai has authored 14 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Artificial Intelligence and 4 papers in Genetics. Recurrent topics in Carmen Lai's work include Gene expression and cancer classification (5 papers), Genetic Associations and Epidemiology (2 papers) and Molecular Biology Techniques and Applications (2 papers). Carmen Lai is often cited by papers focused on Gene expression and cancer classification (5 papers), Genetic Associations and Epidemiology (2 papers) and Molecular Biology Techniques and Applications (2 papers). Carmen Lai collaborates with scholars based in Netherlands, United States and Czechia. Carmen Lai's co-authors include Marcel Reinders, Lodewyk F.A. Wessels, Laura J. van’t Veer, Alicia Y. Zhou, Eric S. Lander, Deanna Brockman, Minxian Wang, Kenney Ng, Akl C. Fahed and Patrick T. Ellinor and has published in prestigious journals such as Nature Communications, Biomaterials and Clinical Cancer Research.

In The Last Decade

Carmen Lai

14 papers receiving 634 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions

2020 252 citations Akl C. Fahed, Minxian Wang et al. Nature Communications profile →

Peers

Carmen Lai

MB

GENET

AI

CVPR

CR

Arpita Biswas India

Daniel Quang United States

James Lowey United States

Ming Feng China

Felix Graßmann Germany

Yongjun Piao China

Jenn-Hwai Yang Taiwan

Jun Xiang China

Ming Jer Tsai United States

Willem Jacob Belgium

Arpita Biswas India

Carmen Lai

406 ×1.6

MB

129 ×0.6

GENET

93 ×0.6

AI

53 ×0.6

CVPR

16 ×0.2

CR

Citations per year, relative to Carmen Lai Carmen Lai (= 1×) peers Arpita Biswas

Countries citing papers authored by Carmen Lai

Since Specialization

Citations

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

Fields of papers citing papers by Carmen Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carmen Lai. 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 Carmen Lai. The network helps show where Carmen Lai may publish in the future.

Co-authorship network of co-authors of Carmen Lai

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

All Works

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14 of 14 papers shown

1.

Vila, Olaia F., P. Stephen, Keith Yeager, et al.. (2021). Bioengineered optogenetic model of human neuromuscular junction. Biomaterials. 276. 121033–121033. 27 indexed citations

2.

Fahed, Akl C., Minxian Wang, Julian R. Homburger, et al.. (2020). Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions. Nature Communications. 11(1). 3635–3635. 252 indexed citations breakdown →

3.

Lai, Carmen, Anjali D. Zimmer, Robert O’Connor, et al.. (2020). LEAP: Using machine learning to support variant classification in a clinical setting. Human Mutation. 41(6). 1079–1090. 27 indexed citations

4.

Lee, Han‐Chih Hencher, et al.. (2012). In search of the diagnosis, and the patient: transient galactosemia demystified after 14 years.. PubMed. 23(3). 415–21. 1 indexed citations

5.

Horlings, Hugo M., Carmen Lai, Dimitry S.A. Nuyten, et al.. (2010). Integration of DNA Copy Number Alterations and Prognostic Gene Expression Signatures in Breast Cancer Patients. Clinical Cancer Research. 16(2). 651–663. 48 indexed citations

6.

Paclı́k, Pavel, Carmen Lai, Thomas C.W. Landgrebe, & Robert P. W. Duin. (2010). ROC Analysis and Cost-Sensitive Optimization for Hierarchical Classifiers. lncs 3058. 2977–2980. 1 indexed citations

7.

Lai, Carmen. (2008). Supervised classification and spatial dependency analysis in human cancer using high throughput data. Research Repository (Delft University of Technology). 1 indexed citations

8.

Paclı́k, Pavel, Carmen Lai, Jana Novovičová, & Robert P. W. Duin. (2008). Variance estimation for two-class and multi-class ROC analysis using operating point averaging. Proceedings - International Conference on Pattern Recognition. 1–4. 4 indexed citations

9.

Lai, Carmen, Hugo M. Horlings, Marc J. van de Vijver, et al.. (2007). SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets. BMC Bioinformatics. 8(1). 422–422. 10 indexed citations

10.

Lai, Carmen, Marcel Reinders, Laura J. van’t Veer, & Lodewyk F.A. Wessels. (2006). A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets. BMC Bioinformatics. 7(1). 235–235. 88 indexed citations

11.

Lai, Carmen & Marcel Reinders. (2006). Multivariate gene selection: Does it help. 286. 99–100. 5 indexed citations

12.

Lai, Carmen, et al.. (2006). Pairwise feature evaluation for constructing reduced representations. Pattern Analysis and Applications. 10(1). 55–68. 14 indexed citations

13.

Lai, Carmen, Marcel Reinders, & Lodewyk F.A. Wessels. (2006). Random subspace method for multivariate feature selection. Pattern Recognition Letters. 27(10). 1067–1076. 160 indexed citations

14.

Lai, Carmen, et al.. (2004). A STUDY ON COMBINING IMAGE REPRESENTATIONS FOR IMAGE CLASSIFICATION AND RETRIEVAL. International Journal of Pattern Recognition and Artificial Intelligence. 18(5). 867–890. 28 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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