Weil Lai

1.5k citations
18 papers · 1.1k · h-index 13

Impact in

  • Genetics top 5%
    • Genomic variations and chromosomal abnormalities
    • Gene expression and cancer classification
    • Genomics and Chromatin Dynamics
    • Bioinformatics and Genomic Networks
    • Epigenetics and DNA Methylation

Papers in

Weil Lai

18 papers receiving 1.1k citations

Peers

Weil Lai
Comparison fields: 5 of 106
  • Genetics 386
  • Molecular Biology 732
  • Genetics 87
  • Cancer Research 118
  • Aging 13
Replace Mónica Álvarez‐Fernández with:
Mónica Álvarez‐Fernández Spain
Cricket A. Sloan United States
Alexis R. Barr United Kingdom
Forrest Y. Tanaka United States
Laura F. Campitelli Canada
Scott McCuine United States
Amirali Kia United States
Mervi Heiskanen Finland
Amy Tang United States
Weil Lai relative to Mónica Álvarez‐Fernández Spain Mónica Álvarez‐Fernández's profile →
Citations per field
00.5×1.5×2.1×
Mónica Álvarez‐Fernández · 1×
Citations per year

Countries citing papers authored by Weil Lai

Since Specialization
Citations

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

Fields of papers citing papers by Weil Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005294
2 2006170
3 2007132
4 2008118
5 2008116
6 200694
7 201647
8 200835
9 201621
10 200920
11 200716
12 201613
13 201612
14 20169
15 20165
16 20164
17 20064
18 20164

About Weil Lai

Weil Lai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Genetics and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (4 papers), RNA Research and Splicing (3 papers), Adipose Tissue and Metabolism (3 papers), Gene expression and cancer classification (3 papers), Pediatric Urology and Nephrology Studies (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Genomics and Chromatin Dynamics (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Genetics (386 citations), Molecular Biology (732 citations), Genetics (87 citations), Cancer Research (118 citations) and Aging (13 citations). Weil Lai has collaborated with scholars based in United States and Italy. Frequent co-authors include Peter J. Park, Mark D. Johnson, Raju Kucherlapati, Mitzi I. Kuroda, Erica Larschan, Artyom A. Alekseyenko, Isaac S. Kohane, Simon Kasif, Sek Won Kong and Manway Liu. Their work appears in journals such as Bioinformatics, British Journal of Urology, Journal of surgical education, Scientific Reports and Journal of Endourology.

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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