Daniel Lai

661 total citations · 1 hit paper
5 papers, 550 citations indexed

About

Daniel Lai is a scholar working on Molecular Biology, Genetics and Nature and Landscape Conservation. According to data from OpenAlex, Daniel Lai has authored 5 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Nature and Landscape Conservation. Recurrent topics in Daniel Lai's work include CRISPR and Genetic Engineering (2 papers), Molecular Biology Techniques and Applications (2 papers) and RNA Interference and Gene Delivery (1 paper). Daniel Lai is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Molecular Biology Techniques and Applications (2 papers) and RNA Interference and Gene Delivery (1 paper). Daniel Lai collaborates with scholars based in New Zealand. Daniel Lai's co-authors include Donald R. Love, Andrew Dodd, Rongying Tang, Warren C. McNabb, Ivone Leong, Ross A. Johnson, Jennifer M. Love, Craig D. Millar, M. Teresa de Andrés and Ernest Wu and has published in prestigious journals such as Birth Defects Research Part C Embryo Today Reviews, Acta Biochimica et Biophysica Sinica and Forensic science international. Genetics supplement series.

In The Last Decade

Daniel Lai

5 papers receiving 546 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.

Validation of Zebrafish (<italic>Danio rerio</italic>) Reference Genes for Quantitative Real-time RT-PCR Normalization

2007 528 citations Rongying Tang, Andrew Dodd et al. Acta Biochimica et Biophysica Sinica profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Lai New Zealand	4	272	142	98	81	63	5	550
Agnès Degrave France	7	409 1.5×	168 1.2×	70 0.7×	94 1.2×	37 0.6×	7	603
Joseph A. Bedell United States	7	514 1.9×	225 1.6×	68 0.7×	182 2.2×	68 1.1×	7	936
Mary D. Kinkel United States	10	294 1.1×	312 2.2×	91 0.9×	132 1.6×	31 0.5×	14	752
Igor Kondrychyn Singapore	15	483 1.8×	258 1.8×	55 0.6×	124 1.5×	71 1.1×	23	779
Zhongan Yang United States	16	573 2.1×	190 1.3×	89 0.9×	227 2.8×	137 2.2×	28	990
Samuel M. Peterson United States	15	317 1.2×	219 1.5×	57 0.6×	119 1.5×	266 4.2×	26	840
Stefani C. Eames United States	7	178 0.7×	251 1.8×	71 0.7×	107 1.3×	25 0.4×	7	539
Oriane Marchand France	9	392 1.4×	145 1.0×	91 0.9×	223 2.8×	51 0.8×	12	845
Nathalia G. Holtzman United States	12	468 1.7×	253 1.8×	33 0.3×	80 1.0×	46 0.7×	15	693

Countries citing papers authored by Daniel Lai

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Lai. A scholar is included among the top collaborators of Daniel 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 Daniel Lai. Daniel 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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5 of 5 papers shown

1.

Lai, Daniel, et al.. (2013). A Streamlined Protocol for Molecular Testing of the DMD Gene within a Diagnostic Laboratory: A Combination of Array Comparative Genomic Hybridization and Bidirectional Sequence Analysis. PubMed. 2013. 1–7. 6 indexed citations

2.

Lai, Daniel & Donald R. Love. (2012). Automation of a primer design and evaluation pipeline for subsequent sequencing of the coding regions of all human Refseq genes. Bioinformation. 8(8). 365–368. 4 indexed citations

3.

Leong, Ivone, et al.. (2011). Targeted mutagenesis of zebrafish: Use of zinc finger nucleases. Birth Defects Research Part C Embryo Today Reviews. 93(3). 249–255. 10 indexed citations

4.

Lai, Daniel, et al.. (2008). Discovery of three related females who type XY at the amelogenin locus. Forensic science international. Genetics supplement series. 1(1). 577–579. 2 indexed citations

5.

Tang, Rongying, Andrew Dodd, Daniel Lai, Warren C. McNabb, & Donald R. Love. (2007). Validation of Zebrafish (<italic>Danio rerio</italic>) Reference Genes for Quantitative Real-time RT-PCR Normalization. Acta Biochimica et Biophysica Sinica. 39(5). 384–390. 528 indexed citations breakdown →

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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