Gary J. Latham

3.6k total citations · 1 hit paper
52 papers, 2.7k citations indexed

About

Gary J. Latham is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Gary J. Latham has authored 52 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 23 papers in Genetics and 16 papers in Cancer Research. Recurrent topics in Gary J. Latham's work include Genetics and Neurodevelopmental Disorders (17 papers), Autism Spectrum Disorder Research (12 papers) and DNA Repair Mechanisms (10 papers). Gary J. Latham is often cited by papers focused on Genetics and Neurodevelopmental Disorders (17 papers), Autism Spectrum Disorder Research (12 papers) and DNA Repair Mechanisms (10 papers). Gary J. Latham collaborates with scholars based in United States, Italy and United Kingdom. Gary J. Latham's co-authors include Heidi J. Peltier, Andrew G. Hadd, Sachin Sah, Liangjing Chen, Flora Tassone, R. Stephen Lloyd, Stela Filipovic-Sadic, Peter H. von Hippel, Paul J. Hagerman and Paola Pietroni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Gary J. Latham

50 papers receiving 2.7k citations

Hit Papers

Normalization of microRNA expression levels in quantitati... 2008 2026 2014 2020 2008 200 400 600

Peers

Gary J. Latham
Scott A. Tenenbaum United States
Giovanni Stefani United States
Kirk B. Jensen United States
Shaun Webb United Kingdom
Guy Froyen Belgium
Peter J. Skene United States
Ru Cao United States
John J. Schwarz United States
H.F. Willard United States
Scott A. Tenenbaum United States
Gary J. Latham
Citations per year, relative to Gary J. Latham Gary J. Latham (= 1×) peers Scott A. Tenenbaum

Countries citing papers authored by Gary J. Latham

Since Specialization
Citations

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

Fields of papers citing papers by Gary J. Latham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary J. Latham. 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 Gary J. Latham. The network helps show where Gary J. Latham may publish in the future.

Co-authorship network of co-authors of Gary J. Latham

This figure shows the co-authorship network connecting the top 25 collaborators of Gary J. Latham. A scholar is included among the top collaborators of Gary J. Latham 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 Gary J. Latham. Gary J. Latham 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.
Hall, B. D., et al.. (2025). A Dual-Mode Targeted Nanopore Sequencing Assay for Comprehensive SMN1 and SMN2 Variant Analysis. Journal of Molecular Diagnostics. 27(6). 502–510.
2.
Milligan, John N., Jessica L. Larson, Stela Filipovic-Sadic, et al.. (2021). Multisite Evaluation and Validation of a Sensitive Diagnostic and Screening System for Spinal Muscular Atrophy that Reports SMN1 and SMN2 Copy Number, along with Disease Modifier and Gene Duplication Variants. Journal of Molecular Diagnostics. 23(6). 753–764. 6 indexed citations
3.
Nolin, Sarah L., Anne Glicksman, Emily G. Allen, et al.. (2019). Expansions and contractions of the FMR1 CGG repeat in 5,508 transmissions of normal, intermediate, and premutation alleles. American Journal of Medical Genetics Part A. 179(7). 1148–1156. 47 indexed citations
4.
Lee, Stacey, Jennifer Taylor, Andrew G. Hadd, et al.. (2019). Validation of Fragile X Screening in the Newborn Population Using a Fit-for-Purpose FMR1 PCR Assay System. Journal of Molecular Diagnostics. 22(3). 346–354. 8 indexed citations
5.
Blidner, Richard, Brian C. Haynes, Stephen Hyter, et al.. (2018). Design, Optimization, and Multisite Evaluation of a Targeted Next-Generation Sequencing Assay System for Chimeric RNAs from Gene Fusions and Exon-Skipping Events in Non–Small Cell Lung Cancer. Journal of Molecular Diagnostics. 21(2). 352–365. 10 indexed citations
6.
Zhu, Huiping, S. Gokul, & Gary J. Latham. (2018). P3.09-20 A Simple and Versatile Next-Generation Sequencing Technology for Co-Detection of RNA Structural Variants and DNA Mutations in Lung Cancer. Journal of Thoracic Oncology. 13(10). S955–S956. 1 indexed citations
7.
Chen, Xiaoli, Jingmin Wang, Hua Xie, et al.. (2015). Fragile X syndrome screening in Chinese children with unknown intellectual developmental disorder. BMC Pediatrics. 15(1). 77–77. 10 indexed citations
8.
Pretto, Dalyir, Joyce Lo, Ru Cao, et al.. (2014). CGG allele size somatic mosaicism and methylation in FMR1 premutation alleles. Journal of Medical Genetics. 51(5). 309–318. 66 indexed citations
9.
Latham, Gary J., Justine Coppinger, Andrew G. Hadd, & Sarah L. Nolin. (2014). The role of AGG interruptions in fragile X repeat expansions: a twenty-year perspective. Frontiers in Genetics. 5. 244–244. 42 indexed citations
10.
Yrigollen, Carolyn M., Loreto Martorell, Blythe Durbin‐Johnson, et al.. (2014). AGG interruptions and maternal age affect FMR1 CGG repeat allele stability during transmission. Journal of Neurodevelopmental Disorders. 6(1). 24–24. 82 indexed citations
11.
Nolin, Sarah L., Sachin Sah, Anne Glicksman, et al.. (2013). Fragile X AGG analysis provides new risk predictions for 45–69 repeat alleles. American Journal of Medical Genetics Part A. 161(4). 771–778. 99 indexed citations
13.
Hadd, Andrew G., Ashish Choudhary, Sachin Sah, et al.. (2013). Targeted, High-Depth, Next-Generation Sequencing of Cancer Genes in Formalin-Fixed, Paraffin-Embedded and Fine-Needle Aspiration Tumor Specimens. Journal of Molecular Diagnostics. 15(2). 234–247. 141 indexed citations
14.
Latham, Gary J.. (2010). Normalization of MicroRNA Quantitative RT-PCR Data in Reduced Scale Experimental Designs. Methods in molecular biology. 667. 19–31. 52 indexed citations
16.
Peltier, Heidi J. & Gary J. Latham. (2008). Normalization of microRNA expression levels in quantitative RT-PCR assays: Identification of suitable reference RNA targets in normal and cancerous human solid tissues. RNA. 14(5). 844–852. 682 indexed citations breakdown →
17.
Feng, Dong, et al.. (1999). Interactions of Bacteriophage T4-coded Primase (gp61) with the T4 Replication Helicase (gp41) and DNA in Primosome Formation. Journal of Biological Chemistry. 274(38). 27287–27298. 28 indexed citations
18.
Pietroni, Paola, Mark C. Young, Gary J. Latham, & Peter H. von Hippel. (1997). Structural Analyses of gp45 Sliding Clamp Interactions during Assembly of the Bacteriophage T4 DNA Polymerase Holoenzyme. Journal of Biological Chemistry. 272(50). 31666–31676. 45 indexed citations
19.
Latham, Gary J., et al.. (1997). Structural Analyses of gp45 Sliding Clamp Interactions during Assembly of the Bacteriophage T4 DNA Polymerase Holoenzyme. Journal of Biological Chemistry. 272(50). 31685–31692. 29 indexed citations
20.
Latham, Gary J., Constance M. Harris, Thomas M. Harris, & R. Stephen Lloyd. (1995). The Efficiency of Translesion Synthesis Past Single Styrene Oxide DNA Adducts in Vitro Is Polymerase-Specific. Chemical Research in Toxicology. 8(3). 422–430. 17 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026