Chad Garner

4.4k total citations
62 papers, 2.7k citations indexed

About

Chad Garner is a scholar working on Genetics, Molecular Biology and Genetics. According to data from OpenAlex, Chad Garner has authored 62 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 16 papers in Molecular Biology and 16 papers in Genetics. Recurrent topics in Chad Garner's work include Genetic Associations and Epidemiology (16 papers), Hemoglobinopathies and Related Disorders (15 papers) and Iron Metabolism and Disorders (11 papers). Chad Garner is often cited by papers focused on Genetic Associations and Epidemiology (16 papers), Hemoglobinopathies and Related Disorders (15 papers) and Iron Metabolism and Disorders (11 papers). Chad Garner collaborates with scholars based in United States, United Kingdom and France. Chad Garner's co-authors include Swee Lay Thein, Steve Best, Tim D. Spector, Stephan Menzel, Montgomery Slatkin, Martin Farrall, Fumihiko Matsuda, Masao Yamaguchi, Helen Rooks and Marian L. Waterman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Chad Garner

61 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad Garner United States 27 1.1k 889 667 615 362 62 2.7k
Janette Lamb United States 24 838 0.8× 659 0.7× 475 0.7× 487 0.8× 211 0.6× 45 2.6k
Guillaume Lettre Canada 32 2.2k 2.1× 1.6k 1.8× 1.1k 1.6× 1.1k 1.7× 635 1.8× 86 4.7k
R. Kato United States 26 1.1k 1.1× 949 1.1× 514 0.8× 232 0.4× 110 0.3× 79 3.1k
Sonja Pavlović Serbia 23 741 0.7× 344 0.4× 371 0.6× 257 0.4× 155 0.4× 180 1.9k
Betty S. Pace United States 28 1.3k 1.2× 1.3k 1.4× 775 1.2× 116 0.2× 345 1.0× 112 2.3k
Theodosia A. Kalfa United States 27 818 0.8× 661 0.7× 676 1.0× 221 0.4× 282 0.8× 111 2.5k
Helen V. New United Kingdom 21 1.0k 0.9× 276 0.3× 365 0.5× 162 0.3× 281 0.8× 50 2.5k
Marieke J. H. Coenen Netherlands 34 1.1k 1.0× 249 0.3× 217 0.3× 463 0.8× 146 0.4× 131 3.2k
Jacob C. Ulirsch United States 24 1.5k 1.4× 272 0.3× 250 0.4× 540 0.9× 128 0.4× 43 2.4k
Stefano Duga Italy 34 1.2k 1.2× 518 0.6× 1.3k 1.9× 305 0.5× 55 0.2× 136 4.0k

Countries citing papers authored by Chad Garner

Since Specialization
Citations

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

Fields of papers citing papers by Chad Garner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Garner

This figure shows the co-authorship network connecting the top 25 collaborators of Chad Garner. A scholar is included among the top collaborators of Chad Garner 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 Chad Garner. Chad Garner 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.
Greenwald, William W., Niels Klitgord, Victor Seguritan, et al.. (2017). Utilization of defined microbial communities enables effective evaluation of meta-genomic assemblies. BMC Genomics. 18(1). 296–296. 19 indexed citations
2.
Telenti, Amalio, Levi Pierce, William Biggs, et al.. (2016). Deep sequencing of 10,000 human genomes. Proceedings of the National Academy of Sciences. 113(42). 11901–11906. 195 indexed citations
3.
Park, Hannah Lui, Argyrios Ziogas, Jenny Chang, et al.. (2016). Novel polymorphisms in caspase-8 are associated with breast cancer risk in the California Teachers Study. BMC Cancer. 16(1). 14–14. 18 indexed citations
4.
Pate, Kira T., Chiara Stringari, Kehui Wang, et al.. (2014). Wnt signaling directs a metabolic program of glycolysis and angiogenesis in colon cancer. The EMBO Journal. 33(13). 1454–1473. 354 indexed citations
5.
McLaren, Christine E., Stela McLachlan, Chad Garner, et al.. (2012). Associations between Single Nucleotide Polymorphisms in Iron-Related Genes and Iron Status in Multiethnic Populations. PLoS ONE. 7(6). e38339–e38339. 43 indexed citations
6.
Ahn, Richard, Yuan Chun Ding, Joseph A. Murray, et al.. (2012). Association Analysis of the Extended MHC Region in Celiac Disease Implicates Multiple Independent Susceptibility Loci. PLoS ONE. 7(5). e36926–e36926. 27 indexed citations
7.
Garner, Chad. (2011). Confounded by sequencing depth in association studies of rare alleles. Genetic Epidemiology. 35(4). 261–268. 21 indexed citations
8.
Garner, Chad. (2010). A statistical method for scanning the genome for regions with rare disease alleles. Genetic Epidemiology. 34(5). 386–395. 3 indexed citations
9.
Garner, Chad, Yuan Chun Ding, Esther M. John, et al.. (2008). Genetic variation in IGFBP2 and IGFBP5 is associated with breast cancer in populations of African descent. Human Genetics. 123(3). 247–255. 26 indexed citations
10.
Garner, Chad. (2007). Upward bias in odds ratio estimates from genome‐wide association studies. Genetic Epidemiology. 31(4). 288–295. 68 indexed citations
11.
Lai, Mei I, Jie Jiang, Nicholas Silver, et al.. (2006). α‐Haemoglobin stabilising protein is a quantitative trait gene that modifies the phenotype of β‐thalassaemia. British Journal of Haematology. 133(6). 675–682. 54 indexed citations
12.
Garner, Chad. (2006). The Use of Random Controls in Genetic Association Studies. Human Heredity. 61(1). 22–26. 9 indexed citations
13.
Gerovassili, Ageliki, Chad Garner, K. H. Nicolaides, Swee Lay Thein, & David C. Rees. (2006). Free fetal DNA in maternal circulation: a potential prognostic marker for chromosomal abnormalities?. Prenatal Diagnosis. 27(2). 104–110. 21 indexed citations
14.
Garner, Chad, Steve Best, Stephan Menzel, et al.. (2005). Two candidate genes for low platelet count identified in an Asian Indian kindred by genome-wide linkage analysis: glycoprotein IX and thrombopoietin. European Journal of Human Genetics. 14(1). 101–108. 13 indexed citations
15.
Neuhausen, Susan L., Martha L. Slattery, Chad Garner, et al.. (2005). Prostate cancer risk andIRS1, IRS2, IGF1, andINS polymorphisms: Strong association ofIRS1 G972R variant and cancer risk. The Prostate. 64(2). 168–174. 47 indexed citations
16.
Garner, Chad, Tracy Dew, Roy Sherwood, David C. Rees, & Swee Lay Thein. (2003). Heterocellular hereditary persistence of fetal haemoglobin affects the haematological parameters of β‐thalassaemia trait. British Journal of Haematology. 123(2). 353–358. 14 indexed citations
17.
Best, Steve, Filippo Salvati, Chad Garner, et al.. (2003). Lamin B‐receptor mutations in Pelger–Huët anomaly. British Journal of Haematology. 123(3). 542–544. 39 indexed citations
18.
Garner, Chad, L. Alison McInnes, Susan K. Service, et al.. (2001). Linkage Analysis of a Complex Pedigree with Severe Bipolar Disorder, Using a Markov Chain Monte Carlo Method. The American Journal of Human Genetics. 68(4). 1061–1064. 38 indexed citations
19.
Schliekelman, Paul, Chad Garner, & Montgomery Slatkin. (2001). Natural selection and resistance to HIV. Nature. 411(6837). 545–546. 45 indexed citations
20.
Chavanas, Stéphane, Chad Garner, Christine Bodemer, et al.. (2000). Localization of the Netherton Syndrome Gene to Chromosome 5q32, by Linkage Analysis and Homozygosity Mapping. The American Journal of Human Genetics. 66(3). 914–921. 89 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

Breakdown of academic impact, for papers by Janette Lamb Breakdown of academic impact, for papers by Guillaume Lettre Breakdown of academic impact, for papers by R. Kato Breakdown of academic impact, for papers by Sonja Pavlović Breakdown of academic impact, for papers by Betty S. Pace Breakdown of academic impact, for papers by Theodosia A. Kalfa Breakdown of academic impact, for papers by Helen V. New Breakdown of academic impact, for papers by Marieke J. H. Coenen Breakdown of academic impact, for papers by Jacob C. Ulirsch Breakdown of academic impact, for papers by Stefano Duga
Rankless by CCL
2026