Chad Brown

641 total citations
23 papers, 440 citations indexed

About

Chad Brown is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Chad Brown has authored 23 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Chad Brown's work include Genetic Associations and Epidemiology (3 papers), Genetic and phenotypic traits in livestock (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). Chad Brown is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Genetic and phenotypic traits in livestock (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). Chad Brown collaborates with scholars based in United States, Canada and France. Chad Brown's co-authors include Alison A. Motsinger‐Reif, John Jack, Ronglin Che, Tammy M. Havener, Howard L. McLeod, Miriam R. Anver, Marisa W. Medina, M. Scott Lucia, Daniel Logsdon and Craig L. Driver and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and American Journal of Public Health.

In The Last Decade

Chad Brown

20 papers receiving 431 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 Brown United States 10 152 121 91 46 46 23 440
Mary S. Elm United States 10 122 0.8× 98 0.8× 30 0.3× 56 1.2× 21 0.5× 16 453
Rihong Cong China 13 177 1.2× 90 0.7× 72 0.8× 38 0.8× 13 0.3× 14 599
Mandana Hasanzad Iran 12 245 1.6× 94 0.8× 86 0.9× 43 0.9× 9 0.2× 70 545
R A Hegele Canada 12 159 1.0× 105 0.9× 91 1.0× 26 0.6× 34 0.7× 26 824
Chiara Novielli Italy 16 213 1.4× 19 0.2× 38 0.4× 15 0.3× 53 1.2× 29 737
Agnese Filippello Italy 18 217 1.4× 53 0.4× 124 1.4× 21 0.5× 37 0.8× 42 745
Ildegarda Campisi Italy 12 118 0.8× 123 1.0× 68 0.7× 28 0.6× 7 0.2× 16 425
Tony T. Wu Taiwan 15 345 2.3× 85 0.7× 216 2.4× 52 1.1× 19 0.4× 42 747
Yii-Der Ida Chen United States 14 162 1.1× 133 1.1× 45 0.5× 52 1.1× 82 1.8× 22 733

Countries citing papers authored by Chad Brown

Since Specialization
Citations

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

Fields of papers citing papers by Chad Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Chad Brown. A scholar is included among the top collaborators of Chad Brown 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 Brown. Chad Brown 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.
Sleet, David A., et al.. (2025). Alcohol Harms, Injuries, and Health: Clinical Implications for Lifestyle Medicine. American Journal of Lifestyle Medicine. 20(3). 332–339.
2.
Hansen, Sonja, et al.. (2024). Sexual and gender minority health: a roadmap for developing evidence-based medical school curricula. SHILAP Revista de lepidopterología. 15(4). 93–114.
3.
Soong, David, Jeran K. Stratford, Hervé Avet‐Loiseau, et al.. (2020). CNV Radar: an improved method for somatic copy number alteration characterization in oncology. BMC Bioinformatics. 21(1). 98–98. 11 indexed citations
4.
Brown, Chad, Christopher B. Fordyce, Gordon A. Francis, et al.. (2020). Lipid-lowering therapy for primary prevention of premature atherosclerotic coronary artery disease: Eligibility, utilization, target achievement, and predictors of initiation. SHILAP Revista de lepidopterología. 2. 100036–100036. 7 indexed citations
5.
6.
Buchkovich, Martin L., Chad Brown, Kimberly Robasky, et al.. (2017). HLAProfiler utilizes k-mer profiles to improve HLA calling accuracy for rare and common alleles in RNA-seq data. Genome Medicine. 9(1). 86–86. 33 indexed citations
7.
Jack, John, George W. Small, Chad Brown, et al.. (2017). Gene expression and linkage analysis implicate CBLB as a mediator of rituximab resistance. The Pharmacogenomics Journal. 18(3). 467–473. 3 indexed citations
8.
Stratford, Jeran K., et al.. (2016). Abstract 5276: Impact of duplicate removal on low frequency NGS somatic variant calling. Cancer Research. 76(14_Supplement). 5276–5276. 2 indexed citations
9.
Abdo, Nour, Menghang Xia, Chad Brown, et al.. (2015). Population-Based in Vitro Hazard and Concentration–Response Assessment of Chemicals: The 1000 Genomes High-Throughput Screening Study. Environmental Health Perspectives. 123(5). 458–466. 74 indexed citations
10.
Che, Ronglin, John Jack, Alison A. Motsinger‐Reif, & Chad Brown. (2014). An adaptive permutation approach for genome-wide association study: evaluation and recommendations for use. BioData Mining. 7(1). 9–9. 73 indexed citations
11.
Brown, Chad, Tammy M. Havener, Marisa W. Medina, et al.. (2014). Genome-Wide Association and Pharmacological Profiling of 29 Anticancer Agents Using Lymphoblastoid Cell Lines. Pharmacogenomics. 15(2). 137–146. 21 indexed citations
12.
Brown, Chad, Tammy M. Havener, Marisa W. Medina, et al.. (2012). Multivariate methods and software for association mapping in dose‐response genome‐wide association studies. BioData Mining. 5(1). 21–21. 17 indexed citations
13.
Brown, Chad, Tammy M. Havener, Marisa W. Medina, et al.. (2012). A genome-wide association analysis of temozolomide response using lymphoblastoid cell lines shows a clinically relevant association with MGMT. Pharmacogenetics and Genomics. 22(11). 796–802. 29 indexed citations
14.
Brown, Chad & Alison A. Motsinger‐Reif. (2012). Software for genome-wide association studies having multivariate responses: Introducing MAGWAS. NCSU Libraries Repository (North Carolina State University Libraries). 2 indexed citations
15.
Brown, Chad. (2011). A comparison of association methods for cytotoxicity mapping in pharmacogenomics. SHILAP Revista de lepidopterología. 2. 86–86. 15 indexed citations
16.
Motsinger‐Reif, Alison A., Chad Brown, Tammy M. Havener, et al.. (2011). Ex-Vivo Modeling for Heritability Assessment and Genetic Mapping in Pharmacogenomics.. PubMed. 2011. 306–318. 6 indexed citations
17.
Katz, Laurence M., James E. Manning, L. Bruce Pearce, et al.. (2002). HBOC-201 improves survival in a swine model of hemorrhagic shock and liver injury. Resuscitation. 54(1). 77–87. 46 indexed citations
18.
Lucia, M. Scott, Mario A. Anzano, M. V. Slayter, et al.. (1995). Chemopreventive activity of tamoxifen, N-(4-hydroxyphenyl)retinamide, and the vitamin D analogue Ro24-5531 for androgen-promoted carcinomas of the rat seminal vesicle and prostate.. PubMed. 55(23). 5621–7. 85 indexed citations
19.
Wells, Barbara L., Chad Brown, J W Horm, Richard A. Carleton, & Thomas M. Lasater. (1994). Who participates in cardiovascular disease risk factor screenings? Experience with a religious organization-based program.. American Journal of Public Health. 84(1). 113–115. 5 indexed citations
20.
Stewart, Kerry J., et al.. (1994). 178 WEIGHTTRAINING SOON AFTER MYOCARDIAL INFARCTION. Medicine & Science in Sports & Exercise. 26(Supplement). S32–S32. 3 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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