Kristin Brown‐Gentry
About
Kristin Brown‐Gentry is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism.
According to data from OpenAlex, Kristin Brown‐Gentry has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 6 papers in Molecular Biology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kristin Brown‐Gentry's work include Genetic Associations and Epidemiology (16 papers), BRCA gene mutations in cancer (3 papers) and Hormonal Regulation and Hypertension (3 papers). Kristin Brown‐Gentry is often cited by papers focused on Genetic Associations and Epidemiology (16 papers), BRCA gene mutations in cancer (3 papers) and Hormonal Regulation and Hypertension (3 papers). Kristin Brown‐Gentry collaborates with scholars based in United States, Netherlands and Germany. Kristin Brown‐Gentry's co-authors include Dana C. Crawford, Marylyn D. Ritchie, Dan M. Roden, Jill M. Pulley, Joshua C. Denny, Melissa Basford, Dan Masys, Lisa Bastarache, Jonathan L. Haines and Robert Goodloe and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.
In The Last Decade
Kristin Brown‐Gentry
26 papers receiving 1.4k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Kristin Brown‐Gentry United States | 14 | 648 | 548 | 144 | 137 | 118 | 26 | 1.4k | ||
| Andrea H. Ramirez United States | 20 | 446 0.7× | 526 1.0× | 117 0.8× | 329 2.4× | 137 1.2× | 41 | 1.7k | ||
| Lisa A. Bastarache United States | 9 | 461 0.7× | 309 0.6× | 77 0.5× | 79 0.6× | 92 0.8× | 11 | 954 | ||
| Jason H. Karnes United States | 18 | 217 0.3× | 304 0.6× | 93 0.6× | 172 1.3× | 119 1.0× | 62 | 1.3k | ||
| Lisa Bastarache United States | 20 | 895 1.4× | 967 1.8× | 218 1.5× | 467 3.4× | 217 1.8× | 60 | 3.0k | ||
| Dan Masys United States | 7 | 396 0.6× | 463 0.8× | 121 0.8× | 77 0.6× | 47 0.4× | 8 | 1.0k | ||
| Anne E. Eyler United States | 7 | 678 1.0× | 782 1.4× | 180 1.3× | 46 0.3× | 44 0.4× | 9 | 1.4k | ||
| Jeffery L. Painter United States | 10 | 394 0.6× | 525 1.0× | 54 0.4× | 50 0.4× | 70 0.6× | 28 | 1.3k | ||
| David R. Crosslin United States | 24 | 609 0.9× | 1.1k 2.0× | 91 0.6× | 307 2.2× | 280 2.4× | 64 | 2.4k | ||
| R Thomas Lumbers United Kingdom | 17 | 245 0.4× | 481 0.9× | 63 0.4× | 377 2.8× | 153 1.3× | 30 | 1.3k | ||
| Peter J. Castaldi United States | 29 | 224 0.3× | 596 1.1× | 88 0.6× | 101 0.7× | 138 1.2× | 110 | 2.5k |
Countries citing papers authored by Kristin Brown‐Gentry
Since
Specialization
Citations
This map shows the geographic impact of Kristin Brown‐Gentry'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 Kristin Brown‐Gentry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristin Brown‐Gentry more than expected).
Fields of papers citing papers by Kristin Brown‐Gentry
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Kristin Brown‐Gentry. 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 Kristin Brown‐Gentry. The network helps show where Kristin Brown‐Gentry may publish in the future.
Co-authorship network of co-authors of Kristin Brown‐Gentry
This figure shows the co-authorship network connecting the top 25 collaborators of Kristin Brown‐Gentry. A scholar is included among the top collaborators of Kristin Brown‐Gentry 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 Kristin Brown‐Gentry. Kristin Brown‐Gentry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Oetjens, Matthew T., Kristin Brown‐Gentry, Robert Goodloe, Holli H. Dilks, & Dana C. Crawford. (2016). Population Stratification in the Context of Diverse Epidemiologic Surveys Sans Genome-Wide Data. Frontiers in Genetics. 7. 76–76.
2.
Malinowski, Jennifer, Robert Goodloe, Kristin Brown‐Gentry, & Dana C. Crawford. (2015). Cryptic relatedness in epidemiologic collections accessed for genetic association studies: experiences from the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) study and the National Health and Nutrition Examination Surveys (NHANES). Frontiers in Genetics. 6. 317–317.
3.
Hohman, Timothy J., William S. Bush, Lan Jiang, et al.. (2015). Discovery of gene-gene interactions across multiple independent data sets of late onset Alzheimer disease from the Alzheimer Disease Genetics Consortium. Neurobiology of Aging. 38. 141–150.
4.
Mitchell, Sabrina L., Robert Goodloe, Kristin Brown‐Gentry, et al.. (2014). Characterization of mitochondrial haplogroups in a large population-based sample from the United States. Human Genetics. 133(7). 861–868.
5.
Hall, Molly A., Anurag Verma, Kristin Brown‐Gentry, et al.. (2014). Detection of Pleiotropy through a Phenome-Wide Association Study (PheWAS) of Epidemiologic Data as Part of the Environmental Architecture for Genes Linked to Environment (EAGLE) Study. PLoS Genetics. 10(12). e1004678–e1004678.
6.
Jeff, Janina M., Brian S. Donahue, Kristin Brown‐Gentry, et al.. (2013). Genetic variation in the β1-adrenergic receptor is associated with the risk of atrial fibrillation after cardiac surgery. American Heart Journal. 167(1). 101–108.e1.
7.
Goodloe, Robert, Kristin Brown‐Gentry, Hailing Jin, et al.. (2013). Lipid trait-associated genetic variation is associated with gallstone disease in the diverse Third National Health and Nutrition Examination Survey (NHANES III). BMC Medical Genetics. 14(1). 120–120.
8.
Bush, William S., J.R. Boston, Sarah A. Pendergrass, et al.. (2012). ENABLING HIGH-THROUGHPUT GENOTYPE-PHENOTYPE ASSOCIATIONS IN THE EPIDEMIOLOGIC ARCHITECTURE FOR GENES LINKED TO ENVIRONMENT (EAGLE) PROJECT AS PART OF THE POPULATION ARCHITECTURE USING GENOMICS AND EPIDEMIOLOGY (PAGE) STUDY. PubMed. 373–384.
9.
Jeff, Janina M., Kristin Brown‐Gentry, & Dana C. Crawford. (2012). Replication and characterisation of genetic variants in the fibrinogen gene cluster with plasma fibrinogen levels and haematological traits in the Third National Health and Nutrition Examination Survey. Thrombosis and Haemostasis. 107(3). 458–467.
10.
Dumitrescu, Logan, Robert Goodloe, Kristin Brown‐Gentry, et al.. (2012). Serum vitamins A and E as modifiers of lipid trait genetics in the National Health and Nutrition Examination Surveys as part of the Population Architecture using Genomics and Epidemiology (PAGE) study. Human Genetics. 131(11). 1699–1708.
11.
Dumitrescu, Logan, Kristin Brown‐Gentry, Robert Goodloe, et al.. (2011). Evidence for Age As a Modifier of Genetic Associations for Lipid Levels. Annals of Human Genetics. 75(5). 589–597.
12.
Dumitrescu, Logan, Kristin Brown‐Gentry, Michelle Wong, et al.. (2011). Variation in LPA Is Associated with Lp(a) Levels in Three Populations from the Third National Health and Nutrition Examination Survey. PLoS ONE. 6(1). e16604–e16604.
13.
Jeff, Janina M., Kristin Brown‐Gentry, Sarah G. Buxbaum, et al.. (2011). SCN5A Variation Is Associated With Electrocardiographic Traits in the Jackson Heart Study. Circulation Cardiovascular Genetics. 4(2). 139–144.
14.
Jagasia, Madan, William Clark, Kristin Brown‐Gentry, et al.. (2011). Genetic Variation in Donor CTLA-4 Regulatory Region is a Strong Predictor of Outcome after Allogeneic Hematopoietic Cell Transplantation for Hematologic Malignancies. Biology of Blood and Marrow Transplantation. 18(7). 1069–1075.
15.
Denny, Joshua C., Marylyn D. Ritchie, Melissa Basford, et al.. (2010). PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations. Bioinformatics. 26(9). 1205–1210.
16.
Dumitrescu, Logan, Marylyn D. Ritchie, Kristin Brown‐Gentry, et al.. (2010). Assessing the accuracy of observer-reported ancestry in a biorepository linked to electronic medical records. Genetics in Medicine. 12(10). 648–650.
17.
Ritchie, Marylyn D., Joshua C. Denny, Dana C. Crawford, et al.. (2010). Robust Replication of Genotype-Phenotype Associations across Multiple Diseases in an Electronic Medical Record. The American Journal of Human Genetics. 87(2). 310–310.
18.
Crawford, Dana C., Kristin Brown‐Gentry, & Mark J. Rieder. (2010). VKORC1 Common Variation and Bone Mineral Density in the Third National Health and Nutrition Examination Survey. PLoS ONE. 5(12). e15088–e15088.
19.
Ritchie, Marylyn D., Joshua C. Denny, Dana C. Crawford, et al.. (2010). Robust Replication of Genotype-Phenotype Associations across Multiple Diseases in an Electronic Medical Record. The American Journal of Human Genetics. 86(4). 560–572.
20.
Hung, Adriana M., Dana C. Crawford, Marie R. Griffin, et al.. (2009). CRP Polymorphisms and Progression of Chronic Kidney Disease in African Americans. Clinical Journal of the American Society of Nephrology. 5(1). 24–33.
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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