Jeanette McCarthy

3.8k total citations
46 papers, 2.4k citations indexed

About

Jeanette McCarthy is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Jeanette McCarthy has authored 46 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 15 papers in Molecular Biology and 12 papers in Epidemiology. Recurrent topics in Jeanette McCarthy's work include Genetic Associations and Epidemiology (12 papers), Liver Disease Diagnosis and Treatment (10 papers) and Hepatitis C virus research (9 papers). Jeanette McCarthy is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Liver Disease Diagnosis and Treatment (10 papers) and Hepatitis C virus research (9 papers). Jeanette McCarthy collaborates with scholars based in United States, United Kingdom and Australia. Jeanette McCarthy's co-authors include Rolf Hilfiker, Geoffrey S. Ginsburg, John G. McHutchison, Sunil Suchindran, Eric J. Topol, Howard L. McLeod, Xiang Qian Lao, Hans L. Tillmann, Andrew J. Muir and Josephine H. Li and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Nature Biotechnology.

In The Last Decade

Jeanette McCarthy

45 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeanette McCarthy United States 23 844 544 479 416 304 46 2.4k
Jonathan Manning United Kingdom 18 697 0.8× 441 0.8× 391 0.8× 155 0.4× 351 1.2× 28 2.3k
Grace Guzman United States 30 1.4k 1.6× 873 1.6× 496 1.0× 156 0.4× 103 0.3× 113 3.2k
Anibh M. Das Germany 31 1.6k 1.9× 356 0.7× 95 0.2× 287 0.7× 210 0.7× 143 3.5k
Brigitte Debuire France 31 1.1k 1.3× 346 0.6× 368 0.8× 276 0.7× 64 0.2× 95 3.0k
Wei Tang United States 29 1.5k 1.7× 255 0.5× 272 0.6× 161 0.4× 302 1.0× 88 2.8k
Marçal Pastor‐Anglada Spain 42 1.8k 2.2× 529 1.0× 132 0.3× 237 0.6× 109 0.4× 184 5.6k
Scott Turner United States 39 1.7k 2.0× 957 1.8× 212 0.4× 279 0.7× 225 0.7× 122 4.8k
Kuo Liu China 22 794 0.9× 198 0.4× 192 0.4× 121 0.3× 239 0.8× 97 2.0k
Jie Yuan China 24 1.3k 1.5× 352 0.6× 205 0.4× 199 0.5× 115 0.4× 129 2.3k
Saburo Onishi Japan 40 1.9k 2.3× 1.6k 2.9× 1.1k 2.2× 440 1.1× 197 0.6× 196 5.1k

Countries citing papers authored by Jeanette McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Jeanette McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeanette McCarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Jeanette McCarthy. A scholar is included among the top collaborators of Jeanette McCarthy 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 Jeanette McCarthy. Jeanette McCarthy 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.
Linnertz, Colton L., Ann M. Saunders, Michael W. Lutz, et al.. (2012). Characterization of the Poly-T Variant in the TOMM40 Gene in Diverse Populations. PLoS ONE. 7(2). e30994–e30994. 46 indexed citations
2.
Lucas, Joseph E., Paul M. Thompson, Laura G. Dubois, et al.. (2012). Metaprotein expression modeling for label-free quantitative proteomics. BMC Bioinformatics. 13(1). 74–74. 7 indexed citations
3.
Chiba‐Falek, Ornit, Colton L. Linnertz, John R. Guyton, et al.. (2012). Pleiotropy and allelic heterogeneity in the TOMM40-APOE genomic region related to clinical and metabolic features of hepatitis C infection. Human Genetics. 131(12). 1911–1920. 11 indexed citations
4.
Cyr, Derek D., Joseph E. Lucas, J. Will Thompson, et al.. (2011). Characterization of Serum Proteins Associated with IL28B Genotype among Patients with Chronic Hepatitis C. PLoS ONE. 6(7). e21854–e21854. 22 indexed citations
5.
Rowell, Jennifer, John R. Guyton, Xiang Qian Lao, et al.. (2011). Serum apolipoprotein C-III is independently associated with chronic hepatitis C infection and advanced fibrosis. Hepatology International. 6(2). 475–481. 15 indexed citations
6.
Tillmann, Hans L., Keyur Patel, Andrew J. Muir, et al.. (2011). Beneficial IL28B genotype associated with lower frequency of hepatic steatosis in patients with chronic hepatitis C. Journal of Hepatology. 55(6). 1195–1200. 63 indexed citations
7.
Suchindran, Sunil, John R. Guyton, Xiaoyi Gao, et al.. (2010). Genome-Wide Association Study of Lp-PLA2 Activity and Mass in the Framingham Heart Study. PLoS Genetics. 6(4). e1000928–e1000928. 59 indexed citations
8.
Lao, Xiang Qian, A. Thompson, John G. McHutchison, & Jeanette McCarthy. (2010). Sex and age differences in lipid response to chronic infection with the hepatitis C virus in the United States National Health and Nutrition Examination Surveys. Journal of Viral Hepatitis. 18(8). 571–579. 20 indexed citations
9.
McCarthy, Jeanette, Colton L. Linnertz, James R. Burke, et al.. (2010). The effect of SNCA 3′ region on the levels of SNCA-112 splicing variant. Neurogenetics. 12(1). 59–64. 50 indexed citations
11.
Ginsburg, Geoffrey S., Svati H. Shah, & Jeanette McCarthy. (2007). Taking Cardiovascular Genetic Association Studies to the Next Level. Journal of the American College of Cardiology. 50(10). 930–932. 14 indexed citations
12.
McCarthy, Jeanette. (2006). Gene by sex interaction in the etiology of coronary heart disease and the preceding metabolic syndrome. Nutrition Metabolism and Cardiovascular Diseases. 17(2). 153–161. 36 indexed citations
13.
Crouzillat, Dominique, et al.. (2005). A Robusta consensus genetic map using RFLP and microsatellite markers for the detection of QTL.. 546–553. 2 indexed citations
14.
Jefferson, Brian, Jennifer H. Foster, Jeanette McCarthy, et al.. (2005). Aspirin resistance and a single gene. The American Journal of Cardiology. 95(6). 805–808. 84 indexed citations
15.
McCarthy, Jeanette. (2005). Life, diversity and the pursuit of haplotypes. Nature Biotechnology. 23(11). 1376–1377. 3 indexed citations
16.
Moss, Arthur J., Daniel H. Ryan, David Oakes, et al.. (2005). Atherosclerotic Risk Genotypes and Recurrent Coronary Events After Myocardial Infarction. The American Journal of Cardiology. 96(2). 177–182. 13 indexed citations
17.
McCarthy, Jeanette, Steve Lewitzky, Cynthia Reeves, et al.. (2003). Polymorphisms of the HDL Receptor Gene Associated with HDL Cholesterol Levels in Diabetic Kindred from Three Populations. Human Heredity. 55(4). 163–170. 26 indexed citations
18.
McCarthy, Jeanette. (2003). Advances in Pharmacogenomic Research and Development. Molecular Biotechnology. 25(3). 275–282. 1 indexed citations
19.
McCarthy, Jeanette, Steve Lewitzky, Alan Permutt, et al.. (2001). SR-B1 variants associated with HDL cholesterol levels in three populations. Lund University Publications (Lund University). 2 indexed citations
20.
McCarthy, Jeanette. (2000). The true nature of pharmacogenomic associations?. Trends in Pharmacological Sciences. 21(12). 461–461. 1 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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