Nina S. McCarthy

678 total citations
21 papers, 284 citations indexed

About

Nina S. McCarthy is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Nina S. McCarthy has authored 21 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Nina S. McCarthy's work include Genetic Associations and Epidemiology (5 papers), Genomic variations and chromosomal abnormalities (3 papers) and Genomics and Rare Diseases (2 papers). Nina S. McCarthy is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Genomic variations and chromosomal abnormalities (3 papers) and Genomics and Rare Diseases (2 papers). Nina S. McCarthy collaborates with scholars based in Australia, United States and United Kingdom. Nina S. McCarthy's co-authors include Eric K. Moses, Phillip E. Melton, Gemma Cadby, Alex W. Hewitt, David A. Mackey, Maria Franchina, Seyhan Yazar, John Blangero, Assen Jablensky and Warren Thomas and has published in prestigious journals such as Journal of Lipid Research, British Journal of Cancer and Schizophrenia Bulletin.

In The Last Decade

Nina S. McCarthy

19 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina S. McCarthy Australia 9 147 93 34 30 29 21 284
Dora Janeth Fonseca Colombia 13 133 0.9× 101 1.1× 55 1.6× 20 0.7× 18 0.6× 65 457
Nabila Kazmi United Kingdom 10 123 0.8× 41 0.4× 59 1.7× 33 1.1× 26 0.9× 20 253
Ting-Yu Chen Taiwan 12 84 0.6× 28 0.3× 42 1.2× 40 1.3× 32 1.1× 19 298
Rossella Sorice Italy 8 102 0.7× 40 0.4× 14 0.4× 33 1.1× 20 0.7× 9 274
Milad Heidari Nia Iran 12 151 1.0× 67 0.7× 18 0.5× 89 3.0× 18 0.6× 29 360
Mark Z. Kos United States 8 168 1.1× 107 1.2× 44 1.3× 18 0.6× 9 0.3× 14 273
Zelin Jin China 2 205 1.4× 53 0.6× 23 0.7× 28 0.9× 8 0.3× 2 278
Tang Jiang China 11 112 0.8× 42 0.5× 44 1.3× 34 1.1× 17 0.6× 21 415
M. Danielle Fallin United States 7 133 0.9× 65 0.7× 36 1.1× 17 0.6× 15 0.5× 8 343

Countries citing papers authored by Nina S. McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Nina S. McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina S. McCarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Nina S. McCarthy. A scholar is included among the top collaborators of Nina S. 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 Nina S. McCarthy. Nina S. 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.
Rivera, Christina de, et al.. (2025). Gut Microbiota Variation in Aging Dogs with Osteoarthritis. Animals. 15(11). 1619–1619. 1 indexed citations
2.
McCarthy, Nina S., Ellen Stewart, C.R. Madeley, et al.. (2024). Co-production of a novel intervention targeting obesity-related barriers to mammographic screening participation. Radiography. 30. 120–130.
3.
McCarthy, Nina S., et al.. (2021). Is Mammographic Breast Density an Endophenotype for Breast Cancer?. Cancers. 13(15). 3916–3916. 4 indexed citations
4.
Cadby, Gemma, Phillip E. Melton, Nina S. McCarthy, et al.. (2020). Heritability of 596 lipid species and genetic correlation with cardiovascular traits in the Busselton Family Heart Study. Journal of Lipid Research. 61(4). 537–545. 29 indexed citations
5.
Heyworth, Jane, Nina S. McCarthy, Audrey Mauguen, et al.. (2020). Association of Known Melanoma Risk Factors with Primary Melanoma of the Scalp and Neck. Cancer Epidemiology Biomarkers & Prevention. 29(11). 2203–2210. 6 indexed citations
6.
Kelty, Erin, Sarah V. Ward, Gemma Cadby, et al.. (2019). Familial and non-familial risk factors associated with incidence of colorectal cancer in young and middle-aged persons in Western Australia. Cancer Epidemiology. 62. 101591–101591. 7 indexed citations
7.
Kelty, Erin, Sarah V. Ward, Gemma Cadby, et al.. (2019). Familial and non-familial risk factors associated with colorectal cancer survival in young and middle-aged patients. International Journal of Colorectal Disease. 34(10). 1673–1680. 3 indexed citations
8.
Melton, Phillip E., Nina S. McCarthy, Bharti Morar, et al.. (2018). Whole genome sequencing of 91 multiplex schizophrenia families reveals increased burden of rare, exonic copy number variation in schizophrenia probands and genetic heterogeneity. Schizophrenia Research. 197. 337–345. 11 indexed citations
9.
McCarthy, Nina S., Melanie L. Clark, Assen Jablensky, & Johanna C. Badcock. (2018). No association between common genetic variation in FOXP2 and language impairment in schizophrenia. Psychiatry Research. 271. 590–597. 10 indexed citations
10.
Cadby, Gemma, Phillip E. Melton, Nina S. McCarthy, et al.. (2017). Pleiotropy of cardiometabolic syndrome with obesity-related anthropometric traits determined using empirically derived kinships from the Busselton Health Study. Human Genetics. 137(1). 45–53. 8 indexed citations
11.
McCarthy, Nina S., Ciara Vangjeli, Praveen Surendran, et al.. (2017). Genetic variants in PPARGC1B and CNTN4 are associated with thromboxane A2 formation and with cardiovascular event free survival in the Anglo-Scandinavian Cardiac Outcomes Trial (ASCOT). Atherosclerosis. 269. 42–49. 6 indexed citations
12.
McCarthy, Nina S., Johanna C. Badcock, Melanie L. Clark, et al.. (2017). Assessment of Cognition and Personality as Potential Endophenotypes in the Western Australian Family Study of Schizophrenia. Schizophrenia Bulletin. 44(4). 908–921. 12 indexed citations
13.
McCarthy, Nina S., et al.. (2016). Integrity of genome-wide genotype data from low passage lymphoblastoid cell lines. Genomics Data. 9. 18–21. 4 indexed citations
14.
McCarthy, Nina S., Phillip E. Melton, Sarah V. Ward, et al.. (2016). Exome array analysis suggests an increased variant burden in families with schizophrenia. Schizophrenia Research. 185. 9–16. 16 indexed citations
15.
Thomsen, Liv Cecilie Vestrheim, Nina S. McCarthy, Phillip E. Melton, et al.. (2016). The antihypertensive MTHFR gene polymorphism rs17367504-G is a possible novel protective locus for preeclampsia. Journal of Hypertension. 35(1). 132–139. 16 indexed citations
16.
McCarthy, Nina S., Alun D. Hughes, Peter S. Sever, et al.. (2015). Urinary proteomic biomarkers to predict cardiovascular events. PROTEOMICS - CLINICAL APPLICATIONS. 9(5-6). 610–617. 31 indexed citations
17.
McCarthy, Nina S., Phillip E. Melton, Gemma Cadby, et al.. (2014). Meta-analysis of human methylation data for evidence of sex-specific autosomal patterns. BMC Genomics. 15(1). 981–981. 80 indexed citations
18.
Smith, Wayne, Rudolph Schutte, Hugo W. Huisman, et al.. (2014). Leptin is Positively Associated with Blood Pressure in African Men with a Low Body Mass Index: The SAfrEIC Study. Hormone and Metabolic Research. 47(2). 145–151. 8 indexed citations
19.
McCarthy, Nina S., Ciara Vangjeli, Gianpiero L. Cavalleri, et al.. (2014). Two Further Blood Pressure Loci Identified in Ion Channel Genes With a Genecentric Approach. Circulation Cardiovascular Genetics. 7(6). 873–879. 4 indexed citations
20.
Caiazza, Francesco, Nina S. McCarthy, Leonie S. Young, et al.. (2010). Cytosolic phospholipase A2-α expression in breast cancer is associated with EGFR expression and correlates with an adverse prognosis in luminal tumours. British Journal of Cancer. 104(2). 338–344. 28 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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