Nina S. McCarthy

45 total papers · 669 total citations
20 papers, 281 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 20 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Molecular Biology and 4 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 Inflammatory mediators and NSAID effects (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 Inflammatory mediators and NSAID effects (2 papers). Nina S. McCarthy collaborates with scholars based in Australia, United States and Ireland. Nina S. McCarthy's co-authors include Eric K. Moses, Phillip E. Melton, Gemma Cadby, Seyhan Yazar, Alex W. Hewitt, Maria Franchina, David A. Mackey, John Blangero, Assen Jablensky and Francesco Caiazza 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 276 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nina S. McCarthy 147 93 34 29 28 20 281
Nabila Kazmi 122 0.8× 41 0.4× 59 1.7× 33 1.1× 26 0.9× 20 252
Mikko Haanpää 69 0.5× 79 0.8× 31 0.9× 28 1.0× 35 1.3× 13 322
Francisco Barajas‐Olmos 111 0.8× 72 0.8× 22 0.6× 28 1.0× 18 0.6× 31 278
Smeeta Shrestha 76 0.5× 32 0.3× 51 1.5× 17 0.6× 23 0.8× 18 240
Anna Iervolino 147 1.0× 32 0.3× 22 0.6× 31 1.1× 17 0.6× 32 306
Massimo Realacci 57 0.4× 66 0.7× 24 0.7× 14 0.5× 21 0.8× 17 319
Hernán González 129 0.9× 42 0.5× 13 0.4× 15 0.5× 29 1.0× 19 287
Dimitrios Papadopoulos 125 0.9× 57 0.6× 14 0.4× 33 1.1× 40 1.4× 18 284
Mark Z. Kos 168 1.1× 107 1.2× 44 1.3× 18 0.6× 9 0.3× 14 273
Wenbai Zhou 156 1.1× 50 0.5× 59 1.7× 49 1.7× 26 0.9× 17 298

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

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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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