Tara Skelly

133 total papers · 65.8k total citations
9 papers, 230 citations indexed

About

Tara Skelly is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Tara Skelly has authored 9 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Tara Skelly's work include Genetic Associations and Epidemiology (4 papers), Genomics and Rare Diseases (3 papers) and Genomics, phytochemicals, and oxidative stress (1 paper). Tara Skelly is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Genomics and Rare Diseases (3 papers) and Genomics, phytochemicals, and oxidative stress (1 paper). Tara Skelly collaborates with scholars based in United States, Sweden and Brazil. Tara Skelly's co-authors include Patrick F. Sullivan, Pat Levitt, Jerry L. Campbell, Jeffrey A. Lieberman, Sofia A. Oliveira, Margaret A. Pericak‐Vance, Yi‐Ju Li, Jeffery M. Vance, T. Scott Stroup and Philip J. Ebert and has published in prestigious journals such as Biological Psychiatry, The Journal of Infectious Diseases and Neurobiology of Aging.

In The Last Decade

Tara Skelly

8 papers receiving 229 citations

Author Peers

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

Author Last Decade Papers Cites
Tara Skelly 123 57 51 31 25 9 230
Sheila Umlauf 70 0.6× 60 1.1× 71 1.4× 29 0.9× 6 0.2× 12 249
Gerald P. Connolly 180 1.5× 30 0.5× 16 0.3× 29 0.9× 17 0.7× 10 326
Emily Moon 228 1.9× 80 1.4× 49 1.0× 58 1.9× 12 0.5× 7 326
M. Carpentieri 87 0.7× 34 0.6× 21 0.4× 92 3.0× 58 2.3× 12 242
Simonetta Sangiorgi 194 1.6× 21 0.4× 63 1.2× 25 0.8× 15 0.6× 12 311
Chuncheng Xie 131 1.1× 14 0.2× 43 0.8× 41 1.3× 15 0.6× 11 240
Anna Bot 175 1.4× 43 0.8× 57 1.1× 72 2.3× 24 1.0× 8 280
Ya-Hui Lin 154 1.3× 45 0.8× 29 0.6× 39 1.3× 25 1.0× 10 209
Alex Nee 197 1.6× 32 0.6× 15 0.3× 23 0.7× 28 1.1× 6 286
Amanda Morato do Canto 155 1.3× 37 0.6× 62 1.2× 54 1.7× 14 0.6× 13 273

Countries citing papers authored by Tara Skelly

Since Specialization
Citations

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

Fields of papers citing papers by Tara Skelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tara Skelly

This figure shows the co-authorship network connecting the top 25 collaborators of Tara Skelly. A scholar is included among the top collaborators of Tara Skelly 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 Tara Skelly. Tara Skelly 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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