Tania Nolan

33 papers and 16.8k indexed citations i.

About

Tania Nolan is a scholar working on Molecular Biology, Infectious Diseases and Biomedical Engineering. According to data from OpenAlex, Tania Nolan has authored 33 papers receiving a total of 16.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Infectious Diseases and 5 papers in Biomedical Engineering. Recurrent topics in Tania Nolan’s work include Molecular Biology Techniques and Applications (23 papers), RNA Research and Splicing (9 papers) and SARS-CoV-2 detection and testing (7 papers). Tania Nolan is often cited by papers focused on Molecular Biology Techniques and Applications (23 papers), RNA Research and Splicing (9 papers) and SARS-CoV-2 detection and testing (7 papers). Tania Nolan collaborates with scholars based in United Kingdom, Germany and United States. Tania Nolan's co-authors include Stephen A. Bustin, Michael W. Pfaffl, Vladimı́r Beneš, Jim F. Huggett, Gregory L. Shipley, Reinhold Mueller, Carl T. Wittwer, Jeremy A. Garson, Mikael Kubista and Jo Vandesompele and has published in prestigious journals such as Analytical Biochemistry, Oncogene and Current Biology.

In The Last Decade

Co-authorship network of co-authors of Tania Nolan i

Fields of papers citing papers by Tania Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tania Nolan

Since Specialization
Citations

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

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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