Anita Ayer

37 total papers · 1.3k total citations
25 papers, 936 citations indexed

About

Anita Ayer is a scholar working on Molecular Biology, Biochemistry and Cell Biology. According to data from OpenAlex, Anita Ayer has authored 25 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Biochemistry and 4 papers in Cell Biology. Recurrent topics in Anita Ayer's work include Redox biology and oxidative stress (7 papers), Coenzyme Q10 studies and effects (6 papers) and Heme Oxygenase-1 and Carbon Monoxide (5 papers). Anita Ayer is often cited by papers focused on Redox biology and oxidative stress (7 papers), Coenzyme Q10 studies and effects (6 papers) and Heme Oxygenase-1 and Carbon Monoxide (5 papers). Anita Ayer collaborates with scholars based in Australia, United States and United Kingdom. Anita Ayer's co-authors include Roland Stocker, Ian W. Dawes, Anupam Agarwal, Abolfazl Zarjou, Campbell W. Gourlay, Gabriel G. Perrone, Andreas J. Meyer, Peter S. Macdonald, Ghassan J. Maghzal and Louise Dunn and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Physiological Reviews.

In The Last Decade

Anita Ayer

24 papers receiving 920 citations

Author Peers

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

Author Last Decade Papers Cites
Anita Ayer 668 81 79 74 66 25 936
Masaharu Takayama 351 0.5× 82 1.0× 115 1.5× 52 0.7× 66 1.0× 14 1.1k
Sarah J. Chapple 433 0.6× 68 0.8× 111 1.4× 47 0.6× 68 1.0× 21 831
Clement J. Welsh 518 0.8× 131 1.6× 144 1.8× 65 0.9× 39 0.6× 30 826
Göran I. Hansson 370 0.6× 86 1.1× 101 1.3× 56 0.8× 39 0.6× 23 943
Lena Forsberg 498 0.7× 50 0.6× 80 1.0× 28 0.4× 49 0.7× 15 970
Claudia Rodríguez 561 0.8× 47 0.6× 114 1.4× 60 0.8× 26 0.4× 34 1.1k
Hiroki Nanri 621 0.9× 135 1.7× 218 2.8× 84 1.1× 47 0.7× 21 1.0k
Cecilia Poderoso 509 0.8× 41 0.5× 176 2.2× 50 0.7× 50 0.8× 27 866
Michael Orr 430 0.6× 115 1.4× 116 1.5× 35 0.5× 50 0.8× 30 957
Luana Amorim Biondo 431 0.6× 58 0.7× 185 2.3× 59 0.8× 26 0.4× 24 876

Countries citing papers authored by Anita Ayer

Since Specialization
Citations

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

Fields of papers citing papers by Anita Ayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anita Ayer

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