Mary C. O’Sullivan

37 total papers · 823 total citations
29 papers, 666 citations indexed

About

Mary C. O’Sullivan is a scholar working on Molecular Biology, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Mary C. O’Sullivan has authored 29 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Organic Chemistry and 6 papers in Biomedical Engineering. Recurrent topics in Mary C. O’Sullivan's work include Polyamine Metabolism and Applications (8 papers), Synthesis and Biological Evaluation (6 papers) and Trypanosoma species research and implications (4 papers). Mary C. O’Sullivan is often cited by papers focused on Polyamine Metabolism and Applications (8 papers), Synthesis and Biological Evaluation (6 papers) and Trypanosoma species research and implications (4 papers). Mary C. O’Sullivan collaborates with scholars based in United States, Ireland and United Kingdom. Mary C. O’Sullivan's co-authors include Damon M. Dalrymple, J A Eyre, S. Miller, Qibing Zhou, Jens Ducrée, Cyrus J. Bacchi, Zhili Li, Donna Rattendi, Mohamed Oubaha and Lewis L. Smith and has published in prestigious journals such as Journal of the American Chemical Society, Brain and The Journal of Physiology.

In The Last Decade

Mary C. O’Sullivan

28 papers receiving 636 citations

Author Peers

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

Author Last Decade Papers Cites
Mary C. O’Sullivan 220 166 147 92 85 29 666
Sung Min Cho 275 1.3× 77 0.5× 136 0.9× 19 0.2× 43 0.5× 27 690
Vojtěch Pavlík 170 0.8× 43 0.3× 60 0.4× 18 0.2× 35 0.4× 40 589
Xiwen Geng 150 0.7× 23 0.1× 94 0.6× 42 0.5× 42 0.5× 48 756
Hsiu‐Hui Chen 153 0.7× 217 1.3× 73 0.5× 15 0.2× 13 0.2× 52 788
Ángela Bernabéu 153 0.7× 36 0.2× 30 0.2× 33 0.4× 115 1.4× 31 588
Mitsuhiro Sugimoto 192 0.9× 30 0.2× 22 0.1× 54 0.6× 119 1.4× 41 735
Yusuke Hamada 234 1.1× 106 0.6× 15 0.1× 22 0.2× 59 0.7× 58 775
Chia‐Ling Chen 77 0.3× 23 0.1× 119 0.8× 52 0.6× 36 0.4× 27 703
Yasuo Satoh 146 0.7× 18 0.1× 160 1.1× 29 0.3× 36 0.4× 72 751
Agnieszka Gajewska 176 0.8× 56 0.3× 74 0.5× 23 0.3× 16 0.2× 41 653

Countries citing papers authored by Mary C. O’Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Mary C. O’Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary C. O’Sullivan. 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 Mary C. O’Sullivan. The network helps show where Mary C. O’Sullivan may publish in the future.

Co-authorship network of co-authors of Mary C. O’Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Mary C. O’Sullivan. A scholar is included among the top collaborators of Mary C. O’Sullivan 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 Mary C. O’Sullivan. Mary C. O’Sullivan 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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