Margaret O’Connor

34 total papers · 1.9k total citations
27 papers, 1.4k citations indexed

About

Margaret O’Connor is a scholar working on Cognitive Neuroscience, Endocrinology, Diabetes and Metabolism and Pharmacy. According to data from OpenAlex, Margaret O’Connor has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Pharmacy. Recurrent topics in Margaret O’Connor's work include Face Recognition and Perception (4 papers), Memory Processes and Influences (3 papers) and Obesity and Health Practices (3 papers). Margaret O’Connor is often cited by papers focused on Face Recognition and Perception (4 papers), Memory Processes and Influences (3 papers) and Obesity and Health Practices (3 papers). Margaret O’Connor collaborates with scholars based in United States, United Kingdom and Israel. Margaret O’Connor's co-authors include Laird S. Cermak, Julian Paul Keenan, Jason J.S. Barton, Daniel Z. Press, Álvaro Pascual‐Leone, Aaron P. Nelson, Mariya V. Cherkasova, Paul J. Eslinger, Nelson Butters and Tera R. Hurt and has published in prestigious journals such as Nature, Neurology and American Journal of Obstetrics and Gynecology.

In The Last Decade

Margaret O’Connor

25 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Margaret O’Connor	1.0k	273	177	172	143	27	1.4k
Michael J. Coleman	842 0.8×	318 1.2×	251 1.4×	114 0.7×	214 1.5×	39	1.6k
Richard R. Hurtig	1.2k 1.2×	259 0.9×	269 1.5×	59 0.3×	51 0.4×	61	1.7k
Wilkin Chau	1.2k 1.2×	203 0.7×	260 1.5×	91 0.5×	36 0.3×	25	1.5k
Tamami Nakano	1.1k 1.1×	243 0.9×	246 1.4×	208 1.2×	43 0.3×	46	1.6k
Riccardo Barbarotto	996 1.0×	264 1.0×	401 2.3×	297 1.7×	207 1.4×	34	1.4k
Wouter De Baene	1.2k 1.2×	293 1.1×	266 1.5×	115 0.7×	30 0.2×	62	1.5k
William E. Rinn	785 0.8×	377 1.4×	52 0.3×	350 2.0×	130 0.9×	10	1.3k
Bernadette M. Jansma	1.1k 1.1×	356 1.3×	421 2.4×	184 1.1×	23 0.2×	59	1.7k
Lúcia Garrido	1.3k 1.3×	611 2.2×	123 0.7×	276 1.6×	117 0.8×	37	1.6k
Merle James	1.0k 1.0×	264 1.0×	116 0.7×	94 0.5×	91 0.6×	13	1.5k

Countries citing papers authored by Margaret O’Connor

Since Specialization

Citations

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

Fields of papers citing papers by Margaret O’Connor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret O’Connor

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