Matthew J. O’Neill

93 total papers · 1.0k total citations
27 papers, 593 citations indexed

About

Matthew J. O’Neill is a scholar working on Organic Chemistry, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthew J. O’Neill has authored 27 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organic Chemistry, 9 papers in Molecular Biology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthew J. O’Neill's work include Catalytic Cross-Coupling Reactions (8 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Catalytic C–H Functionalization Methods (5 papers). Matthew J. O’Neill is often cited by papers focused on Catalytic Cross-Coupling Reactions (8 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Catalytic C–H Functionalization Methods (5 papers). Matthew J. O’Neill collaborates with scholars based in United States, Germany and United Kingdom. Matthew J. O’Neill's co-authors include Josep Cornellà, Laurin Wimmer, Phil S. Baran, Frederik Sandfort, Yaya Duan, Yuanhong Ma, Feng Wang, Andrew M. Glazer, Dan M. Roden and Lynn Hall and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Journal of Controlled Release.

In The Last Decade

Matthew J. O’Neill

24 papers receiving 588 citations

Author Peers

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

Author						Papers	Cites
Matthew J. O’Neill	284	195	155	64	54	27	593
Todd T. Romoff	340 1.2×	435 2.2×	29 0.2×	39 0.6×	20 0.4×	17	669
Daniel J. Coughlin	222 0.8×	208 1.1×	44 0.3×	16 0.3×	15 0.3×	31	654
Johan Wannberg	516 1.8×	228 1.2×	30 0.2×	42 0.7×	27 0.5×	26	680
Michael J. Boyd	301 1.1×	130 0.7×	38 0.2×	27 0.4×	19 0.4×	36	563
Jeffery A. Zablocki	246 0.9×	161 0.8×	57 0.4×	13 0.2×	60 1.1×	20	561
Roger P. Dickinson	266 0.9×	215 1.1×	83 0.5×	21 0.3×	15 0.3×	26	636
Marta Soler	135 0.5×	262 1.3×	51 0.3×	8 0.1×	50 0.9×	24	613
Antonella Pepe	227 0.8×	264 1.4×	14 0.1×	61 1.0×	56 1.0×	25	548
Atsushi Kawamura	134 0.5×	127 0.7×	183 1.2×	15 0.2×	14 0.3×	32	607
Steven M. Hutchins	342 1.2×	382 2.0×	20 0.1×	20 0.3×	46 0.9×	17	685

Countries citing papers authored by Matthew J. O’Neill

Since Specialization

Citations

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

Fields of papers citing papers by Matthew J. O’Neill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. O’Neill

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