D.J. Connolly

39 total papers · 1.3k total citations
35 papers, 907 citations indexed

About

D.J. Connolly is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, D.J. Connolly has authored 35 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Cardiology and Cardiovascular Medicine and 6 papers in Molecular Biology. Recurrent topics in D.J. Connolly's work include Cardiovascular Conditions and Treatments (24 papers), Cardiac Arrhythmias and Treatments (9 papers) and Cardiomyopathy and Myosin Studies (8 papers). D.J. Connolly is often cited by papers focused on Cardiovascular Conditions and Treatments (24 papers), Cardiac Arrhythmias and Treatments (9 papers) and Cardiomyopathy and Myosin Studies (8 papers). D.J. Connolly collaborates with scholars based in United Kingdom, United States and Germany. D.J. Connolly's co-authors include Virginia Luis Fuentes, Kieran Borgeat, John P. Cooke, Ketan Patel, Adrian Boswood, Jessie Rose Payne, Dave C. Brodbelt, Pierre Menaut, Chris Lamb and Harriet M. Syme and has published in prestigious journals such as Developmental Biology, Lara D. Veeken and Journal of Veterinary Internal Medicine.

In The Last Decade

D.J. Connolly

33 papers receiving 879 citations

Author Peers

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

Author						Papers	Cites
D.J. Connolly	580	420	205	200	115	35	907
T. Falk	725 1.3×	549 1.3×	180 0.9×	197 1.0×	141 1.2×	35	1.0k
Deborah M. Fine	392 0.7×	363 0.9×	241 1.2×	124 0.6×	108 0.9×	33	861
Caryn Reynolds	483 0.8×	362 0.9×	197 1.0×	147 0.7×	115 1.0×	27	890
Lawrence P. Tilley	366 0.6×	630 1.5×	129 0.6×	112 0.6×	107 0.9×	37	1.0k
Sandra Tou	382 0.7×	279 0.7×	231 1.1×	125 0.6×	89 0.8×	30	718
D. F. Patterson	479 0.8×	248 0.6×	304 1.5×	254 1.3×	208 1.8×	33	999
Anthony H. Tobias	525 0.9×	385 0.9×	70 0.3×	220 1.1×	181 1.6×	44	877
R. Lee Pyle	518 0.9×	448 1.1×	120 0.6×	262 1.3×	202 1.8×	27	780
David Chiavegato	537 0.9×	346 0.8×	143 0.7×	232 1.2×	185 1.6×	15	727
S. Crosara	564 1.0×	369 0.9×	113 0.6×	258 1.3×	148 1.3×	26	709

Countries citing papers authored by D.J. Connolly

Since Specialization

Citations

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

Fields of papers citing papers by D.J. Connolly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.J. Connolly. 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 D.J. Connolly. The network helps show where D.J. Connolly may publish in the future.

Co-authorship network of co-authors of D.J. Connolly

This figure shows the co-authorship network connecting the top 25 collaborators of D.J. Connolly. A scholar is included among the top collaborators of D.J. Connolly 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 D.J. Connolly. D.J. Connolly 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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