Matthew O’Connor

1.2k citations
48 papers · 788 · h-index 14

Impact in

Papers in

Matthew O’Connor

43 papers receiving 765 citations

Peers

Matthew O’Connor
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 207
  • Cancer Research 125
  • Oncology 185
  • Molecular Biology 352
  • Pulmonary and Respiratory Medicine 150
Replace Denise D’Andrea with:
Denise D’Andrea United States
Shin-ichi Yamashita Japan
Daisuke Ito Japan
J Dämmrich Germany
Bogusz Trojanowicz Germany
M. Manzoni Italy
Joanne Chou United States
Daniel A. Zlotoff United States
Stefan Koschnick Germany
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Citations per field
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Citations per year

Countries citing papers authored by Matthew O’Connor

Since Specialization
Citations

This map shows the geographic impact of Matthew 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 Matthew 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 Matthew O’Connor more than expected).

Fields of papers citing papers by Matthew O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew O’Connor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew O’Connor Line = papers co-authored together Matthew O’Connor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009240
2 2007118
3 201657
4 201152
5
Mechanical biliary obstruction. A review of the multisystemic consequences of obstructive jaundice and their impact on perioperative morbidity and mortality.
198528
6 201024
7 200623
8 200723
9 200020
10 200817
11 202116
12 202314
13 201714
14 201013
15 201813
16 201713
17 202211
18 201910
19 20239
20 20229

About Matthew O’Connor

Matthew O’Connor is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Surgery, having authored 48 papers that have together received 788 indexed citations. Recurring topics across this work include Cardiac pacing and defibrillation studies (19 papers), Cardiac Arrhythmias and Treatments (13 papers), Lung Cancer Treatments and Mutations (8 papers), Cardiac electrophysiology and arrhythmias (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Cardiac Structural Anomalies and Repair (4 papers), Cancer Treatment and Pharmacology (3 papers) and Neonatal and fetal brain pathology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (207 citations), Cancer Research (125 citations), Oncology (185 citations), Molecular Biology (352 citations) and Pulmonary and Respiratory Medicine (150 citations). Matthew O’Connor has collaborated with scholars based in United States, New Zealand and Germany. Frequent co-authors include Maryland Rosenfeld-Franklin, Elizabeth Buck, Qunsheng Ji, Mark J. Mulvihill, Andrew Cooke, Caroline Pirritt, Lee D. Arnold, Neil W. Gibson, K.W. Foreman and Yan Yao. Their work appears in journals such as Cancer Research, EP Europace, Molecular Cancer Therapeutics, Bioorganic & Medicinal Chemistry Letters and Journal of Interventional Cardiac Electrophysiology.

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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