Matthew O’Connor

42 papers receiving 785 citations

Peers

Matthew O’Connor
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 189
  • Cancer Research 101
  • Oncology 154
  • Cardiology and Cardiovascular Medicine 101
  • Molecular Biology 315
Replace P. M. Jehle with:
P. M. Jehle Germany
Michiel P. de Boer Netherlands
Tobias Höller Germany
J Dämmrich Germany
Daniel A. Zlotoff United States
S J Lauer United States
Daisuke Ito Japan
Suguru Shirotake Japan
Craig Luccarini United Kingdom
Yongfeng Ding China
Matthew O’Connor relative to P. M. Jehle Germany P. M. Jehle's profile →
Citations per field
00.5×
P. M. Jehle · 1×
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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009242
2 2007118
3 201663
4 201153
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 200624
8 200723
9 200020
10 200818
11 202116
12 202316
13 201715
14 201714
15 201813
16 201013
17 202212
18 202210
19 201910
20 20219

About Matthew O’Connor

Matthew O’Connor is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 47 papers that have together received 807 indexed citations. Recurring topics across this work include Cardiac pacing and defibrillation studies (13 papers), Cardiac Arrhythmias and Treatments (8 papers), Lung Cancer Treatments and Mutations (8 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Cancer Treatment and Pharmacology (3 papers), Neonatal and fetal brain pathology (3 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (189 citations), Cancer Research (101 citations), Oncology (154 citations), Cardiology and Cardiovascular Medicine (101 citations) and Molecular Biology (315 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, Mark J. Mulvihill, Qunsheng Ji, Andrew Cooke, Caroline Pirritt, Neil W. Gibson, Lee D. Arnold, 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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