Patrick H. McNulty

43 papers receiving 1.9k citations

Peers

Patrick H. McNulty
Comparison fields: 5 of 104
  • Cardiology and Cardiovascular Medicine 1.1k
  • Endocrinology, Diabetes and Metabolism 356
  • Physiology 406
  • Emergency Medicine 145
  • Radiology, Nuclear Medicine and Imaging 342
Replace Toshiaki Ebina with:
Toshiaki Ebina Japan
Masayoshi Oikawa Japan
Gabriele Fragasso Italy
Ivan Philip France
Peter M. George New Zealand
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Hiroyuki Kunii Japan
Michael Stillabower United States
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Mario Siniscalchi Italy
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Citations per field
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Citations per year

Countries citing papers authored by Patrick H. McNulty

Since Specialization
Citations

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

Fields of papers citing papers by Patrick H. McNulty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick H. McNulty. 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 Patrick H. McNulty. The network helps show where Patrick H. McNulty may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick H. McNulty, 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 Patrick H. McNulty Line = papers co-authored together Patrick H. McNulty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002407
2 2002368
3 2005130
4 2007111
5 200177
6 200366
7
Effect of hyperinsulinemia on myocardial fluorine-18-FDG uptake.
199852
8 200050
9 199649
10 199147
11 200244
12 201143
13 199641
14 199540
15 199337
16 200036
17 202235
18 200033
19 200132
20 199029

About Patrick H. McNulty

Patrick H. McNulty is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Surgery and Molecular Biology, having authored 44 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (19 papers), Cardiac Imaging and Diagnostics (11 papers), Cardiac Ischemia and Reperfusion (9 papers), Cardiac electrophysiology and arrhythmias (6 papers), Advanced MRI Techniques and Applications (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Muscle metabolism and nutrition (3 papers) and Cardiac Arrhythmias and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Endocrinology, Diabetes and Metabolism (356 citations), Physiology (406 citations), Emergency Medicine (145 citations) and Radiology, Nuclear Medicine and Imaging (342 citations). Patrick H. McNulty has collaborated with scholars based in United States and Australia. Frequent co-authors include Heinrich Taegtmeyer, Martin E. Young, Lawrence H. Young, Dinesh Jagasia, Mark Kozak, Lawrence I. Deckelbaum, Lawrence I. Sinoway, Sofia Scott, Charles E. Chambers and Steven Pfau. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Circulation, The American Journal of Cardiology, American Journal of Physiology-Endocrinology and Metabolism and Catheterization and Cardiovascular Interventions.

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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