Mark Nolan

645 citations
32 papers · 447 · h-index 11

Impact in

Papers in

Mark Nolan

26 papers receiving 434 citations

Peers

Mark Nolan
Comparison fields: 5 of 59
  • Cardiology and Cardiovascular Medicine 318
  • Radiology, Nuclear Medicine and Imaging 77
  • Endocrinology, Diabetes and Metabolism 25
  • Health Informatics 2
  • Oncology 21
Replace Tatsuya Nakachi with:
Tatsuya Nakachi Japan
Agustín Fernández‐Cisnal Spain
Tongtong Yu China
Frants Pedersen Denmark
Adil Bayramoğlu Türkiye
Do Young Kim South Korea
Maren Maanja Sweden
Clotilde Roy Belgium
Benedikt Bernhard Switzerland
Maciej Karcz Poland
Mark Nolan relative to Tatsuya Nakachi Japan Tatsuya Nakachi's profile →
Citations per field
00.5×2×2.6×
Tatsuya Nakachi · 1×
Citations per year

Countries citing papers authored by Mark Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Mark Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Nolan. 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 Mark Nolan. The network helps show where Mark Nolan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201872
2 201670
3 201754
4 201947
5 202342
6 201526
7 201726
8 201822
9 202016
10 201616
11 201614
12 20169
13 20176
14 20245
15 20244
16 20213
17
Frontiers of technology
19862
18 20162
19 20222
20 20162

About Mark Nolan

Mark Nolan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Complementary and alternative medicine and Aerospace Engineering, having authored 32 papers that have together received 447 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (12 papers), Chemotherapy-induced cardiotoxicity and mitigation (5 papers), Cardiac Imaging and Diagnostics (5 papers), Atrial Fibrillation Management and Outcomes (3 papers), Cardiovascular and exercise physiology (2 papers), Blood Pressure and Hypertension Studies (2 papers), Heart Failure Treatment and Management (2 papers) and Space Exploration and Technology (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (318 citations), Radiology, Nuclear Medicine and Imaging (77 citations), Endocrinology, Diabetes and Metabolism (25 citations), Health Informatics (2 citations) and Oncology (21 citations). Mark Nolan has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Thomas H. Marwick, Kazuaki Negishi, Hong Yang, Ying Wang, S. Ramkumar, Makoto Saito, Quan Huynh, David Russell, Paaladinesh Thavendiranathan and Tomoko Negishi. Their work appears in journals such as The American Journal of Cardiology, Circulation, Journal of the American Society of Echocardiography, American Heart Journal and JACC. Cardiovascular imaging.

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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