Michael T. Lu

7.5k citations
182 papers · 4.1k indexed · 2 hit papers · h-index 32

Michael T. Lu

160 papers receiving 4.0k citations

Hit Papers

Skeletal...142018202620202023100200300

Peers

Michael T. Lu
Comparison fields: 5 of 145
  • Radiology, Nuclear Medicine and Imaging 2.0k
  • Cardiology and Cardiovascular Medicine 1.4k
  • Internal Medicine 220
  • Emergency Medicine 567
  • Health Informatics 76
Replace Roberto Maroldi with:
Roberto Maroldi Italy
Alan Karthikesalingam United Kingdom
Elisabeth Ståhle Sweden
Oke Gerke Denmark
Sandrine Katsahian France
David Dai United States
Michael Chu Canada
Stamatios Lerakis United States
Delphine Maucort‐Boulch France
Doff B. McElhinney United States
Michael T. Lu relative to Roberto Maroldi Italy Roberto Maroldi's profile →
Citations per field
00.5×7.3×
Roberto Maroldi · 1×
Citations per year

Countries citing papers authored by Michael T. Lu

Since Specialization
Citations

This map shows the geographic impact of Michael T. Lu'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 Michael T. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Lu more than expected).

Fields of papers citing papers by Michael T. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Lu. 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 Michael T. Lu. The network helps show where Michael T. Lu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20251
5 20250
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Skeletal muscle adiposity, coronary microvascular dysfunction, and adverse cardiovascular outcomesbreakdown →
202514
9 20243
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11 20243
12 20245
13 20238
14 20229
15 202221
16 20211
17 202025
18 201996
19 201924
20 2017172

About Michael T. Lu

Michael T. Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Emergency Medicine, Cardiology and Cardiovascular Medicine, Health Informatics and Internal Medicine, having authored 182 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (65 papers), HIV-related health complications and treatments (31 papers), Cardiovascular Disease and Adiposity (23 papers), Cardiovascular Function and Risk Factors (22 papers), Coronary Interventions and Diagnostics (18 papers), Acute Myocardial Infarction Research (17 papers), Lipoproteins and Cardiovascular Health (14 papers) and Radiation Dose and Imaging (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.0k citations), Cardiology and Cardiovascular Medicine (1.4k citations), Internal Medicine (220 citations), Emergency Medicine (567 citations) and Health Informatics (76 citations). Michael T. Lu has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Udo Hoffmann, Thomas Mayrhofer, Maros Ferencik, Pamela S. Douglas, Alexander Ivanov, Stefan B. Puchner, Daniel O. Bittner, Hugo J.W.L. Aerts, Nandini M. Meyersohn and Borek Foldyna. Their work appears in journals such as Journal of cardiovascular computed tomography, JACC. Cardiovascular imaging, Radiology, AIDS and Journal of the American College of Cardiology.

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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