Hao S. Lo

799 citations
26 papers · 532 · h-index 11

Impact in

Papers in

Hao S. Lo

26 papers receiving 519 citations

Peers

Hao S. Lo
Comparison fields: 5 of 92
  • Health Informatics 50
  • Cardiology and Cardiovascular Medicine 153
  • Radiology, Nuclear Medicine and Imaging 130
  • Emergency Medicine 36
  • Immunology 75
Replace Stephen T. Vernon with:
Stephen T. Vernon Australia
Elizabeth Le United Kingdom
Robyn L. Ball United States
Melanie C. Bois United States
Ohad Oren United States
Elsie Ross United States
Brenda Valenzuela‐Alcaráz Spain
Pedro V. Staziaki United States
Dan Assaf Israel
Jahan C. Penny‐Dimri Australia
Hao S. Lo relative to Stephen T. Vernon Australia Stephen T. Vernon's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hao S. Lo

Since Specialization
Citations

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

Fields of papers citing papers by Hao S. Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao S. Lo. 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 Hao S. Lo. The network helps show where Hao S. Lo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005161
2 202076
3 200576
4 201144
5 202341
6 200920
7 202016
8 202016
9 202010
10 201610
11 202110
12 20189
13 20208
14 20246
15 20196
16 20184
17 20183
18 20203
19 20253
20
Abstract 2423: Abdominal Aortic Wall-Thickness by Magnetic Resonance Imaging and Cardiovascular Disease in a Multi-ethnic Population-Based Study
20062

About Hao S. Lo

Hao S. Lo is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 532 indexed citations. Recurring topics across this work include Radiology practices and education (5 papers), Quantum Computing Algorithms and Architecture (3 papers), Innovations in Medical Education (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Appendicitis Diagnosis and Management (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Hernia repair and management (2 papers). The work is most often cited by research in Health Informatics (50 citations), Cardiology and Cardiovascular Medicine (153 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Emergency Medicine (36 citations) and Immunology (75 citations). Hao S. Lo has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Ronald M. Peshock, Amit Khera, James A. de Lemos, Sabina A. Murphy, Darren K. McGuire, Frank H. Wians, Scott M. Grundy, Carlos H. Timaran, Eric B. Rosero and Sachin S. Sapatnekar. Their work appears in journals such as Seminars in Ultrasound CT and MRI, Emergency Radiology, Academic Radiology, Circulation and Nature Electronics.

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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