Albert Hsiao

3.3k citations
98 papers · 2.0k · h-index 26

Impact in

Papers in

Albert Hsiao

90 papers receiving 2.0k citations

Peers

Albert Hsiao
Comparison fields: 5 of 129
  • Health Informatics 96
  • Radiology, Nuclear Medicine and Imaging 882
  • Cardiology and Cardiovascular Medicine 558
  • Pulmonary and Respiratory Medicine 470
  • Epidemiology 482
Replace Sergios Gatidis with:
Sergios Gatidis Germany
Evrim Türkbey United States
Nickolas Papanikolaou Greece
Jonathan Weir‐McCall United Kingdom
Andrew J. Swift United Kingdom
Alexander Cavallaro Germany
Martina Sollini Italy
Alois M. Sprinkart Germany
Krishna Kandarpa United States
Yun Wang China
Albert Hsiao relative to Sergios Gatidis Germany Sergios Gatidis's profile →
Citations per field
00.5×
Sergios Gatidis · 1×
Citations per year

Countries citing papers authored by Albert Hsiao

Since Specialization
Citations

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

Fields of papers citing papers by Albert Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009143
2 201998
3 201595
4 202091
5 201286
6 200582
7 201280
8 201273
9 201870
10 200467
11 200764
12 201957
13 201453
14 202048
15 201448
16 201447
17 201943
18 202142
19 200842
20 201141

About Albert Hsiao

Albert Hsiao is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Epidemiology and Surgery, having authored 98 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (21 papers), Cardiac Imaging and Diagnostics (19 papers), Congenital Heart Disease Studies (15 papers), Cardiac Valve Diseases and Treatments (12 papers), Cardiovascular Function and Risk Factors (10 papers), Lung Cancer Diagnosis and Treatment (9 papers), COVID-19 diagnosis using AI (7 papers) and Pulmonary Hypertension Research and Treatments (7 papers). The work is most often cited by research in Health Informatics (96 citations), Radiology, Nuclear Medicine and Imaging (882 citations), Cardiology and Cardiovascular Medicine (558 citations), Pulmonary and Respiratory Medicine (470 citations) and Epidemiology (482 citations). Albert Hsiao has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Shreyas Vasanawala, Marcus T. Alley, Michael Lustig, Shankar Subramaniam, Evan Masutani, Naeim Bahrami, Jerrold M. Olefsky, Tara Retson, Seth Kligerman and Dorothy D. Sears. Their work appears in journals such as Radiology Cardiothoracic Imaging, Journal of Magnetic Resonance Imaging, Radiology Artificial Intelligence, Radiology and Journal of Cardiovascular Magnetic Resonance.

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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