Albert Hsiao

3.4k citations
99 papers · 2.1k · h-index 27

Impact in

Papers in

Albert Hsiao

91 papers receiving 2.0k citations

Peers

Albert Hsiao
Comparison fields: 5 of 123
  • Health Informatics 80
  • Radiology, Nuclear Medicine and Imaging 674
  • Cardiology and Cardiovascular Medicine 393
  • Epidemiology 386
  • Pulmonary and Respiratory Medicine 358
Replace Sergios Gatidis with:
Sergios Gatidis Germany
Evrim Türkbey United States
Nickolas Papanikolaou Greece
Alois M. Sprinkart Germany
Jonathan Weir‐McCall United Kingdom
Krishna Kandarpa United States
Andrew J. Swift United Kingdom
Sven Zuehlsdorff United States
Alexander Cavallaro Germany
Martina Sollini Italy
Albert Hsiao relative to Sergios Gatidis Germany Sergios Gatidis's profile →
Citations per field
00.5×3.1×
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 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009144
2 2019102
3 202097
4 201595
5 201286
6 200582
7 201280
8 201875
9 201274
10 200467
11 200764
12 201957
13 201453
14 201449
15 202048
16 201447
17 201946
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 Molecular Biology, having authored 99 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (13 papers), Advanced MRI Techniques and Applications (13 papers), Congenital Heart Disease Studies (9 papers), Cardiac Valve Diseases and Treatments (8 papers), Lung Cancer Diagnosis and Treatment (8 papers), Pulmonary Hypertension Research and Treatments (7 papers), COVID-19 diagnosis using AI (7 papers) and Aortic Disease and Treatment Approaches (5 papers). The work is most often cited by research in Health Informatics (80 citations), Radiology, Nuclear Medicine and Imaging (674 citations), Cardiology and Cardiovascular Medicine (393 citations), Epidemiology (386 citations) and Pulmonary and Respiratory Medicine (358 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 Brian Hurt. Their work appears in journals such as Radiology Cardiothoracic Imaging, Journal of Magnetic Resonance Imaging, Radiology Artificial Intelligence, Journal of Thoracic Imaging and Radiology.

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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