Hsu-Tah Kuo

451 citations
11 papers · 352 · h-index 9

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Antifungal resistance and susceptibility
    • Lung Cancer Treatments and Mutations
    • Lung Cancer Diagnosis and Treatment
    • Respiratory Support and Mechanisms

Papers in

Hsu-Tah Kuo

11 papers receiving 337 citations

Peers

Hsu-Tah Kuo
Comparison fields: 5 of 62
  • Infectious Diseases 99
  • Pulmonary and Respiratory Medicine 157
  • Critical Care and Intensive Care Medicine 11
  • Oncology 57
  • Immunology 42
Replace S. Mistry with:
S. Mistry United States
Thierry Hernández‐Gilsoul Mexico
Ana Luiza Schneider Moreira Brazil
Amel Lakhal Tunisia
Jean‐Jacques Tudesq France
Katja Masjosthusmann Germany
Kudret Ekız Türkiye
Hidekazu Matsushima Japan
Rodrigo Vazquez Guillamet United States
Tran Quy Vietnam
Hsu-Tah Kuo relative to S. Mistry United States S. Mistry's profile →
Citations per field
00.5×10×13.7×
S. Mistry · 1×
Citations per year

Countries citing papers authored by Hsu-Tah Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Hsu-Tah Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsu-Tah Kuo. 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 Hsu-Tah Kuo. The network helps show where Hsu-Tah Kuo may publish in the future.

Co-authors

The 17 scholars most cited alongside Hsu-Tah Kuo, 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 Hsu-Tah Kuo Line = papers co-authored together Hsu-Tah Kuo links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2005104
2 200553
3 200453
4 200642
5 200629
6 200521
7 200719
8 200512
9 20198
10 20066
11 20055

About Hsu-Tah Kuo

Hsu-Tah Kuo is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Epidemiology, Surgery and Emergency Medicine, having authored 11 papers that have together received 352 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (2 papers), Lung Cancer Treatments and Mutations (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Tuberculosis Research and Epidemiology (1 paper), Antifungal resistance and susceptibility (1 paper), Inflammation biomarkers and pathways (1 paper), Vascular Malformations and Hemangiomas (1 paper) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Infectious Diseases (99 citations), Pulmonary and Respiratory Medicine (157 citations), Critical Care and Intensive Care Medicine (11 citations), Oncology (57 citations) and Immunology (42 citations). Hsu-Tah Kuo has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ruey-Kuen Hsieh, Ching‐Lung Liu, Ken‐Hong Lim, Chin‐Yuan Tzen, Ming-Jer Huang, Yen‐Ta Lu, Han-Pin Kuo, Jian Su, Chang-Yi Lin and Chi‐Yuan Tzen. Their work appears in journals such as CHEST Journal, Journal of Critical Care, Journal of Emergency Medicine, Medical Oncology and Respiratory Medicine.

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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