I-Hao Su

689 citations
20 papers · 550 · h-index 7

Impact in

Papers in

I-Hao Su

19 papers receiving 539 citations

Peers

I-Hao Su
Comparison fields: 5 of 43
  • Pulmonary and Respiratory Medicine 376
  • Critical Care and Intensive Care Medicine 11
  • Surgery 87
  • Radiology, Nuclear Medicine and Imaging 38
  • Microbiology 1
Replace Tsuyoshi Hyodo with:
Tsuyoshi Hyodo Japan
Francis D. Sheski United States
Mark Bowling United States
Ali Zamir Khan India
Christoph Berliner Germany
Juergen Hetzel Germany
Martin Hürtgen Germany
Roy Semaan United States
Macarena R. Vial United States
Philippe Puyo France
I-Hao Su relative to Tsuyoshi Hyodo Japan Tsuyoshi Hyodo's profile →
Citations per field
00.5×2×4×6×7.4×
Tsuyoshi Hyodo · 1×
Citations per year

Countries citing papers authored by I-Hao Su

Since Specialization
Citations

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

Fields of papers citing papers by I-Hao Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I-Hao Su. 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 I-Hao Su. The network helps show where I-Hao Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2004353
2 200781
3 201140
4 201015
5 202113
6 20118
7 20058
8 20145
9 20184
10 20134
11 20194
12 20203
13 20223
14 20203
15 20172
16
primary Glioblastoma Multiforme in the pineal region: a case report with diagnostic imaging findings, treatment response, and literature review
20101
17
MR Findings of Brainstem Ganglioglioma: Case Report and Review of the Literature
20031
18 20211
19
Unilateral Paranasal Sinusitis Detected by Routine Sinus Computed Tomography: Analysis of Pathology and Image Findings
20111
20 20250

About I-Hao Su

I-Hao Su is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Epidemiology, Genetics and Rheumatology, having authored 20 papers that have together received 550 indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (5 papers), Aortic Disease and Treatment Approaches (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Meningioma and schwannoma management (2 papers), Glioma Diagnosis and Treatment (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (376 citations), Critical Care and Intensive Care Medicine (11 citations), Surgery (87 citations), Radiology, Nuclear Medicine and Imaging (38 citations) and Microbiology (1 citation). I-Hao Su has collaborated with scholars based in Taiwan. Frequent co-authors include Kee‐Min Yeow, Yun‐Chung Cheung, Kuang‐Tse Pan, Andy Shau–Bin Chou, Kar‐Wai Lui, Pei‐Kwei Tsay, Sung‐Yu Chu, Jui‐Ying Lee, Huiping Liu and Chien‐Ming Chen. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Radiology, Annals of Vascular Surgery, Dentomaxillofacial Radiology and Clinical 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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