Shu‐Hui Su

21 papers receiving 417 citations

Peers

Shu‐Hui Su
Comparison fields: 5 of 102
  • Rehabilitation 30
  • Hepatology 34
  • Geriatrics and Gerontology 12
  • Biochemistry 18
  • Physiology 71
Replace Alessandra Dicitore with:
Alessandra Dicitore Italy
Pei‐Yi Tsai Taiwan
Ming-Ling Hsu Taiwan
Mengli Yu China
Nina Grossmann Germany
Shenglong Zhu China
Xueliang Yang China
Hsiao‐Yen Ma United States
Hye Sook Hwang South Korea
Adrienn Sipos Hungary
Shu‐Hui Su relative to Alessandra Dicitore Italy Alessandra Dicitore's profile →
Citations per field
00.5×3.1×
Alessandra Dicitore · 1×
Citations per year

Countries citing papers authored by Shu‐Hui Su

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Hui Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Hui 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 Shu‐Hui Su. The network helps show where Shu‐Hui Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201460
2 201848
3 201342
4 200339
5 201537
6 201336
7 201325
8 200924
9 201122
10 200121
11 200120
12 200617
13 200610
14 20236
15 20145
16
Exercise enhances surfactant-mediated phagocytosis in bronchoalveolar macrophages.
20053
17 20223
18
[Influence of platelet activating factor and its antagonist on portal hypertension associated with liver cirrhosis: an experiment with rats].
20052
19 20241
20 20081

About Shu‐Hui Su

Shu‐Hui Su is a scholar working on Molecular Biology, Epidemiology, Hepatology, Pulmonary and Respiratory Medicine and Physiology, having authored 21 papers that have together received 423 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Liver Disease and Transplantation (2 papers), Liver physiology and pathology (2 papers), Inhalation and Respiratory Drug Delivery (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Exercise and Physiological Responses (2 papers), Immune Response and Inflammation (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Rehabilitation (30 citations), Hepatology (34 citations), Geriatrics and Gerontology (12 citations), Biochemistry (18 citations) and Physiology (71 citations). Shu‐Hui Su has collaborated with scholars based in Taiwan and China. Frequent co-authors include Shu-Jem Su, Yao‐Tsung Yeh, Huey-Wen Shyu, Chauying J. Jen, Hsiun‐ing Chen, Kee‐Lung Chang, Kuan‐Ming Chen, Shinne‐Ren Lin, Zifeng Chen and Shengyun Huang. Their work appears in journals such as Free Radical Biology and Medicine, Food and Chemical Toxicology, Journal of Leukocyte Biology, Thrombosis and Haemostasis and PROTEOMICS.

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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