Shi-Jye Chu

84 papers receiving 1.9k citations

Peers

Shi-Jye Chu
Comparison fields: 5 of 103
  • Immunology and Allergy 113
  • Physiology 422
  • Immunology 307
  • Pulmonary and Respiratory Medicine 367
  • Critical Care and Intensive Care Medicine 52
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D. N. Granger United States
Nicolas Schlegel Germany
Joseph N. Benoit United States
Theresa W. Gauthier United States
Jörg Reutershan Germany
Mitsuhiro Uchiba Japan
Michael Yaron Israel
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Citations per field
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D. N. Granger · 1×
Citations per year

Countries citing papers authored by Shi-Jye Chu

Since Specialization
Citations

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

Fields of papers citing papers by Shi-Jye Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi-Jye Chu. 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 Shi-Jye Chu. The network helps show where Shi-Jye Chu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002340
2 1997137
3 201073
4 201465
5 202156
6 201554
7 201749
8
Pharmacological modulation of TNF production in macrophages.
200445
9 200544
10 201342
11 200939
12 200838
13 201036
14 201032
15 201131
16 200228
17 200628
18 200026
19
Effects of various antioxidants on endotoxin-induced lung injury and gene expression: mRNA expressions of MnSOD, interleukin-1beta and iNOS.
200426
20 200225

About Shi-Jye Chu

Shi-Jye Chu is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (7 papers), Neonatal Respiratory Health Research (5 papers), Salivary Gland Disorders and Functions (4 papers), Immune Response and Inflammation (4 papers), Cardiac Arrest and Resuscitation (4 papers), Ion channel regulation and function (4 papers), Trauma Management and Diagnosis (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). The work is most often cited by research in Immunology and Allergy (113 citations), Physiology (422 citations), Immunology (307 citations), Pulmonary and Respiratory Medicine (367 citations) and Critical Care and Intensive Care Medicine (52 citations). Shi-Jye Chu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shih‐Hung Tsai, Kun‐Lun Huang, Shuyu Wu, William R. Henderson, Wen-I Liao, Shih-En Tang, Mechthild Jonas, Yen‐Yue Lin, Hsin‐Ping Pao and Chin‐Pyng Wu. Their work appears in journals such as The American Journal of Emergency Medicine, Critical Care Medicine, The American Journal of the Medical Sciences, Pulmonary Pharmacology & Therapeutics and International Immunopharmacology.

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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