Hsin-Yu Chang

25 papers receiving 577 citations

Peers

Hsin-Yu Chang
Comparison fields: 5 of 81
  • Infectious Diseases 133
  • Microbiology 44
  • Cancer Research 93
  • Epidemiology 168
  • Immunology 102
Replace Marina Parry with:
Marina Parry United Kingdom
Katsuyuki Adachi Japan
Unni Nonstad Norway
Matthew McConnell United States
David C. Swan United States
Hongyi Pan United States
Xiaoyu Guo China
Sugata Roy South Africa
Afsaneh Keyhani United States
Zvjezdana Sever-Chroneos United States
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Citations per field
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Citations per year

Countries citing papers authored by Hsin-Yu Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hsin-Yu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin-Yu Chang. 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 Hsin-Yu Chang. The network helps show where Hsin-Yu Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201387
2 201462
3 201360
4 201259
5 201730
6 201930
7 201928
8 202127
9 202226
10 202124
11 201924
12 201723
13 202221
14 202015
15
Prolonged intravenous administration of iron to normal and anemic rabbits.
195913
16
Varicella pneumonia complicated by acute respiratory distress syndrome in an adult.
199913
17 202111
18
Esophageal cancer in an esophagus remaining after colonic interposition for lye stricture.
19997
19 20246
20 20135

About Hsin-Yu Chang

Hsin-Yu Chang is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Cancer Research, having authored 27 papers that have together received 586 indexed citations. Recurring topics across this work include interferon and immune responses (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Virus-based gene therapy research (2 papers), Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (2 papers), Respiratory viral infections research (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (133 citations), Microbiology (44 citations), Cancer Research (93 citations), Epidemiology (168 citations) and Immunology (102 citations). Hsin-Yu Chang has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Pei‐Lan Shao, Chun‐Yi Lu, Shiow‐Ju Lee, Cheng‐Wei Yang, Luan‐Yin Chang, Yue‐Zhi Lee, Hsing‐Yu Hsu, Ping‐Ing Lee, Li‐Min Huang and Tao‐Wei Ke. Their work appears in journals such as Cell Death and Disease, Journal of Biomedical Optics, Journal of Microbiology Immunology and Infection, Journal of Engineering Mechanics and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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