Kuo-Ting Chang

990 citations
24 papers · 786 · h-index 13

Impact in

    • Lung Cancer Treatments and Mutations
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
  • Oncology top 10%
    • Colorectal Cancer Treatments and Studies
    • HER2/EGFR in Cancer Research
    • Lung Cancer Research Studies

Papers in

Kuo-Ting Chang

23 papers receiving 768 citations

Peers

Kuo-Ting Chang
Comparison fields: 5 of 77
  • Pulmonary and Respiratory Medicine 387
  • Oncology 230
  • Gastroenterology 34
  • Genetics 65
  • Cancer Research 71
Replace John R. Houck with:
John R. Houck United States
Thomas Cerny Switzerland
Yuichiro Miki Japan
Atsushi Takeno Japan
Shinji Mine Japan
Tine Plato Hansen Denmark
Muneaki Shibakita Japan
Po‐Han Lin Taiwan
Jian Suo China
Genichi Nishimura Japan
Kuo-Ting Chang relative to John R. Houck United States John R. Houck's profile →
Citations per field
00.5×3.6×
John R. Houck · 1×
Citations per year

Countries citing papers authored by Kuo-Ting Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kuo-Ting Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005277
2 200773
3 200568
4 200555
5 199353
6 201131
7 201130
8 202129
9 200026
10 201822
11 201022
12 201320
13 200517
14 201812
15 201911
16 201311
17 20189
18 19965
19 20215
20 20193

About Kuo-Ting Chang

Kuo-Ting Chang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Immunology, Oncology and Cancer Research, having authored 24 papers that have together received 786 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Cancer therapeutics and mechanisms (3 papers), Neuroblastoma Research and Treatments (2 papers), Neonatal Health and Biochemistry (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Inflammasome and immune disorders (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (387 citations), Oncology (230 citations), Gastroenterology (34 citations), Genetics (65 citations) and Cancer Research (71 citations). Kuo-Ting Chang has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include Chao‐Hua Chiu, Chun‐Ming Tsai, Reury-Perng Perng, Chun‐Yen Hsiao, Teh‐Ying Chou, Yuh‐Min Chen, Chin‐Yuan Tzen, Ling‐Hui Li, Shih‐Feng Tsai and Yu‐Chung Wu. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, CHEST Journal, Clinical Cancer Research, Toxins and Redox Biology.

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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