Li-Ching Chang

43 papers receiving 1.0k citations

Peers

Li-Ching Chang
Comparison fields: 5 of 119
  • Food Science 173
  • Toxicology 32
  • Cancer Research 135
  • Molecular Biology 447
  • Pharmaceutical Science 36
Replace Wilbert P. Vermeij with:
Wilbert P. Vermeij Netherlands
Dong Kwon Yang South Korea
Kirti Patel India
Philipp R. Esser Germany
Jin Han China
Sun Joo Lee South Korea
Shagufta Moin India
Gabriela Figueroa‐González Mexico
Shahriar Alipour Iran
Li-Ching Chang relative to Wilbert P. Vermeij Netherlands Wilbert P. Vermeij's profile →
Citations per field
00.5×1.5×2.4×
Wilbert P. Vermeij · 1×
Citations per year

Countries citing papers authored by Li-Ching Chang

Since Specialization
Citations

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

Fields of papers citing papers by Li-Ching Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016223
2 2000124
3 200790
4 199884
5 200460
6 200958
7 199944
8 200739
9 199536
10 201130
11 202025
12 201222
13
TP53 codon 72 Gene Polymorphism Paradox in Associated with Various Carcinoma Incidences, Invasiveness and Chemotherapy Responses.
200821
14 200820
15 201419
16 200818
17 202010
18 199810
19 20239
20 20189

About Li-Ching Chang

Li-Ching Chang is a scholar working on Molecular Biology, Surgery, Cancer Research, Urology and Gastroenterology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gastroesophageal reflux and treatments (6 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Potato Plant Research (4 papers), Eosinophilic Esophagitis (4 papers), Dysphagia Assessment and Management (3 papers), Urinary Bladder and Prostate Research (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Food Science (173 citations), Toxicology (32 citations), Cancer Research (135 citations), Molecular Biology (447 citations) and Pharmaceutical Science (36 citations). Li-Ching Chang has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Kou‐Wha Kuo, Tong‐Rong Tsai, Yu‐Sheng Huang, Chia‐Hua Liang, Li‐Yen Shiu, Hamm‐Ming Sheu, Chien-Hsiun Chen, Pei‐Ei Wu, Fu‐Tong Liu and Jeh‐Jeng Wang. Their work appears in journals such as Molecules, Biochemical and Biophysical Research Communications, Scientific Reports, Molecular Biology Reports and Biochemical Pharmacology.

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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