Yuan‐Yen Chang

2.5k total citations
81 papers, 2.0k citations indexed

About

Yuan‐Yen Chang is a scholar working on Molecular Biology, Epidemiology and Plant Science. According to data from OpenAlex, Yuan‐Yen Chang has authored 81 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 14 papers in Epidemiology and 10 papers in Plant Science. Recurrent topics in Yuan‐Yen Chang's work include Pharmacological Effects of Natural Compounds (6 papers), Natural product bioactivities and synthesis (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Yuan‐Yen Chang is often cited by papers focused on Pharmacological Effects of Natural Compounds (6 papers), Natural product bioactivities and synthesis (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Yuan‐Yen Chang collaborates with scholars based in Taiwan, China and United States. Yuan‐Yen Chang's co-authors include Yi‐Chen Chen, Hui‐Wen Lin, Deng‐Jye Yang, Yi‐Ching Wang, Yi‐Ling Lin, Cheng‐Wei Liu, Chih‐Hsien Chiu, Chih Yi Chen, Pinpin Lin and Yi‐Ling Lin and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Yuan‐Yen Chang

78 papers receiving 2.0k citations

Peers

Yuan‐Yen Chang
Comparison fields: 5 of 119
  • Molecular Biology 746
  • Epidemiology 303
  • Oncology 285
  • Biochemistry 219
  • Physiology 195
Replace Hui Chang with:
Hui Chang China
Halagowder Devaraj India
Young‐Rae Lee South Korea
Min Won Lee South Korea
Joo Weon Lim South Korea
Isabel Ballester Spain
Sang‐Wook Kang South Korea
Ranajoy Chattopadhyay United States
Sung‐Kwon Moon South Korea
Dandan Wu China
Hui Chang China View profile →
Citations per field, relative to Yuan‐Yen Chang
Yuan‐Yen Chang · 1×
Citations per year, relative to Yuan‐Yen Chang
Yuan‐Yen Chang · 1×

Countries citing papers authored by Yuan‐Yen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Yen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Yen 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 Yuan‐Yen Chang. The network helps show where Yuan‐Yen Chang may publish in the future.

Co-authorship network of co-authors of Yuan‐Yen Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Yen Chang. A scholar is included among the top collaborators of Yuan‐Yen Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuan‐Yen Chang. Yuan‐Yen Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 12
4 1
5 14
6 31
7 22
8 12
9 5
10 35
11 32
12 18
13 64
14 23
15 27
16 77
17 28
18 9
19 36
20
p53 codon 72 polymorphism in Taiwanese lung cancer patients: association with lung cancer susceptibility and prognosis.
155

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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