Fang‐Yu Chang

958 citations
38 papers · 684 · h-index 16

Impact in

Papers in

Fang‐Yu Chang

38 papers receiving 671 citations

Peers

Fang‐Yu Chang
Comparison fields: 5 of 134
  • Pollution 117
  • Molecular Medicine 44
  • Neuropsychology and Physiological Psychology 10
  • Health, Toxicology and Mutagenesis 77
  • Demography 64
Replace Fatima Hassan with:
Fatima Hassan Iran
Ricardo Silva Portugal
C. Gopinath United Kingdom
Haimei Huang Taiwan
Hai Won Chung South Korea
Mi Sun Choi South Korea
Jonathan A. Lal India
Ke Wu China
Munazza Fatima Pakistan
Fang‐Yu Chang relative to Fatima Hassan Iran Fatima Hassan's profile →
Citations per field
00.5×4.6×
Fatima Hassan · 1×
Citations per year

Countries citing papers authored by Fang‐Yu Chang

Since Specialization
Citations

This map shows the geographic impact of Fang‐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 Fang‐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 Fang‐Yu Chang more than expected).

Fields of papers citing papers by Fang‐Yu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fang‐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 Fang‐Yu Chang Line = papers co-authored together Fang‐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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019104
2 201689
3 201354
4 201349
5 201133
6 201830
7 201328
8 201925
9 201224
10 201520
11 202218
12 201817
13 201917
14 201416
15 202015
16 201415
17 201914
18 202013
19 202412
20 201410

About Fang‐Yu Chang

Fang‐Yu Chang is a scholar working on Molecular Biology, Plant Science, Oncology, Organic Chemistry and Pharmacology, having authored 38 papers that have together received 684 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (4 papers), Plant Pathogens and Fungal Diseases (2 papers), Allergic Rhinitis and Sensitization (2 papers), Glaucoma and retinal disorders (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Genomics and Phylogenetic Studies (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Pollution (117 citations), Molecular Medicine (44 citations), Neuropsychology and Physiological Psychology (10 citations), Health, Toxicology and Mutagenesis (77 citations) and Demography (64 citations). Fang‐Yu Chang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yang Pan, Peng Shi, Qing Zhou, Aimin Li, Kuo‐Shyang Jeng, Huaicheng Zhang, I‐Shyan Sheen, Lin Ye, Ching‐Ju Chiu and Yi‐Han Hu. Their work appears in journals such as OncoTargets and Therapy, World Allergy Organization Journal, Chemosphere, Scientific Reports and Tetrahedron.

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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