Wan‐Ting Chang

534 citations
37 papers · 415 · h-index 13

Impact in

Papers in

Wan‐Ting Chang

36 papers receiving 408 citations

Peers

Wan‐Ting Chang
Comparison fields: 5 of 105
  • Health, Toxicology and Mutagenesis 165
  • Developmental Neuroscience 16
  • Pollution 45
  • Behavioral Neuroscience 10
  • Molecular Medicine 12
Replace Katherine E. Zychowski with:
Katherine E. Zychowski United States
Michelle Hui United Kingdom
Linjun Zhou China
M S Golub United States
Roxana Weil United States
Ping Yu China
Valerie C. Minarchick United States
Kimberly Zaccaria United States
Julie Miller United States
Wan‐Ting Chang relative to Katherine E. Zychowski United States Katherine E. Zychowski's profile →
Citations per field
00.5×
Katherine E. Zychowski · 1×
Citations per year

Countries citing papers authored by Wan‐Ting Chang

Since Specialization
Citations

This map shows the geographic impact of Wan‐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 Wan‐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 Wan‐Ting Chang more than expected).

Fields of papers citing papers by Wan‐Ting Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wan‐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 Wan‐Ting Chang Line = papers co-authored together Wan‐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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201954
2 202034
3 202228
4 200927
5 201926
6 200725
7 200617
8 201417
9 202216
10 202115
11 202214
12 202012
13 201512
14
Recovery of Color Images by Composed Associative Mining and Edge Detection.
201010
15 20149
16 20239
17 20239
18 20238
19 20248
20 20228

About Wan‐Ting Chang

Wan‐Ting Chang is a scholar working on Health, Toxicology and Mutagenesis, Pediatrics, Perinatology and Child Health, Pollution, Spectroscopy and Cancer Research, having authored 37 papers that have together received 415 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (16 papers), Toxic Organic Pollutants Impact (7 papers), Birth, Development, and Health (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Analytical Chemistry and Chromatography (2 papers), Analytical chemistry methods development (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (165 citations), Developmental Neuroscience (16 citations), Pollution (45 citations), Behavioral Neuroscience (10 citations) and Molecular Medicine (12 citations). Wan‐Ting Chang has collaborated with scholars based in Taiwan, Hong Kong and United States. Frequent co-authors include Po‐Chin Huang, Hsin‐Chang Chen, Jung-Wei Chang, Han-Bin Huang, Wei‐Yu Chen, Min-Lang Tsai, Chien-Ho Chen, Fwu‐Long Mi, Ming‐Chi Wei and Jen‐Fon Jen. Their work appears in journals such as Frontiers in Public Health, Toxics, Biomedicines, Environment International and Antioxidants.

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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