Wan‐Ting Chang

534 citations
36 papers · 403 · h-index 13

Impact in

Papers in

Wan‐Ting Chang

35 papers receiving 396 citations

Peers

Wan‐Ting Chang
Comparison fields: 5 of 102
  • Health, Toxicology and Mutagenesis 163
  • Developmental Neuroscience 16
  • Pollution 43
  • Behavioral Neuroscience 10
  • Molecular Medicine 11
Replace Katherine E. Zychowski with:
Katherine E. Zychowski United States
Roxana Weil United States
Ping Yu China
Virgínia Cunha Portugal
Kimberly Zaccaria United States
M S Golub United States
Julie Miller United States
Te Liu China
Yuko Shinohara Japan
Wan‐Ting Chang relative to Katherine E. Zychowski United States Katherine E. Zychowski's profile →
Citations per field
00.5×3.7×
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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201951
2 202034
3 202228
4 200927
5 201925
6 200724
7 202216
8 200615
9 201415
10 202114
11 202214
12 202012
13 201512
14
Recovery of Color Images by Composed Associative Mining and Edge Detection.
201010
15 20239
16 20239
17 20238
18 20148
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 36 papers that have together received 403 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 (163 citations), Developmental Neuroscience (16 citations), Pollution (43 citations), Behavioral Neuroscience (10 citations) and Molecular Medicine (11 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, Ming‐Chi Wei, Jen‐Fon Jen, Min-Lang Tsai, Fwu‐Long Mi, Chien-Ho Chen and Wei‐Yu Chen. Their work appears in journals such as Frontiers in Public Health, Marine Pollution Bulletin, Biomedicines, Antioxidants and Toxics.

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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