An‐Chen Chang

1.2k citations
37 papers · 947 · h-index 20

Impact in

Papers in

    • Connective Tissue Growth Factor Research 10
    • Wnt/β-catenin signaling in development and cancer 3
    • Bone health and treatments 6
    • Lymphatic System and Diseases 5

An‐Chen Chang

35 papers receiving 938 citations

Peers

An‐Chen Chang
Comparison fields: 5 of 79
  • Cancer Research 275
  • Endocrine and Autonomic Systems 61
  • Oncology 232
  • Molecular Biology 565
  • Immunology and Allergy 41
Replace Wei‐Hung Yang with:
Wei‐Hung Yang Taiwan
Anil K. Kamaraju United States
Juanjuan Ou China
Soumi Kundu United States
Satoko Morohashi Japan
Riccardo Chiusaroli United States
Pierre-Yves Desprez United States
Matteo Pecoraro Switzerland
Jean-Philippe Coppé United States
Pacôme Lecot France
An‐Chen Chang relative to Wei‐Hung Yang Taiwan Wei‐Hung Yang's profile →
Citations per field
00.5×4.7×
Wei‐Hung Yang · 1×
Citations per year

Countries citing papers authored by An‐Chen Chang

Since Specialization
Citations

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

Fields of papers citing papers by An‐Chen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside An‐Chen 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 An‐Chen Chang Line = papers co-authored together An‐Chen 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 201868
2 201765
3 201861
4 201757
5 201557
6 202052
7 201450
8 201643
9 201341
10 201340
11 202139
12 201938
13 201632
14 202130
15 201628
16 202026
17 202126
18 202221
19 202020
20 201819

About An‐Chen Chang

An‐Chen Chang is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Immunology, having authored 37 papers that have together received 947 indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (10 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers), Bone health and treatments (6 papers), Lymphatic System and Diseases (5 papers), Protease and Inhibitor Mechanisms (4 papers), Autophagy in Disease and Therapy (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Cancer Research (275 citations), Endocrine and Autonomic Systems (61 citations), Oncology (232 citations), Molecular Biology (565 citations) and Immunology and Allergy (41 citations). An‐Chen Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chih‐Hsin Tang, Shih‐Wei Wang, Chun‐Hao Tsai, Po‐Chun Chen, Chun-Hung Hua, Huai‐Ching Tai, Ming-Hsui Tsai, Kuang‐Yu Chou, Ju‐Fang Liu and Te‐Fu Tsai. Their work appears in journals such as Journal of Cellular Physiology, Oncotarget, Cell Death and Disease, Frontiers in Immunology and International Journal of Biological Sciences.

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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