Chia‐Ming Chang

907 citations
16 papers · 716 · h-index 11

Impact in

Papers in

    • Pluripotent Stem Cells Research 4
    • RNA Interference and Gene Delivery 2
    • CRISPR and Genetic Engineering 2
    • Glycosylation and Glycoproteins Research 1
    • Proteoglycans and glycosaminoglycans research 2

Chia‐Ming Chang

16 papers receiving 685 citations

Peers

Chia‐Ming Chang
Comparison fields: 5 of 85
  • Developmental Neuroscience 71
  • Genetics 84
  • Biomaterials 97
  • Molecular Biology 350
  • Geriatrics and Gerontology 12
Replace Hiromi Kawai with:
Hiromi Kawai Japan
Lingling Hou China
Shuihua Zhang China
Haoli Wang China
C. Fornieri Italy
Yanyan Li China
Shan Liu China
Ping Liang China
Chia‐Ming Chang relative to Hiromi Kawai Japan Hiromi Kawai's profile →
Citations per field
00.5×6.1×
Hiromi Kawai · 1×
Citations per year

Countries citing papers authored by Chia‐Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chia‐Ming 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 Chia‐Ming Chang Line = papers co-authored together Chia‐Ming Chang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2010158
2 2008136
3 200996
4 201075
5 201170
6
Isolation of an effective debriding agent from the stems of pineapple plants.
198343
7 202135
8 200927
9 201825
10 198316
11 200410
12 197910
13 20069
14 20124
15 20131
16 19871

About Chia‐Ming Chang

Chia‐Ming Chang is a scholar working on Molecular Biology, Cell Biology, Pediatrics, Perinatology and Child Health, Biomaterials and Genetics, having authored 16 papers that have together received 716 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), RNA Interference and Gene Delivery (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Prenatal Screening and Diagnostics (2 papers), CRISPR and Genetic Engineering (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Developmental Neuroscience (71 citations), Genetics (84 citations), Biomaterials (97 citations), Molecular Biology (350 citations) and Geriatrics and Gerontology (12 citations). Chia‐Ming Chang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Xi‐Wen Du, J.C. Huang, Yuh-Lih Chang, Hsin-Yang Li, Chin‐Wen Chi, Hsin‐Chen Lee, Shih‐Jie Chou, Lung-Kuo Tai, Hung‐Hai Ku and Shih‐Jen Chen. Their work appears in journals such as Stem Cells and Development, Scripta Materialia, Viruses, Ageing Research Reviews and Biomaterials.

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.

Explore authors with similar magnitude of impact