Cheng-Chi Chang

1.2k citations
27 papers · 958 · h-index 17

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Connective Tissue Growth Factor Research
    • TGF-β signaling in diseases
    • Circular RNAs in diseases
    • Sphingolipid Metabolism and Signaling

Papers in

    • Connective Tissue Growth Factor Research 7
    • TGF-β signaling in diseases 4
    • Angiogenesis and VEGF in Cancer 4
    • Metabolism, Diabetes, and Cancer 2
    • Hedgehog Signaling Pathway Studies 2

Cheng-Chi Chang

27 papers receiving 944 citations

Peers

Cheng-Chi Chang
Comparison fields: 5 of 92
  • Cancer Research 206
  • Molecular Biology 584
  • Cell Biology 127
  • Immunology 156
  • Oncology 184
Replace Qiuxia Dai with:
Qiuxia Dai United States
Erik R. Sampson United States
Katharina Röck Germany
Kazuki Okamura Japan
Simon Blake United States
Elizabeth M. Leaf United States
Sophia Liu United States
Weimin Qiu China
Sarah Hatsell United States
Tiziana Apuzzo Italy
Cheng-Chi Chang relative to Qiuxia Dai United States Qiuxia Dai's profile →
Citations per field
00.5×1.5×2.4×
Qiuxia Dai · 1×
Citations per year

Countries citing papers authored by Cheng-Chi Chang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Chi Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Chi 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 Cheng-Chi Chang. The network helps show where Cheng-Chi Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008111
2 2008105
3 2013104
4 200584
5 200858
6 201551
7 201650
8 200746
9 200745
10 199744
11 200840
12 199338
13 201136
14 201426
15 201123
16 201418
17 201317
18 201213
19 201511
20 201310

About Cheng-Chi Chang

Cheng-Chi Chang is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Surgery, having authored 27 papers that have together received 958 indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (7 papers), TGF-β signaling in diseases (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Galectins and Cancer Biology (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Elasticity and Wave Propagation (2 papers). The work is most often cited by research in Cancer Research (206 citations), Molecular Biology (584 citations), Cell Biology (127 citations), Immunology (156 citations) and Oncology (184 citations). Cheng-Chi Chang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Min‐Liang Kuo, Chia‐Yu Chu, Been‐Ren Lin, Szu‐Ta Chen, King‐Jen Chang, Ekambaranellore Prakash, Hsinyu Lee, Po‐Huang Lee, Chiung‐Nien Chen and Yung‐Ming Jeng. Their work appears in journals such as Annals of Surgical Oncology, Journal of Sound and Vibration, The Journal of Pediatrics, Clinical Cancer Research and Cancer Biomarkers.

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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