Shuenn-Chen Yang

1.8k citations
22 papers · 1.5k · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 5%
    • Cancer Cells and Metastasis

Papers in

Shuenn-Chen Yang

22 papers receiving 1.5k citations

Peers

Shuenn-Chen Yang
Comparison fields: 5 of 98
  • Cancer Research 375
  • Oncology 474
  • Molecular Biology 994
  • Neurology 94
  • Cell Biology 183
Replace Smitha Pillai with:
Smitha Pillai United States
Qingkai Yang China
Marta Mellai Italy
Joseph Negri United States
Roberto Würth Italy
Rosaria Gangemi Italy
Alice Loo United States
Jill Wykosky United States
Ruben Boon Belgium
Malin Wickström Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Shuenn-Chen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shuenn-Chen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuenn-Chen Yang. 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 Shuenn-Chen Yang. The network helps show where Shuenn-Chen Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997384
2 2005191
3 2012170
4 2007163
5 2008146
6 201676
7 200345
8 200942
9 201937
10 201337
11 201134
12 200927
13 202027
14 201525
15 201423
16 200922
17 201222
18 201518
19 200817
20 199713

About Shuenn-Chen Yang

Shuenn-Chen Yang is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Pulmonary and Respiratory Medicine and Plant Science, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Phytochemistry and biological activities of Ficus species (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Cancer Cells and Metastasis (2 papers), Cancer-related molecular mechanisms research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cancer Research (375 citations), Oncology (474 citations), Molecular Biology (994 citations), Neurology (94 citations) and Cell Biology (183 citations). Shuenn-Chen Yang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Pan‐Chyr Yang, Tse‐Ming Hong, Reen Wu, Mary J.C. Hendrix, Yi-Wen Chu, Cheng‐Wen Wu, Yu‐Chiau Shyu, Jin‐Yuan Shih, Yi-Ying Wu and Szu‐Hua Pan. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Journal of Medicinal Chemistry, Clinical Cancer Research, Molecular Cancer Therapeutics and European Journal of Medicinal Chemistry.

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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