Ying‐Hsin Chen

481 citations
16 papers · 380 · h-index 12

Impact in

Papers in

    • Signaling Pathways in Disease 1
    • Wnt/β-catenin signaling in development and cancer 1
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Transcranial Magnetic Stimulation Studies 1

Ying‐Hsin Chen

16 papers receiving 372 citations

Peers

Ying‐Hsin Chen
Comparison fields: 5 of 82
  • Endocrine and Autonomic Systems 50
  • Neurology 46
  • Cancer Research 40
  • Biological Psychiatry 6
  • Endocrinology, Diabetes and Metabolism 39
Replace Chao Lin with:
Chao Lin China
Prakash Subramanyam United States
Yung‐Mei Chao Taiwan
Alejandro González‐Candia Chile
Naomi Cook Australia
Melissa L. Borg Sweden
Isabelle Scerri Switzerland
Brandon Schanbacher United States
Ying‐Hsin Chen relative to Chao Lin China Chao Lin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ying‐Hsin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Hsin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201061
2 201258
3 201536
4 201234
5 200934
6 201231
7 201924
8 201121
9 201718
10 202315
11 201111
12 202011
13
Identification of crustacean hyperglycemic hormone (CHH) and CHH-like (CHH-L) peptides in the crayfish Procambarus clarkii and localization of functionally important regions of CHH
201210
14 20127
15 20136
16 20183

About Ying‐Hsin Chen

Ying‐Hsin Chen is a scholar working on Molecular Biology, Neurology, Cell Biology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 380 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Zebrafish Biomedical Research Applications (3 papers), Cardiovascular and Diving-Related Complications (2 papers), Signaling Pathways in Disease (1 paper), Diabetes Management and Research (1 paper), Trauma and Emergency Care Studies (1 paper), Transcranial Magnetic Stimulation Studies (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (50 citations), Neurology (46 citations), Cancer Research (40 citations), Biological Psychiatry (6 citations) and Endocrinology, Diabetes and Metabolism (39 citations). Ying‐Hsin Chen has collaborated with scholars based in Taiwan, Czechia and United States. Frequent co-authors include Tsung‐Ying Chen, Yu‐Chang Hung, Hung‐Yi Chen, E‐Jian Lee, Tian‐Shung Wu, Sheng‐Yang Huang, Shih‐Hung Tsai, Hsiao‐Wen Lin, Wei‐Ting Lee and Jen‐Chun Wang. Their work appears in journals such as Journal of Pineal Research, Medicine, Experimental Neurology, The FASEB Journal and BMC Psychiatry.

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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