Shu‐Chin Yip

435 citations
5 papers · 379 · h-index 5

Impact in

  • Toxicology top 10%
    • Bioactive Compounds and Antitumor Agents
    • Galectins and Cancer Biology

Papers in

    • Galectins and Cancer Biology 2
    • Protein Tyrosine Phosphatases 2
    • Nuclear Structure and Function 1
    • RNA modifications and cancer 1
    • RNA Research and Splicing 1
    • PI3K/AKT/mTOR signaling in cancer 1

Shu‐Chin Yip

5 papers receiving 374 citations

Peers

Shu‐Chin Yip
Comparison fields: 5 of 63
  • Toxicology 31
  • Immunology 128
  • Molecular Biology 319
  • Cell Biology 42
  • Cancer Research 29
Replace Shrikrishna S. Dadke with:
Shrikrishna S. Dadke United States
Yusuke Komi Japan
Sayanti Saha United States
Yingli Ma United States
S. Dipikaa Akshinthala United States
Marine Malleter France
Thomas M. Beres United States
Aneta Swat Spain
Jeffrey A. Lefstin United States
Tamara Vervloessem Belgium
Shu‐Chin Yip relative to Shrikrishna S. Dadke United States Shrikrishna S. Dadke's profile →
Citations per field
00.5×1.5×2×2.4×
Shrikrishna S. Dadke · 1×
Citations per year

Countries citing papers authored by Shu‐Chin Yip

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Chin Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Chin Yip. 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 Shu‐Chin Yip. The network helps show where Shu‐Chin Yip may publish in the future.

Co-authors

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

All Works

About Shu‐Chin Yip

Shu‐Chin Yip is a scholar working on Immunology, Molecular Biology, Cell Biology, Pathology and Forensic Medicine and Oncology, having authored 5 papers that have together received 379 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (2 papers), Protein Tyrosine Phosphatases (2 papers), Microtubule and mitosis dynamics (1 paper), Nuclear Structure and Function (1 paper), RNA modifications and cancer (1 paper), RNA Research and Splicing (1 paper), Cancer-related Molecular Pathways (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Toxicology (31 citations), Immunology (128 citations), Molecular Biology (319 citations), Cell Biology (42 citations) and Cancer Research (29 citations). Shu‐Chin Yip has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Jonathan Chernoff, Sayanti Saha, Sophie Cotteret, Benjamin G. Neel, Zahara M. Jaffer, Fawaz G. Haj, Frank J. Rauscher, Ke Shuai, Shrikrishna S. Dadke and Alexey V. Ivanov. Their work appears in journals such as Trends in Biochemical Sciences, Journal of Cell Science, DNA repair, Nature Cell Biology and Cell Motility and the Cytoskeleton.

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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