Shih Wei Wang

402 citations
13 papers · 356 · h-index 7

Impact in

    • Sphingolipid Metabolism and Signaling
    • Lipid Membrane Structure and Behavior
    • Protein Kinase Regulation and GTPase Signaling
    • Endoplasmic Reticulum Stress and Disease

Papers in

Shih Wei Wang

13 papers receiving 349 citations

Peers

Shih Wei Wang
Comparison fields: 5 of 69
  • Molecular Biology 260
  • Cell Biology 51
  • Immunology 58
  • Physiology 11
  • Physiology 41
Replace Swetha Pavani Rao with:
Swetha Pavani Rao United States
Y. Toyota Japan
Fabian Fischer Germany
Darko Ćirić Serbia
Peihong Zhu China
Yuyuan Zhu China
Koichi Inoue Japan
Vinoj George United Kingdom
Csaba Váradi Hungary
Takaharu Sakuragi Japan
Shih Wei Wang relative to Swetha Pavani Rao United States Swetha Pavani Rao's profile →
Citations per field
00.5×1.5×2.1×
Swetha Pavani Rao · 1×
Citations per year

Countries citing papers authored by Shih Wei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shih Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih Wei Wang. 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 Shih Wei Wang. The network helps show where Shih Wei Wang may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2005138
2 2007121
3 201525
4 199620
5 199715
6 19969
7 20106
8 20096
9 20145
10 19974
11 20144
12 20152
13 20051

About Shih Wei Wang

Shih Wei Wang is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials, Immunology, Electrical and Electronic Engineering and Mechanics of Materials, having authored 13 papers that have together received 356 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (5 papers), Copper Interconnects and Reliability (4 papers), Semiconductor materials and devices (3 papers), Metal and Thin Film Mechanics (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Liver physiology and pathology (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Molecular Biology (260 citations), Cell Biology (51 citations), Immunology (58 citations), Physiology (11 citations) and Physiology (41 citations). Shih Wei Wang has collaborated with scholars based in Taiwan, Canada and Spain. Frequent co-authors include Urs P. Steinbrecher, Antonio Gómez‐Muñoz, Jennifer Y. Kong, Patricia Gangoiti, María H. Granado, Vincent Duronio, Monika González-Lopez, B Salh, Ken Kuljit S. Parhar and Richard Kolesnick. Their work appears in journals such as Applied Physics Letters, FEBS Letters, Analytical Letters, Japanese Journal of Applied Physics and Journal of Lipid Research.

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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