Shao-Win Wang

660 citations
17 papers · 539 indexed · h-index 13

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • Fungal and yeast genetics research
    • DNA Repair Mechanisms

Papers in

    • Microtubule and mitosis dynamics 6
    • Fungal and yeast genetics research 12
    • DNA Repair Mechanisms 8
    • RNA Research and Splicing 7
    • RNA modifications and cancer 3
    • Genomics and Chromatin Dynamics 2
    • Cancer therapeutics and mechanisms 1

Shao-Win Wang

17 papers receiving 532 citations

Peers

Shao-Win Wang
Comparison fields: 5 of 42
  • Molecular Biology 519
  • Aging 10
  • Cell Biology 83
  • Plant Science 78
  • Structural Biology 2
Replace Jennifer F. Garcia with:
Jennifer F. Garcia United States
Paula Vázquez‐Pianzola Switzerland
Peter H. Thorpe United Kingdom
Shikha Laloraya United States
Gianpiero Spedale Netherlands
Sabine Wenzel United States
Haitong Hou United States
Eric J. White United States
Kara J. Helmke United States
Umut Eser United States
Shao-Win Wang relative to Jennifer F. Garcia United States Jennifer F. Garcia's profile →
Citations per field
00.5×1.5×
Jennifer F. Garcia · 1×
Citations per year

Countries citing papers authored by Shao-Win Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shao-Win Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Win 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 Shao-Win Wang. The network helps show where Shao-Win Wang may publish in the future.

Co-authorship network

The 24 scholars most cited alongside Shao-Win 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 Shao-Win Wang Line = papers co-authored together Shao-Win Wang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20231
2 202014
3 202012
4 20204
5 20166
6 201324
7 201232
8 200772
9 20068
10 200669
11 200619
12 200528
13 200419
14 200288
15 200243
16 200057
17 199943

About Shao-Win Wang

Shao-Win Wang is a scholar working on Cell Biology, Molecular Biology, Cancer Research, Neurology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 539 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (12 papers), DNA Repair Mechanisms (8 papers), RNA Research and Splicing (7 papers), Microtubule and mitosis dynamics (6 papers), RNA modifications and cancer (3 papers), Genomics and Chromatin Dynamics (2 papers), Cancer therapeutics and mechanisms (1 paper) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Molecular Biology (519 citations), Aging (10 citations), Cell Biology (83 citations), Plant Science (78 citations) and Structural Biology (2 citations). Shao-Win Wang has collaborated with scholars based in United Kingdom, Taiwan and Sweden. Frequent co-authors include Chris J. Norbury, Rebecca L. Read, Takashi Toda, Thein Z. Win, Abigail Stevenson, Adrian L. Harris, Rui Gonçalo Martinho, Antony M. Carr, Stephen Kearsey and Jürg Bähler. Their work appears in journals such as Molecular and Cellular Biology, Journal of Cell Science, RNA, Life Science Alliance and Nucleic Acids 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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