Kai‐Yi Wang

437 citations
8 papers · 334 · h-index 6

Impact in

    • Mass Spectrometry Techniques and Applications
    • Advanced Proteomics Techniques and Applications
    • Nanoparticle-Based Drug Delivery

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • Advanced Biosensing Techniques and Applications 2
    • Ion channel regulation and function 1
    • Machine Learning in Bioinformatics 1
    • Neuroscience and Neuropharmacology Research 4

Kai‐Yi Wang

7 papers receiving 329 citations

Peers

Kai‐Yi Wang
Comparison fields: 5 of 104
  • Spectroscopy 61
  • Biomaterials 44
  • Biomedical Engineering 95
  • Molecular Biology 143
  • Analytical Chemistry 19
Replace Julia Ding with:
Julia Ding United States
Thomas Perrier France
Rıfat Emrah Özel United States
О. Б. Шевелев Russia
Alice Soldà Italy
Qing Xiong China
Giuseppe Sancataldo Italy
Seongjae Jo South Korea
Vincenzo Mangini Italy
Christian Beyer Switzerland
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Citations per field
00.5×1.7×
Julia Ding · 1×
Citations per year

Countries citing papers authored by Kai‐Yi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Yi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Yi 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 Kai‐Yi Wang. The network helps show where Kai‐Yi Wang may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2006124
2 201894
3 200871
4 202125
5 201913
6 20175
7 20222
8 20240

About Kai‐Yi Wang

Kai‐Yi Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biomedical Engineering and Surgery, having authored 8 papers that have together received 334 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Memory and Neural Mechanisms (2 papers), Biosensors and Analytical Detection (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Neural dynamics and brain function (2 papers), Ion channel regulation and function (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Spectroscopy (61 citations), Biomaterials (44 citations), Biomedical Engineering (95 citations), Molecular Biology (143 citations) and Analytical Chemistry (19 citations). Kai‐Yi Wang has collaborated with scholars based in Taiwan, Nigeria and Hungary. Frequent co-authors include Yu‐Ju Chen, Chun‐Cheng Lin, Po‐Chiao Lin, Ping‐Hsing Tsai, Chung‐Yuan Mou, Shih-Hwa Chiou, Wen‐Harn Pan, Cheng‐Chang Lien, Gábor Tamás and Jen‐Kun Cheng. Their work appears in journals such as Cell Reports, The Journal of Physiology, Scientific Reports, PROTEOMICS and Small.

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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