Mighten C. Yip
Impact in
- Bioengineering top 10%
- Analytical Chemistry and Sensors
-
- Electrochemical Analysis and Applications
Papers in
-
- Neuroscience and Neural Engineering 7
- Neuroscience and Neuropharmacology Research 3
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- Neural dynamics and brain function 6
- Co-authors
- Craig R. Forest (8 shared papers)Haakon H. Sigurslid (1 shared paper)Christoffer Abrahamsson (1 shared paper)George M. Whitesides (1 shared paper)Maral P. S. Mousavi (1 shared paper)Shervanthi Homer‐Vanniasinkam (1 shared paper)Alar Ainla (1 shared paper)Yumi Yoshida (1 shared paper)
- Journals
- eNeuro (2 papers)Journal of Materials Chemistry B (1 paper)Scientific Reports (1 paper)Journal of Neural Engineering (1 paper)The Journal of the Acoustical Society of America (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Mighten C. Yip
12 papers receiving 176 citations
Peers
Comparison fields: 5 of 54
- Bioengineering 47
- Electrochemistry 20
- Cellular and Molecular Neuroscience 49
- Biomedical Engineering 77
- Cognitive Neuroscience 33
Countries citing papers authored by Mighten C. Yip
This map shows the geographic impact of Mighten C. 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 Mighten C. Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mighten C. Yip more than expected).
Fields of papers citing papers by Mighten C. Yip
This network shows the impact of papers produced by Mighten C. 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 Mighten C. Yip. The network helps show where Mighten C. Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Mighten C. Yip, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 68 | |
| 2 | 2019 | 29 | |
| 3 | 2019 | 27 | |
| 4 | 2022 | 13 | |
| 5 | 2023 | 12 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2024 | 0 |
About Mighten C. Yip
Mighten C. Yip is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biomedical Engineering, Molecular Biology and Surfaces, Coatings and Films, having authored 13 papers that have together received 178 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (7 papers), Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (3 papers), Receptor Mechanisms and Signaling (2 papers), Polymer Surface Interaction Studies (2 papers), Electrochemical sensors and biosensors (1 paper), Surface Modification and Superhydrophobicity (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Bioengineering (47 citations), Electrochemistry (20 citations), Cellular and Molecular Neuroscience (49 citations), Biomedical Engineering (77 citations) and Cognitive Neuroscience (33 citations). Mighten C. Yip has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Craig R. Forest, Haakon H. Sigurslid, Christoffer Abrahamsson, George M. Whitesides, Maral P. S. Mousavi, Shervanthi Homer‐Vanniasinkam, Alar Ainla, Yumi Yoshida, Mohamed K. Abd El‐Rahman and Yuan Li. Their work appears in journals such as eNeuro, Journal of Materials Chemistry B, Scientific Reports, Journal of Neural Engineering and The Journal of the Acoustical Society of America.
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.