Miyoung Chun
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
Papers in
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- Cell Image Analysis Techniques 4
-
- Photoreceptor and optogenetics research 3
- Neuroscience and Neural Engineering 2
- Co-authors
- A. Paul Alivisatos (3 shared papers)Michael Lee Roukes (2 shared papers)Rafael Yuste (2 shared papers)George M. Church (2 shared papers)Ralph J. Greenspan (2 shared papers)Eoin Brodie (1 shared paper)Jack A. Gilbert (1 shared paper)Mary E. Maxon (1 shared paper)
- Journals
- Neuron (6 papers)Applied Categorical Structures (1 paper)Big Data (1 paper)Nature Medicine (1 paper)Science (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Miyoung Chun
11 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 148
- Biophysics 132
- Cognitive Neuroscience 433
- Cellular and Molecular Neuroscience 379
- Structural Biology 10
- Information Systems and Management 41
Countries citing papers authored by Miyoung Chun
This map shows the geographic impact of Miyoung Chun'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 Miyoung Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miyoung Chun more than expected).
Fields of papers citing papers by Miyoung Chun
This network shows the impact of papers produced by Miyoung Chun. 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 Miyoung Chun. The network helps show where Miyoung Chun may publish in the future.
Co-authors
The 25 scholars most cited alongside Miyoung Chun, 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 | 2012 | 393 | |
| 2 | 2013 | 263 | |
| 3 | 2015 | 178 | |
| 4 | 2015 | 110 | |
| 5 | 2015 | 37 | |
| 6 | 2016 | 33 | |
| 7 | 2016 | 24 | |
| 8 | 2016 | 24 | |
| 9 | 2015 | 14 | |
| 10 | 2018 | 5 | |
| 11 | Tools for the Microbiome: Nano and Beyond | 2015 | 3 |
| 12 | 2013 | 0 |
About Miyoung Chun
Miyoung Chun is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Physiology and Information Systems and Management, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Functional Brain Connectivity Studies (3 papers), Photoreceptor and optogenetics research (3 papers), Neuroscience and Neural Engineering (2 papers), Neural dynamics and brain function (2 papers), Advanced Memory and Neural Computing (2 papers), Gut microbiota and health (2 papers) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Biophysics (132 citations), Cognitive Neuroscience (433 citations), Cellular and Molecular Neuroscience (379 citations), Structural Biology (10 citations) and Information Systems and Management (41 citations). Miyoung Chun has collaborated with scholars based in United States and Germany. Frequent co-authors include A. Paul Alivisatos, Michael Lee Roukes, Rafael Yuste, George M. Church, Ralph J. Greenspan, Eoin Brodie, Jack A. Gilbert, Mary E. Maxon, Jeff F. Miller and Katherine S. Pollard. Their work appears in journals such as Neuron, Applied Categorical Structures, Big Data, Nature Medicine and Science.
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.