Sunyoung Ahn
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Neurobiology of Language and Bilingualism 3
- Genetics 3
- Glioma Diagnosis and Treatment 3
- Co-authors
- Jason K. Rockhill (3 shared papers)Kristin R. Swanson (3 shared papers)Andrew D. Trister (3 shared papers)Russell C. Rockne (3 shared papers)Carly A. Bridge (3 shared papers)Maxwell L. Neal (3 shared papers)Anne Baldock (3 shared papers)Maciej M. Mrugała (2 shared papers)
- Journals
- Applied Linguistics (1 paper)Neurocase (1 paper)Languages (1 paper)International Journal of Human-Computer Interaction (1 paper)Second language Research (1 paper)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Sunyoung Ahn
8 papers receiving 192 citations
Peers
Comparison fields: 5 of 50
- Modeling and Simulation 75
- Genetics 112
- Radiology, Nuclear Medicine and Imaging 79
- Cancer Research 39
- Neurology 10
Countries citing papers authored by Sunyoung Ahn
This map shows the geographic impact of Sunyoung Ahn'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 Sunyoung Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunyoung Ahn more than expected).
Fields of papers citing papers by Sunyoung Ahn
This network shows the impact of papers produced by Sunyoung Ahn. 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 Sunyoung Ahn. The network helps show where Sunyoung Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunyoung Ahn, 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 | 2014 | 62 | |
| 2 | 2013 | 60 | |
| 3 | 2013 | 49 | |
| 4 | 2020 | 9 | |
| 5 | 2022 | 5 | |
| 6 | 2011 | 4 | |
| 7 | 2021 | 2 | |
| 8 | 2023 | 1 |
About Sunyoung Ahn
Sunyoung Ahn is a scholar working on Cognitive Neuroscience, Genetics, Language and Linguistics, Radiology, Nuclear Medicine and Imaging and Developmental and Educational Psychology, having authored 8 papers that have together received 192 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (3 papers), Glioma Diagnosis and Treatment (3 papers), Mathematical Biology Tumor Growth (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Language Development and Disorders (1 paper), Cancer Genomics and Diagnostics (1 paper), Phonetics and Phonology Research (1 paper) and Musculoskeletal pain and rehabilitation (1 paper). The work is most often cited by research in Modeling and Simulation (75 citations), Genetics (112 citations), Radiology, Nuclear Medicine and Imaging (79 citations), Cancer Research (39 citations) and Neurology (10 citations). Sunyoung Ahn has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Jason K. Rockhill, Kristin R. Swanson, Andrew D. Trister, Russell C. Rockne, Carly A. Bridge, Maxwell L. Neal, Anne Baldock, Maciej M. Mrugała, Timothy F. Cloughesy and Albert Lai. Their work appears in journals such as Applied Linguistics, Neurocase, Languages, International Journal of Human-Computer Interaction and Second language 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.