Sunyoung Ahn

414 total citations
8 papers, 192 citations indexed

About

Sunyoung Ahn is a scholar working on Cognitive Neuroscience, Genetics and Language and Linguistics. According to data from OpenAlex, Sunyoung Ahn has authored 8 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Genetics and 2 papers in Language and Linguistics. Recurrent topics in Sunyoung Ahn's work include Glioma Diagnosis and Treatment (3 papers), Neurobiology of Language and Bilingualism (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Sunyoung Ahn is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Neurobiology of Language and Bilingualism (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Sunyoung Ahn collaborates with scholars based in United States, Canada and South Korea. Sunyoung Ahn's co-authors include Andrew D. Trister, Carly A. Bridge, Russell C. Rockne, Maxwell L. Neal, Anne Baldock, Jason K. Rockhill, Kristin R. Swanson, Maciej M. Mrugała, Albert Lai and Timothy F. Cloughesy and has published in prestigious journals such as PLoS ONE, Cancer Research and Neuro-Oncology.

In The Last Decade

Sunyoung Ahn

8 papers receiving 192 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sunyoung Ahn United States	5	112	79	75	39	27	8	192
Anne Line Stensjøen Norway	9	186 1.7×	134 1.7×	36 0.5×	41 1.1×	51 1.9×	13	298
Antonios Vakis Greece	9	36 0.3×	16 0.2×	18 0.2×	33 0.8×	81 3.0×	17	216
Natalie R. Boonzaier United Kingdom	10	315 2.8×	292 3.7×	8 0.1×	29 0.7×	32 1.2×	22	397
Elizabeth Mamourian United States	8	69 0.6×	96 1.2×	5 0.1×	8 0.2×	33 1.2×	20	198
Alicia Steffens United States	4	81 0.7×	25 0.3×	3 0.0×	34 0.9×	34 1.3×	10	136
Rouzbeh Banan Germany	8	172 1.5×	40 0.5×	3 0.0×	42 1.1×	57 2.1×	12	245
Gisele Brasil Caseiras United Kingdom	5	247 2.2×	231 2.9×	13 0.2×	6 0.2×	13 0.5×	5	303
Salvador Castaneda Vega Germany	12	134 1.2×	205 2.6×	2 0.0×	17 0.4×	53 2.0×	26	349
Jai Grewal United States	5	92 0.8×	18 0.2×	6 0.1×	18 0.5×	19 0.7×	15	172
E. Essock-Burns United States	6	221 2.0×	280 3.5×	3 0.0×	26 0.7×	20 0.7×	6	366

Countries citing papers authored by Sunyoung Ahn

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sunyoung Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Sunyoung Ahn. A scholar is included among the top collaborators of Sunyoung Ahn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sunyoung Ahn. Sunyoung Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Chang, Charles B. & Sunyoung Ahn. (2023). Examining the Role of Phoneme Frequency in First Language Perceptual Attrition. Languages. 8(1). 53–53. 1 indexed citations

2.

Ahn, Sunyoung & Nan Jiang. (2022). Can adult learners sense L2 emotional words automatically? The role of L2 use on the emotional Stroop effect. Second language Research. 39(4). 1265–1278. 5 indexed citations

3.

Ahn, Sunyoung & Charles B. Chang. (2021). Emotion Word Development in Bilingual Children Living in Majority and Minority Contexts. Applied Linguistics. 43(5). 845–866. 2 indexed citations

4.

Ahn, Sunyoung, Sangyeon Kim, & Sangwon Lee. (2020). Effects of Visual Cues on Distance Perception in Virtual Environments Based on Object Identification and Visually Guided Action. International Journal of Human-Computer Interaction. 37(1). 36–46. 9 indexed citations

5.

Baldock, Anne, Kevin Yagle, Donald E. Born, et al.. (2014). Invasion and proliferation kinetics in enhancing gliomas predict IDH1 mutation status. Neuro-Oncology. 16(6). 779–786. 62 indexed citations

6.

Neal, Maxwell L., Andrew D. Trister, Sunyoung Ahn, et al.. (2013). Response Classification Based on a Minimal Model of Glioblastoma Growth Is Prognostic for Clinical Outcomes and Distinguishes Progression from Pseudoprogression. Cancer Research. 73(10). 2976–2986. 49 indexed citations

7.

Neal, Maxwell L., Andrew D. Trister, Sunyoung Ahn, et al.. (2013). Discriminating Survival Outcomes in Patients with Glioblastoma Using a Simulation-Based, Patient-Specific Response Metric. PLoS ONE. 8(1). e51951–e51951. 60 indexed citations

8.

Kwon, Jay C., Sunyoung Ahn, Sung‐Hee Kim, & Kenneth M. Heilman. (2011). Ipsilesional ‘where’ with contralesional ‘what’ neglect. Neurocase. 18(5). 415–423. 4 indexed citations

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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