Anna Shin

780 citations
18 papers · 516 · h-index 8

Impact in

Papers in

Anna Shin

17 papers receiving 508 citations

Peers

Anna Shin
Comparison fields: 5 of 96
  • Behavioral Neuroscience 48
  • Cellular and Molecular Neuroscience 231
  • Endocrine and Autonomic Systems 62
  • Sensory Systems 32
  • Cognitive Neuroscience 124
Replace April D. Johnston with:
April D. Johnston United States
RJ Sutherland India
Yiyao Zhang China
Vivian V. Valentin United States
Ann E. Fink United States
Tongrui Qian China
Yoav Printz Israel
Rosanna P. Sammons Germany
Anna Shin relative to April D. Johnston United States April D. Johnston's profile →
Citations per field
00.5×1.5×2.1×
April D. Johnston · 1×
Citations per year

Countries citing papers authored by Anna Shin

Since Specialization
Citations

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

Fields of papers citing papers by Anna Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Shin. 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 Anna Shin. The network helps show where Anna Shin may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2015133
2 201996
3 201774
4 201469
5 201860
6 202035
7 201616
8 202313
9 20215
10
Exploratory profile analysis regarding parenting styles : With a special focus on students’ school adjustment and academic achievement
20133
11 20233
12 20203
13 20202
14 20171
15
The Development and the Validation of Six Core Competencies Measurement Scale for High School Students in Korea
20171
16 20181
17
Keyword Network Analysis on ‘Free Semester Policy’ with Korean Newspaper Articles
20171
18 20230

About Anna Shin

Anna Shin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Information Systems, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 18 papers that have together received 516 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Educational Systems and Policies (3 papers), Neuroscience and Neural Engineering (3 papers), Circadian rhythm and melatonin (3 papers), Stress Responses and Cortisol (3 papers), Diverse Approaches in Healthcare and Education Studies (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Behavioral Neuroscience (48 citations), Cellular and Molecular Neuroscience (231 citations), Endocrine and Autonomic Systems (62 citations), Sensory Systems (32 citations) and Cognitive Neuroscience (124 citations). Anna Shin has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Daesoo Kim, Hye-Sook Kim, Dayu Lin, Greg S. B. Suh, S. Park, Yi‐Ya Fang, Koichi Hashikawa, Jong‐Woo Sohn, Sujin Chae and Cheol‐Hee Kim. Their work appears in journals such as Nature Neuroscience, Advanced Materials, Molecular Brain, Computers & Education and Behavioural Brain 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.

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