Sunhye Shin

58 total papers · 672 total citations
36 papers, 481 citations indexed

About

Sunhye Shin is a scholar working on Physiology, Epidemiology and Nutrition and Dietetics. According to data from OpenAlex, Sunhye Shin has authored 36 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 14 papers in Epidemiology and 13 papers in Nutrition and Dietetics. Recurrent topics in Sunhye Shin's work include Adipose Tissue and Metabolism (17 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers) and Fatty Acid Research and Health (6 papers). Sunhye Shin is often cited by papers focused on Adipose Tissue and Metabolism (17 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers) and Fatty Acid Research and Health (6 papers). Sunhye Shin collaborates with scholars based in South Korea, United States and United Kingdom. Sunhye Shin's co-authors include Kolapo M. Ajuwon, Sung Nim Han, Yuwei Jiang, So‐Young Park, Kyung‐Hee Park, Won‐Jong Jang, Terry A. Klein, Min‐Kyeung Choi, Lifeng Liu and Pingwen Xu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, The FASEB Journal and Endocrinology.

In The Last Decade

Sunhye Shin

32 papers receiving 471 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sunhye Shin 200 132 109 87 80 36 481
Noriyuki Komatsú 55 0.3× 36 0.3× 64 0.6× 89 1.0× 30 0.4× 45 457
Marta Citelli 67 0.3× 68 0.5× 147 1.3× 88 1.0× 33 0.4× 39 514
A. Montes 75 0.4× 42 0.3× 41 0.4× 62 0.7× 44 0.6× 38 552
J.J. de Bruijne 85 0.4× 25 0.2× 58 0.5× 60 0.7× 85 1.1× 26 471
David Fuchs 64 0.3× 44 0.3× 40 0.4× 164 1.9× 18 0.2× 20 527
M. Galluser 117 0.6× 99 0.8× 113 1.0× 157 1.8× 4 0.1× 24 504
Cristina Paveto 42 0.2× 167 1.3× 17 0.2× 212 2.4× 38 0.5× 20 460
Iwona Puzio 101 0.5× 32 0.2× 103 0.9× 89 1.0× 5 0.1× 62 462
Mariáurea Matias Sarandy 60 0.3× 39 0.3× 48 0.4× 137 1.6× 15 0.2× 45 551
Teresa Bruna Pagano 89 0.4× 122 0.9× 63 0.6× 112 1.3× 18 0.2× 26 470

Countries citing papers authored by Sunhye Shin

Since Specialization
Citations

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

Fields of papers citing papers by Sunhye Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunhye Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Sunhye Shin. A scholar is included among the top collaborators of Sunhye Shin 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 Sunhye Shin. Sunhye Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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