Hayley Shin

19 total papers · 1.6k total citations
18 papers, 1.3k citations indexed

About

Hayley Shin is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Hayley Shin has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Molecular Biology. Recurrent topics in Hayley Shin's work include Cardiovascular Disease and Adiposity (7 papers), Diabetes Management and Education (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Hayley Shin is often cited by papers focused on Cardiovascular Disease and Adiposity (7 papers), Diabetes Management and Education (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Hayley Shin collaborates with scholars based in South Korea, United States and Ethiopia. Hayley Shin's co-authors include Kyong Soo Park, Soo Lim, Hak Chul Jang, Seon Mee Kang, Ji Won Yoon, Sung Hee Choi, Jung Han Song, Hong-Kyu Lee, Sung‐Il Cho and Soo Heon Kwak and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Hayley Shin

18 papers receiving 1.3k citations

Hit Papers

Increasing Prevalence of ... 2011 2026 2016 2021 2011 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Hayley Shin 447 312 276 275 219 18 1.3k
Sung Rae Kim 447 1.0× 446 1.4× 221 0.8× 418 1.5× 313 1.4× 38 1.5k
Claudia Filozof 394 0.9× 453 1.5× 174 0.6× 430 1.6× 298 1.4× 28 1.5k
Aaron R. Folsom 420 0.9× 309 1.0× 312 1.1× 380 1.4× 424 1.9× 18 1.7k
Te‐Ching Chen 230 0.5× 226 0.7× 256 0.9× 361 1.3× 208 0.9× 16 1.3k
David Wormser 306 0.7× 380 1.2× 456 1.7× 507 1.8× 217 1.0× 21 1.5k
Nick Lewis‐Barned 585 1.3× 287 0.9× 139 0.5× 337 1.2× 296 1.4× 33 1.7k
Luisa Gilardini 320 0.7× 318 1.0× 201 0.7× 327 1.2× 312 1.4× 39 1.2k
Michael E. Mussolino 238 0.5× 197 0.6× 482 1.7× 268 1.0× 254 1.2× 19 1.7k
George Alberti 619 1.4× 272 0.9× 167 0.6× 554 2.0× 328 1.5× 19 1.7k
Allan Green 229 0.5× 477 1.5× 299 1.1× 270 1.0× 272 1.2× 33 1.5k

Countries citing papers authored by Hayley Shin

Since Specialization
Citations

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

Fields of papers citing papers by Hayley Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hayley Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Hayley Shin. A scholar is included among the top collaborators of Hayley 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 Hayley Shin. Hayley 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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