Chul Woo Ahn

446 total papers · 16.3k total citations
303 papers, 8.4k citations indexed

About

Chul Woo Ahn is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Chul Woo Ahn has authored 303 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Endocrinology, Diabetes and Metabolism, 80 papers in Molecular Biology and 74 papers in Epidemiology. Recurrent topics in Chul Woo Ahn's work include Adipokines, Inflammation, and Metabolic Diseases (38 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (36 papers) and Metabolism, Diabetes, and Cancer (35 papers). Chul Woo Ahn is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (38 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (36 papers) and Metabolism, Diabetes, and Cancer (35 papers). Chul Woo Ahn collaborates with scholars based in South Korea, United States and Japan. Chul Woo Ahn's co-authors include Bong Soo, Hyun Chul Lee, Jong Suk Park, Kyung Rae Kim, Eun Seok Kang, Ji Sun Nam, Shinae Kang, Sung Kil Lim, Kap Bum Huh and Hae Jin Kim and has published in prestigious journals such as Blood, Gastroenterology and PLoS ONE.

In The Last Decade

Chul Woo Ahn

295 papers receiving 8.2k citations

Hit Papers

Elevated TyG Index Predic... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Chul Woo Ahn 3.0k 2.0k 1.9k 1.6k 1.5k 303 8.4k
Niki Katsiki 2.5k 0.9× 1.8k 0.9× 1.7k 0.9× 1.6k 1.0× 1.9k 1.3× 298 8.5k
Alice P.S. Kong 4.0k 1.3× 2.3k 1.2× 1.7k 0.9× 1.0k 0.6× 1.5k 1.0× 325 9.4k
Sung Hee Choi 3.2k 1.1× 2.0k 1.0× 2.1k 1.1× 1.5k 0.9× 2.0k 1.3× 300 10.5k
Cheol‐Young Park 3.4k 1.2× 2.8k 1.4× 1.6k 0.8× 1.4k 0.9× 1.4k 1.0× 288 9.3k
Weiqing Wang 3.3k 1.1× 2.6k 1.3× 2.9k 1.5× 1.6k 1.0× 1.8k 1.2× 453 10.9k
Kåre I. Birkeland 4.6k 1.6× 2.1k 1.1× 2.2k 1.1× 1.5k 0.9× 2.3k 1.5× 242 10.7k
Wayne Huey‐Herng Sheu 3.0k 1.0× 1.3k 0.7× 1.8k 0.9× 1.5k 0.9× 1.4k 0.9× 372 8.1k
Michiaki Fukui 2.6k 0.9× 2.0k 1.0× 1.5k 0.8× 1.2k 0.8× 1.5k 1.0× 444 8.7k
Sin Gon Kim 2.4k 0.8× 2.2k 1.1× 1.4k 0.7× 1.5k 0.9× 1.2k 0.8× 297 8.3k
Nan Hee Kim 2.8k 0.9× 2.7k 1.4× 2.0k 1.0× 1.7k 1.1× 1.1k 0.7× 339 10.6k

Countries citing papers authored by Chul Woo Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Chul Woo Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chul Woo 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 Chul Woo Ahn. The network helps show where Chul Woo Ahn may publish in the future.

Co-authorship network of co-authors of Chul Woo Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Chul Woo Ahn. A scholar is included among the top collaborators of Chul Woo 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 Chul Woo Ahn. Chul Woo 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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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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