Tae Sook Hwang

95 total papers · 2.5k total citations
77 papers, 2.0k citations indexed

About

Tae Sook Hwang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, Tae Sook Hwang has authored 77 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 26 papers in Endocrinology, Diabetes and Metabolism and 23 papers in Oncology. Recurrent topics in Tae Sook Hwang's work include Thyroid Cancer Diagnosis and Treatment (24 papers), Cancer-related Molecular Pathways (10 papers) and Genetic factors in colorectal cancer (8 papers). Tae Sook Hwang is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (24 papers), Cancer-related Molecular Pathways (10 papers) and Genetic factors in colorectal cancer (8 papers). Tae Sook Hwang collaborates with scholars based in South Korea, United States and Ethiopia. Tae Sook Hwang's co-authors include Hye Seung Han, Suk Kyeong Kim, Wan Seop Kim, Dong‐Lim Kim, Kee‐Ho Song, So Dug Lim, Wook Youn Kim, Young‐Mee Park, Seo Young Oh and Young Bum Yoo and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Analytical Biochemistry.

In The Last Decade

Tae Sook Hwang

76 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Tae Sook Hwang 711 697 526 384 262 77 2.0k
Hye Seung Han 504 0.7× 596 0.9× 765 1.5× 682 1.8× 733 2.8× 107 2.3k
Zoe A. Stewart 467 0.7× 775 1.1× 1.1k 2.1× 506 1.3× 250 1.0× 65 3.1k
Salvador J. Díaz‐Cano 468 0.7× 716 1.0× 502 1.0× 749 2.0× 410 1.6× 106 2.7k
Xiaodong Teng 264 0.4× 712 1.0× 375 0.7× 394 1.0× 470 1.8× 116 1.7k
Thomas J. Brown 348 0.5× 650 0.9× 410 0.8× 242 0.6× 125 0.5× 66 2.6k
P. Lamesch 434 0.6× 776 1.1× 1.2k 2.3× 400 1.0× 255 1.0× 58 2.9k
Jianyong Lei 527 0.7× 354 0.5× 607 1.2× 237 0.6× 121 0.5× 88 1.6k
John H. Yim 508 0.7× 680 1.0× 539 1.0× 1.0k 2.7× 270 1.0× 79 2.6k
Jing Jiang 792 1.1× 846 1.2× 246 0.5× 589 1.5× 453 1.7× 62 2.1k
Alberto Cascón 857 1.2× 916 1.3× 909 1.7× 520 1.4× 232 0.9× 71 2.7k

Countries citing papers authored by Tae Sook Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Tae Sook Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Sook Hwang. 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 Tae Sook Hwang. The network helps show where Tae Sook Hwang may publish in the future.

Co-authorship network of co-authors of Tae Sook Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Sook Hwang. A scholar is included among the top collaborators of Tae Sook Hwang 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 Tae Sook Hwang. Tae Sook Hwang 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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