Kyoil Suh

51 total papers · 683 total citations
32 papers, 495 citations indexed

About

Kyoil Suh is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Kyoil Suh has authored 32 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Kyoil Suh's work include Thyroid Cancer Diagnosis and Treatment (13 papers), Thyroid Disorders and Treatments (11 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). Kyoil Suh is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (13 papers), Thyroid Disorders and Treatments (11 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). Kyoil Suh collaborates with scholars based in South Korea, United States and Japan. Kyoil Suh's co-authors include Myung Hi Yoo, Hye Jeong Kim, Dong Won Byun, Hyeong Kyu Park, Chul‐Hee Kim, Yong‐Ki Min, Sun Wook Kim, Jae Hoon Chung, Ji‐Oh Mok and Chan‐Hee Jung and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Kyoil Suh

30 papers receiving 486 citations

Author Peers

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

Author						Papers	Cites
Kyoil Suh	304	113	102	72	49	32	495
Shaoda Lin	262 0.9×	96 0.8×	61 0.6×	81 1.1×	72 1.5×	27	487
Małgorzata Gietka‐Czernel	273 0.9×	92 0.8×	71 0.7×	107 1.5×	66 1.3×	36	520
Meral Mert	196 0.6×	80 0.7×	62 0.6×	142 2.0×	30 0.6×	61	491
Palak Choksi	121 0.4×	66 0.6×	88 0.9×	112 1.6×	46 0.9×	23	501
Ah Reum Khang	234 0.8×	84 0.7×	130 1.3×	98 1.4×	110 2.2×	35	476
Katsuhiko Tsunekawa	242 0.8×	106 0.9×	79 0.8×	42 0.6×	38 0.8×	45	484
Satinath Mukherjee	170 0.6×	70 0.6×	70 0.7×	74 1.0×	118 2.4×	27	474
Nicola Vitturi	159 0.5×	110 1.0×	108 1.1×	151 2.1×	102 2.1×	39	508
Minerva Granado-Casas	185 0.6×	61 0.5×	71 0.7×	53 0.7×	62 1.3×	35	441
Ping Li	135 0.4×	103 0.9×	56 0.5×	117 1.6×	50 1.0×	50	495

Countries citing papers authored by Kyoil Suh

Since Specialization

Citations

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

Fields of papers citing papers by Kyoil Suh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyoil Suh

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