Sung-Soo Koong

44 total papers · 566 total citations
19 papers, 433 citations indexed

About

Sung-Soo Koong is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sung-Soo Koong has authored 19 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 9 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sung-Soo Koong's work include Thyroid Cancer Diagnosis and Treatment (8 papers), Thyroid and Parathyroid Surgery (5 papers) and Head and Neck Anomalies (5 papers). Sung-Soo Koong is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (8 papers), Thyroid and Parathyroid Surgery (5 papers) and Head and Neck Anomalies (5 papers). Sung-Soo Koong collaborates with scholars based in South Korea, United States and Singapore. Sung-Soo Koong's co-authors include James C. Reynolds, Mark Lakshmanan, Andrew M. Keenan, Kenneth B. Ain, Jacob Robbins, Alex C. Cummins, Chang H. Paik, Edward H. Oldfield, Daniel Lieberman and Paul F. Morrison and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of neurosurgery and Human Reproduction.

In The Last Decade

Sung-Soo Koong

17 papers receiving 417 citations

Author Peers

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

Author Last Decade Papers Cites
Sung-Soo Koong 226 120 91 62 57 19 433
Kiyoshi Kakuda 128 0.6× 177 1.5× 81 0.9× 34 0.5× 43 0.8× 13 411
A. Kelly 183 0.8× 115 1.0× 64 0.7× 22 0.4× 27 0.5× 27 382
Steven Schoenfeld 138 0.6× 122 1.0× 39 0.4× 127 2.0× 103 1.8× 13 472
H. E. Kaiser 87 0.4× 83 0.7× 50 0.5× 157 2.5× 45 0.8× 20 426
T Yäshiro 185 0.8× 109 0.9× 38 0.4× 145 2.3× 70 1.2× 21 477
Andrea Marcadis 127 0.6× 135 1.1× 22 0.2× 48 0.8× 45 0.8× 23 424
U Simi 225 1.0× 209 1.7× 50 0.5× 18 0.3× 30 0.5× 18 383
T Uozumi 76 0.3× 111 0.9× 35 0.4× 109 1.8× 36 0.6× 20 491
Christian Mirian 99 0.4× 134 1.1× 33 0.4× 42 0.7× 25 0.4× 28 445
B. M. Goslings 320 1.4× 138 1.1× 43 0.5× 46 0.7× 79 1.4× 22 411

Countries citing papers authored by Sung-Soo Koong

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Soo Koong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Soo Koong. 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 Sung-Soo Koong. The network helps show where Sung-Soo Koong may publish in the future.

Co-authorship network of co-authors of Sung-Soo Koong

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Soo Koong. A scholar is included among the top collaborators of Sung-Soo Koong 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 Sung-Soo Koong. Sung-Soo Koong 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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