Suk‐Kyun Yang

588 total papers · 14.3k total citations
384 papers, 9.5k citations indexed

About

Suk‐Kyun Yang is a scholar working on Genetics, Surgery and Epidemiology. According to data from OpenAlex, Suk‐Kyun Yang has authored 384 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 183 papers in Genetics, 176 papers in Surgery and 148 papers in Epidemiology. Recurrent topics in Suk‐Kyun Yang's work include Inflammatory Bowel Disease (178 papers), Microscopic Colitis (92 papers) and Gastric Cancer Management and Outcomes (59 papers). Suk‐Kyun Yang is often cited by papers focused on Inflammatory Bowel Disease (178 papers), Microscopic Colitis (92 papers) and Gastric Cancer Management and Outcomes (59 papers). Suk‐Kyun Yang collaborates with scholars based in South Korea, United States and Singapore. Suk‐Kyun Yang's co-authors include Byong Duk Ye, Seung‐Jae Myung, Sang Hyoung Park, Jeong‐Sik Byeon, Dong‐Hoon Yang, Edward V. Loftus, William J. Sandborn, Kyung‐Jo Kim, Hyun Kwon Ha and Seong Ho Park and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Suk‐Kyun Yang

368 papers receiving 9.2k citations

Hit Papers

A common missense variant... 2014 2026 2018 2022 2014 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Suk‐Kyun Yang 4.5k 3.7k 3.7k 1.8k 1.6k 384 9.5k
Gert De Hertogh 3.6k 0.8× 2.6k 0.7× 2.7k 0.8× 2.5k 1.4× 1.3k 0.8× 309 9.0k
Byong Duk Ye 3.2k 0.7× 2.9k 0.8× 2.9k 0.8× 1.0k 0.6× 1.2k 0.8× 420 7.3k
Jae Hee Cheon 2.5k 0.6× 2.9k 0.8× 2.5k 0.7× 2.0k 1.1× 1.9k 1.2× 419 9.6k
Florian Rieder 5.4k 1.2× 3.8k 1.0× 3.7k 1.0× 1.3k 0.7× 1.1k 0.7× 266 10.4k
Bret A. Lashner 6.8k 1.5× 3.8k 1.0× 5.2k 1.4× 1.3k 0.7× 671 0.4× 190 10.1k
David B. Sachar 7.9k 1.8× 4.3k 1.1× 6.4k 1.8× 1.4k 0.8× 881 0.5× 171 11.4k
Karel Geboes 4.9k 1.1× 3.0k 0.8× 4.4k 1.2× 1.2k 0.7× 542 0.3× 202 9.3k
Sandro Ardizzone 6.9k 1.5× 3.6k 1.0× 5.2k 1.4× 1.1k 0.6× 584 0.4× 234 10.6k
Brian Bressler 4.4k 1.0× 2.2k 0.6× 3.8k 1.0× 1.2k 0.7× 870 0.5× 236 7.8k
Freddy Penninckx 3.5k 0.8× 5.5k 1.5× 3.0k 0.8× 3.1k 1.7× 1.7k 1.1× 251 10.9k

Countries citing papers authored by Suk‐Kyun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Suk‐Kyun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suk‐Kyun Yang. 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 Suk‐Kyun Yang. The network helps show where Suk‐Kyun Yang may publish in the future.

Co-authorship network of co-authors of Suk‐Kyun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Suk‐Kyun Yang. A scholar is included among the top collaborators of Suk‐Kyun Yang 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 Suk‐Kyun Yang. Suk‐Kyun Yang 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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