In Chan Song

103 papers and 8.3k indexed citations i.

About

In Chan Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Materials Chemistry. According to data from OpenAlex, In Chan Song has authored 103 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Psychiatry and Mental health and 14 papers in Materials Chemistry. Recurrent topics in In Chan Song’s work include Advanced Neuroimaging Techniques and Applications (30 papers), Advanced MRI Techniques and Applications (29 papers) and MRI in cancer diagnosis (15 papers). In Chan Song is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (30 papers), Advanced MRI Techniques and Applications (29 papers) and MRI in cancer diagnosis (15 papers). In Chan Song collaborates with scholars based in South Korea, United States and Australia. In Chan Song's co-authors include Taeghwan Hyeon, Hyon Bin Na, Woo Kyung Moon, Nohyun Lee, Hyoungsu Kim, Jaeyun Kim, Taeho Kim, Taekyung Yu, Hoe Suk Kim and Dong Soo Lee and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Advanced Materials.

In The Last Decade

Co-authorship network of co-authors of In Chan Song i

Fields of papers citing papers by In Chan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In Chan Song. 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 In Chan Song. The network helps show where In Chan Song may publish in the future.

Countries citing papers authored by In Chan Song

Since Specialization
Citations

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

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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