Changhoon Song

178 total papers · 2.5k total citations
102 papers, 1.9k citations indexed

About

Changhoon Song is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Changhoon Song has authored 102 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Pulmonary and Respiratory Medicine, 29 papers in Oncology and 24 papers in Surgery. Recurrent topics in Changhoon Song's work include Advanced Radiotherapy Techniques (16 papers), Colorectal Cancer Surgical Treatments (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Changhoon Song is often cited by papers focused on Advanced Radiotherapy Techniques (16 papers), Colorectal Cancer Surgical Treatments (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Changhoon Song collaborates with scholars based in South Korea, United States and Australia. Changhoon Song's co-authors include Jeong Sook Ha, Han-Chan Lee, Kim Js, Geumbee Lee, Kayeon Keum, Yu Ra Jeong, Jung Wook Kim, Heun Park, Sang Woo Jin and Junyeong Yun and has published in prestigious journals such as Journal of Clinical Oncology, ACS Nano and PLoS ONE.

In The Last Decade

Changhoon Song

95 papers receiving 1.9k citations

Author Peers

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

Author						Papers	Cites
Changhoon Song	594	588	398	366	361	102	1.9k
Baozhong Shen	733 1.2×	862 1.5×	113 0.3×	390 1.1×	376 1.0×	94	3.2k
Giao Nguyen	1.4k 2.4×	258 0.4×	378 0.9×	292 0.8×	37 0.1×	106	3.1k
Tae Hyung Kim	658 1.1×	94 0.2×	867 2.2×	213 0.6×	179 0.5×	148	2.8k
Li Tian	443 0.7×	65 0.1×	195 0.5×	315 0.9×	505 1.4×	143	2.2k
Juan Xie	319 0.5×	470 0.8×	625 1.6×	63 0.2×	194 0.5×	116	2.9k
Mikhail V. Zyuzin	989 1.7×	198 0.3×	253 0.6×	142 0.4×	82 0.2×	85	2.3k
Karen Alt	852 1.4×	98 0.2×	155 0.4×	265 0.7×	235 0.7×	55	2.7k
Takuya Fujimoto	175 0.3×	110 0.2×	380 1.0×	145 0.4×	83 0.2×	109	1.8k
N. Maffei	270 0.5×	249 0.4×	360 0.9×	336 0.9×	62 0.2×	64	1.6k
Fanxin Zeng	544 0.9×	257 0.4×	163 0.4×	124 0.3×	160 0.4×	106	2.0k

Countries citing papers authored by Changhoon Song

Since Specialization

Citations

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

Fields of papers citing papers by Changhoon Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changhoon Song

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