Ki Hak Song

75 total papers · 446 total citations
42 papers, 299 citations indexed

About

Ki Hak Song is a scholar working on Molecular Biology, Urology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ki Hak Song has authored 42 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Urology and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ki Hak Song's work include Urinary Bladder and Prostate Research (15 papers), Pelvic floor disorders treatments (10 papers) and Bladder and Urothelial Cancer Treatments (7 papers). Ki Hak Song is often cited by papers focused on Urinary Bladder and Prostate Research (15 papers), Pelvic floor disorders treatments (10 papers) and Bladder and Urothelial Cancer Treatments (7 papers). Ki Hak Song collaborates with scholars based in South Korea, United States and Egypt. Ki Hak Song's co-authors include Ju Hyun Shin, Jae Sung Lim, Yong Gil Na, Hee Kyoung Joo, Sunga Choi, Yu Ran Lee, Byeong Hwa Jeon, Jae Geun Lee, Xiaowen Jiang and Chang‐Kwon Lee and has published in prestigious journals such as The Journal of Urology, Urology and BMC Cancer.

In The Last Decade

Ki Hak Song

42 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Ki Hak Song	126	110	88	52	40	42	299
Guangheng Luo	95 0.8×	96 0.9×	69 0.8×	93 1.8×	44 1.1×	47	346
Yuantao Wang	102 0.8×	114 1.0×	102 1.2×	56 1.1×	57 1.4×	39	354
Po‐Fan Hsieh	85 0.7×	155 1.4×	56 0.6×	45 0.9×	65 1.6×	39	306
Toshiyuki China	71 0.6×	133 1.2×	57 0.6×	59 1.1×	41 1.0×	35	318
Cheng‐Kuang Yang	81 0.6×	162 1.5×	112 1.3×	62 1.2×	46 1.1×	42	340
Omri Nativ	79 0.6×	108 1.0×	74 0.8×	27 0.5×	33 0.8×	29	353
Manabu Ichino	59 0.5×	102 0.9×	102 1.2×	44 0.8×	23 0.6×	35	331
Faruk Özcan	96 0.8×	132 1.2×	148 1.7×	41 0.8×	29 0.7×	39	307
Barbaros Başeskioğlu	102 0.8×	225 2.0×	104 1.2×	28 0.5×	37 0.9×	37	343
Liefu Ye	122 1.0×	138 1.3×	52 0.6×	23 0.4×	38 0.9×	34	290

Countries citing papers authored by Ki Hak Song

Since Specialization

Citations

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

Fields of papers citing papers by Ki Hak Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ki Hak Song

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