Ki‐Duk Song

188 total papers · 3.6k total citations
135 papers, 2.5k citations indexed

About

Ki‐Duk Song is a scholar working on Molecular Biology, Animal Science and Zoology and Genetics. According to data from OpenAlex, Ki‐Duk Song has authored 135 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 36 papers in Animal Science and Zoology and 32 papers in Genetics. Recurrent topics in Ki‐Duk Song's work include Animal Nutrition and Physiology (18 papers), Genetic and phenotypic traits in livestock (18 papers) and Immune Cell Function and Interaction (13 papers). Ki‐Duk Song is often cited by papers focused on Animal Nutrition and Physiology (18 papers), Genetic and phenotypic traits in livestock (18 papers) and Immune Cell Function and Interaction (13 papers). Ki‐Duk Song collaborates with scholars based in South Korea, United States and Vietnam. Ki‐Duk Song's co-authors include Hyun S. Lillehoj, Jae Yong Han, Hak‐Kyo Lee, Kang Duk Choi, Cheol‐Heui Yun, Xin Yuan, Vincent Mooser, Dawn Waterworth, Clyde Francks and Pierandrea Muglia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Ki‐Duk Song

128 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
Ki‐Duk Song 1.0k 576 569 380 323 135 2.5k
Fabrizio Ceciliani 1.4k 1.4× 444 0.8× 707 1.2× 474 1.2× 684 2.1× 164 4.1k
Harry Dawson 885 0.9× 518 0.9× 337 0.6× 297 0.8× 221 0.7× 84 2.9k
Dong Xia 900 0.9× 290 0.5× 377 0.7× 271 0.7× 188 0.6× 126 2.5k
Theodore H. Elsasser 637 0.6× 302 0.5× 761 1.3× 412 1.1× 405 1.3× 96 2.7k
Xia Xiong 1.1k 1.0× 231 0.4× 810 1.4× 180 0.5× 266 0.8× 99 2.4k
John J. Callanan 815 0.8× 730 1.3× 269 0.5× 620 1.6× 382 1.2× 112 4.0k
Xiaoqiu Wang 897 0.9× 1.2k 2.1× 272 0.5× 349 0.9× 123 0.4× 118 3.3k
W.J.A. Boersma 1.2k 1.2× 839 1.5× 827 1.5× 563 1.5× 478 1.5× 105 4.2k
Masashi Okamura 870 0.8× 285 0.5× 332 0.6× 209 0.6× 111 0.3× 104 2.8k
P. Lacasse 660 0.6× 296 0.5× 755 1.3× 1.1k 2.8× 423 1.3× 125 3.8k

Countries citing papers authored by Ki‐Duk Song

Since Specialization
Citations

This map shows the geographic impact of Ki‐Duk 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‐Duk 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‐Duk Song more than expected).

Fields of papers citing papers by Ki‐Duk Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ki‐Duk Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ki‐Duk Song. A scholar is included among the top collaborators of Ki‐Duk 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‐Duk Song. Ki‐Duk 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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2026