Ji‐Joon Song

171 total papers · 10.6k total citations
90 papers, 8.0k citations indexed

About

Ji‐Joon Song is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Ji‐Joon Song has authored 90 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 9 papers in Plant Science. Recurrent topics in Ji‐Joon Song's work include RNA Research and Splicing (16 papers), Genomics and Chromatin Dynamics (15 papers) and RNA modifications and cancer (14 papers). Ji‐Joon Song is often cited by papers focused on RNA Research and Splicing (16 papers), Genomics and Chromatin Dynamics (15 papers) and RNA modifications and cancer (14 papers). Ji‐Joon Song collaborates with scholars based in South Korea, United States and Sweden. Ji‐Joon Song's co-authors include Gregory J. Hannon, Leemor Joshua‐Tor, Jidong Liu, Fabiola V. Rivas, Jeannie T. Lee, Jing Zhao, Bryan K. Sun, Jennifer A. Erwin, Carolyn G. Marsden and J. Michael Thomson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ji‐Joon Song

85 papers receiving 7.9k citations

Hit Papers

Argonaute2 Is the Catalyt... 2004 2026 2011 2018 2004 2008 2004 2005 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Ji‐Joon Song 6.9k 2.6k 1.2k 706 368 90 8.0k
Leemor Joshua‐Tor 8.7k 1.3× 2.6k 1.0× 1.9k 1.6× 863 1.2× 607 1.6× 88 10.4k
Yukihide Tomari 9.8k 1.4× 3.9k 1.5× 2.4k 2.0× 821 1.2× 681 1.9× 98 11.2k
Édouard Bertrand 11.1k 1.6× 1.6k 0.6× 711 0.6× 887 1.3× 539 1.5× 175 12.8k
György Hutvàgner 10.4k 1.5× 6.4k 2.4× 1.7k 1.4× 745 1.1× 637 1.7× 69 12.3k
Brenton R. Graveley 11.6k 1.7× 2.1k 0.8× 951 0.8× 1.3k 1.9× 619 1.7× 110 12.9k
Raymond J. Monnat 6.2k 0.9× 1.1k 0.4× 703 0.6× 1.0k 1.4× 206 0.6× 123 7.2k
Luis Sánchez‐Pulido 4.9k 0.7× 1.9k 0.7× 535 0.5× 915 1.3× 575 1.6× 112 7.9k
Torben Heick Jensen 8.8k 1.3× 1.3k 0.5× 758 0.6× 379 0.5× 415 1.1× 150 9.8k
René F. Ketting 9.2k 1.3× 3.6k 1.4× 2.8k 2.4× 1.1k 1.6× 448 1.2× 86 10.9k
Tatyana V. Pestova 13.7k 2.0× 1.1k 0.4× 1.4k 1.2× 923 1.3× 610 1.7× 112 15.8k

Countries citing papers authored by Ji‐Joon Song

Since Specialization
Citations

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

Fields of papers citing papers by Ji‐Joon Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji‐Joon Song

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