Si‐Young Song

104 total papers · 3.6k total citations
57 papers, 2.9k citations indexed

About

Si‐Young Song is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Si‐Young Song has authored 57 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 23 papers in Cellular and Molecular Neuroscience and 7 papers in Immunology. Recurrent topics in Si‐Young Song's work include Neuropeptides and Animal Physiology (11 papers), Neuroscience and Neuropharmacology Research (11 papers) and Ion channel regulation and function (6 papers). Si‐Young Song is often cited by papers focused on Neuropeptides and Animal Physiology (11 papers), Neuroscience and Neuropharmacology Research (11 papers) and Ion channel regulation and function (6 papers). Si‐Young Song collaborates with scholars based in Japan, South Korea and China. Si‐Young Song's co-authors include Makoto Iwata, Chieko Kato, Hiroyuki Kagechika, Asami Hirakiyama, Hajime Takeuchi, Aya Yokota, Shiro Konishi, David Adams, Klaus Rajewsky and Balimkiz Senman and has published in prestigious journals such as Science, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Si‐Young Song

53 papers receiving 2.9k citations

Hit Papers

Retinoic Acid Imprints Gu... 2004 2026 2011 2018 2004 2006 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Si‐Young Song 1.8k 925 281 265 228 57 2.9k
Alex Grinberg 1.6k 0.9× 1.2k 1.3× 285 1.0× 235 0.9× 340 1.5× 62 4.0k
Mark A. Travis 1.8k 1.0× 1.3k 1.4× 212 0.8× 273 1.0× 199 0.9× 55 4.1k
Wiebke Hansen 2.1k 1.2× 1.2k 1.3× 190 0.7× 380 1.4× 260 1.1× 98 3.8k
P L Kilian 1.5k 0.8× 816 0.9× 169 0.6× 389 1.5× 130 0.6× 34 2.9k
Tieno Germann 2.1k 1.2× 590 0.6× 213 0.8× 250 0.9× 206 0.9× 44 3.8k
Felix Mor 1.6k 0.9× 1.2k 1.3× 495 1.8× 226 0.9× 125 0.5× 75 4.0k
Daisuke Kamimura 1.7k 1.0× 1.0k 1.1× 138 0.5× 185 0.7× 180 0.8× 71 3.9k
Lawrence B. Lachman 2.7k 1.6× 1.4k 1.6× 330 1.2× 335 1.3× 171 0.8× 66 5.1k
Robert Kassel 2.0k 1.1× 1.4k 1.5× 167 0.6× 323 1.2× 132 0.6× 35 4.0k
Marı́a Rosa Bono 1.9k 1.1× 1.2k 1.3× 125 0.4× 266 1.0× 195 0.9× 98 3.9k

Countries citing papers authored by Si‐Young Song

Since Specialization
Citations

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

Fields of papers citing papers by Si‐Young Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si‐Young Song

This figure shows the co-authorship network connecting the top 25 collaborators of Si‐Young Song. A scholar is included among the top collaborators of Si‐Young 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 Si‐Young Song. Si‐Young Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026