Jun S. Song

12.7k total citations · 2 hit papers
118 papers, 7.7k citations indexed

About

Jun S. Song is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Jun S. Song has authored 118 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 15 papers in Cancer Research and 12 papers in Genetics. Recurrent topics in Jun S. Song's work include Genomics and Chromatin Dynamics (26 papers), Epigenetics and DNA Methylation (15 papers) and RNA and protein synthesis mechanisms (14 papers). Jun S. Song is often cited by papers focused on Genomics and Chromatin Dynamics (26 papers), Epigenetics and DNA Methylation (15 papers) and RNA and protein synthesis mechanisms (14 papers). Jun S. Song collaborates with scholars based in United States, China and South Korea. Jun S. Song's co-authors include David E. Fisher, X. Shirley Liu, J Costello, Miguel Ramalho‐Santos, Fatih Ozsolak, Aarón Díaz, H. Tomas Rube, Abhinav Nellore, Robert J.A. Bell and Satoru Yokoyama and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jun S. Song

115 papers receiving 7.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genome-wide analysis of estrogen receptor binding sites

2006 1.1k citations Jason S. Carroll, Jun S. Song et al. profile →
Oncogenic BRAF Regulates Oxidative Metabolism via PGC1α and MITF

2013 610 citations Satoru Yokoyama, Jun S. Song et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jun S. Song United States	38	5.9k	2.0k	1.1k	937	522	118	7.7k
Thierry Voet Belgium	42	5.5k 0.9×	1.5k 0.7×	1.5k 1.4×	737 0.8×	755 1.4×	96	8.6k
Sampsa Hautaniemi Finland	49	4.9k 0.8×	1.6k 0.8×	1.1k 0.9×	1.5k 1.6×	529 1.0×	186	7.6k
Mitchell Stark Australia	27	5.1k 0.9×	1.3k 0.7×	754 0.7×	1.2k 1.3×	716 1.4×	65	7.5k
Jüri Reimand Canada	26	4.3k 0.7×	1.4k 0.7×	818 0.7×	648 0.7×	634 1.2×	57	6.3k
Stefan Wiemann Germany	51	5.8k 1.0×	2.1k 1.0×	753 0.7×	1.2k 1.3×	778 1.5×	186	8.8k
Prahlad T. Ram United States	39	6.0k 1.0×	1.9k 1.0×	688 0.6×	2.0k 2.1×	626 1.2×	67	8.5k
Ramana V. Davuluri United States	52	7.0k 1.2×	3.2k 1.6×	945 0.8×	1.2k 1.3×	840 1.6×	120	9.6k
Keith A. Ching United States	24	6.6k 1.1×	989 0.5×	1.4k 1.2×	894 1.0×	1000 1.9×	45	8.8k
J Costello United States	48	7.8k 1.3×	2.8k 1.4×	1.4k 1.3×	1.5k 1.6×	663 1.3×	142	10.6k
Roseline Godbout Canada	44	4.9k 0.8×	1.5k 0.7×	1.1k 1.0×	1.7k 1.8×	526 1.0×	132	6.9k

Countries citing papers authored by Jun S. Song

Since Specialization

Citations

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

Fields of papers citing papers by Jun S. Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun S. Song

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Yan, et al.. (2025). Performance study of Tesla valve-based direct cooling thermal management system for batteries. Applied Thermal Engineering. 278. 127207–127207. 1 indexed citations

Stevers, Nicholas, Carter J. Barger, Chibo Hong, et al.. (2025). The immortality mechanism of TERT promoter mutant cancers is self-reinforcing and reversible. Molecular Cell. 85(12). 2337–2354.e9. 1 indexed citations

Wu, Xing, et al.. (2025). Scnet: spectral convolutional networks for multivariate time series classification. Applied Intelligence. 55(7). 1 indexed citations

Ma, Jie‐Tao, Jun S. Song, Xiaofang Yi, et al.. (2024). Enhanced T cell immune activity mediated by Drp1 promotes the efficacy of PD-1 inhibitors in treating lung cancer. Cancer Immunology Immunotherapy. 73(2). 40–40. 4 indexed citations

Zhang, Shuyi, et al.. (2022). Spectral clustering of single-cell multi-omics data on multilayer graphs. Bioinformatics. 38(14). 3600–3608. 6 indexed citations

Finnegan, Alex, Hu Jin, Michael Gapinske, et al.. (2020). Epigenetic engineering of yeast reveals dynamic molecular adaptation to methylation stress and genetic modulators of specific DNMT3 family members. Nucleic Acids Research. 48(8). 4081–4099. 16 indexed citations

Zhang, Yi, et al.. (2018). SequencEnG: an interactive knowledge base of sequencing techniques. Bioinformatics. 35(8). 1438–1440. 2 indexed citations

Zhang, Yi, et al.. (2018). Integrative Genomic Analysis Predicts Causative Cis -Regulatory Mechanisms of the Breast Cancer–Associated Genetic Variant rs4415084. Cancer Research. 78(7). 1579–1591. 28 indexed citations

Kim, Minji, et al.. (2017). TeachEnG: a Teach ing En gine for G enomics. Bioinformatics. 33(20). 3296–3298. 2 indexed citations

10.

Salma, Nunciada, Jun S. Song, Akinori Kawakami, et al.. (2017). Tfe3 and Tfeb Transcriptionally Regulate Peroxisome Proliferator-Activated Receptor γ2 Expression in Adipocytes and Mediate Adiponectin and Glucose Levels in Mice. Molecular and Cellular Biology. 37(15). 15 indexed citations

11.

Chen, Justin, Christopher S. Hackett, Shile Zhang, et al.. (2015). The Genetics of Splicing in Neuroblastoma. Cancer Discovery. 5(4). 380–395. 13 indexed citations

12.

Bell, Robert J.A., H. Tomas Rube, Alex Kreig, et al.. (2015). The transcription factor GABP selectively binds and activates the mutant TERT promoter in cancer. Science. 348(6238). 1036–1039. 398 indexed citations

13.

Song, Jun S., et al.. (2012). YY1 regulates melanocyte development and function by cooperating with MITF. eScholarship (California Digital Library). 37 indexed citations

14.

Song, Jun S., et al.. (2012). Categorical spectral analysis of periodicity in human and viral genomes. Nucleic Acids Research. 41(3). 1395–1405. 7 indexed citations

15.

Díaz, Aarón, et al.. (2012). Normalization, bias correction, and peak calling for ChIP-seq. Statistical Applications in Genetics and Molecular Biology. 11(3). Article 9–Article 9. 78 indexed citations

16.

Levy, Carmit, Mehdi Khaled, Dimitrios Iliopoulos, et al.. (2010). Intronic miR-211 Assumes the Tumor Suppressive Function of Its Host Gene in Melanoma. Molecular Cell. 40(5). 841–849. 218 indexed citations

17.

Holmes, Kelly A., et al.. (2008). Nkx3-1 and LEF-1 Function as Transcriptional Inhibitors of Estrogen Receptor Activity. Cancer Research. 68(18). 7380–7385. 36 indexed citations

18.

Chan, Chang S. & Jun S. Song. (2008). CCCTC-Binding Factor Confines the Distal Action of Estrogen Receptor. Cancer Research. 68(21). 9041–9049. 29 indexed citations

19.

Dwyer, Trisha, et al.. (2008). Genomic mid-range inhomogeneity correlates with an abundance of RNA secondary structures. BMC Genomics. 9(1). 284–284. 14 indexed citations

20.

Song, Jun S.. (1999). Descendant Gromov-Witten invariants, simple Hurwitz numbers, and the Virasoro conzjecture for P{double-struck}. Advances in Theoretical and Mathematical Physics. 3(6). 1–31. 3 indexed citations

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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