Dan Song

1.2k total citations
14 papers, 702 citations indexed

About

Dan Song is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Ecology. According to data from OpenAlex, Dan Song has authored 14 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Ecology. Recurrent topics in Dan Song's work include Bacteriophages and microbial interactions (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Cardiomyopathy and Myosin Studies (3 papers). Dan Song is often cited by papers focused on Bacteriophages and microbial interactions (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Cardiomyopathy and Myosin Studies (3 papers). Dan Song collaborates with scholars based in United States and China. Dan Song's co-authors include Joseph J. Loparo, Thomas G.W. Graham, Rob Phillips, Robert C. Brewster, Franz M. Weinert, Hernán G. García, Mattias Rydenfelt, James A. Spudich, Kathleen M. Ruppel and Candice M. Etson and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Dan Song

13 papers receiving 700 citations

Peers

Dan Song
Haruichi Asahara United States
David M. Pettigrew United Kingdom
Timothy R. Abbott United States
Jane Wilkinson United Kingdom
Aaron W. Lifland United States
Arzu Sandikci United States
Haruichi Asahara United States
Dan Song
Citations per year, relative to Dan Song Dan Song (= 1×) peers Haruichi Asahara

Countries citing papers authored by Dan Song

Since Specialization
Citations

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

Fields of papers citing papers by Dan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Song

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

All Works

14 of 14 papers shown
2.
Sambel, Larissa A., et al.. (2024). Single-molecule imaging reveals the mechanism of bidirectional replication initiation in metazoa. Cell. 187(15). 3992–4009.e25. 6 indexed citations
3.
Liu, Chao, Makenna M. Morck, Kristina B. Kooiker, et al.. (2021). Hypertrophic cardiomyopathy β-cardiac myosin mutation (P710R) leads to hypercontractility by disrupting super relaxed state. Proceedings of the National Academy of Sciences. 118(24). 52 indexed citations
4.
Adhikari, Arjun S., Darshan V. Trivedi, Saswata S. Sarkar, et al.. (2019). β-Cardiac myosin hypertrophic cardiomyopathy mutations release sequestered heads and increase enzymatic activity. Nature Communications. 10(1). 2685–2685. 57 indexed citations
5.
Liu, Chao, Masataka Kawana, Dan Song, Kathleen M. Ruppel, & James A. Spudich. (2018). Controlling load-dependent kinetics of β-cardiac myosin at the single-molecule level. Nature Structural & Molecular Biology. 25(6). 505–514. 53 indexed citations
6.
Song, Dan, Kristen A. Rodrigues, Thomas G.W. Graham, & Joseph J. Loparo. (2017). A network of cis and trans interactions is required for ParB spreading. Nucleic Acids Research. 45(12). 7106–7117. 30 indexed citations
7.
Song, Dan, Thomas G.W. Graham, & Joseph J. Loparo. (2016). A general approach to visualize protein binding and DNA conformation without protein labelling. Nature Communications. 7(1). 10976–10976. 26 indexed citations
8.
Song, Dan & Joseph J. Loparo. (2015). Building bridges within the bacterial chromosome. Trends in Genetics. 31(3). 164–173. 45 indexed citations
9.
Price, Allen C., et al.. (2015). DNA Motion Capture Reveals the Mechanical Properties of DNA at the Mesoscale. Biophysical Journal. 108(10). 2532–2540. 18 indexed citations
10.
Song, Dan, et al.. (2015). Tethered particle motion with single DNA molecules. American Journal of Physics. 83(5). 418–426. 11 indexed citations
11.
Graham, Thomas G.W., Xindan Wang, Dan Song, et al.. (2014). ParB spreading requires DNA bridging. Genes & Development. 28(11). 1228–1238. 143 indexed citations
12.
Brewster, Robert C., Franz M. Weinert, Hernán G. García, et al.. (2014). The Transcription Factor Titration Effect Dictates Level of Gene Expression. Cell. 156(6). 1312–1323. 178 indexed citations
13.
Wang, Congzhi, Jian Zheng, Zeping Huang, et al.. (2013). Influence of Measurement Depth on the Stiffness Assessment of Healthy Liver with Real-Time Shear Wave Elastography. Ultrasound in Medicine & Biology. 40(3). 461–469. 78 indexed citations
14.
Luo, Jiawei, Guanghui Li, Dan Song, & Liang Cheng. (2013). Integrating Functional and Topological Properties to Identify Biological Network Motif in Protein Interaction Networks. Journal of Computational and Theoretical Nanoscience. 11(3). 744–750. 5 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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