Jonathan W. Song

4.0k total citations
55 papers, 2.4k citations indexed

About

Jonathan W. Song is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Jonathan W. Song has authored 55 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 29 papers in Biomedical Engineering and 14 papers in Oncology. Recurrent topics in Jonathan W. Song's work include 3D Printing in Biomedical Research (22 papers), Angiogenesis and VEGF in Cancer (16 papers) and Cancer Cells and Metastasis (7 papers). Jonathan W. Song is often cited by papers focused on 3D Printing in Biomedical Research (22 papers), Angiogenesis and VEGF in Cancer (16 papers) and Cancer Cells and Metastasis (7 papers). Jonathan W. Song collaborates with scholars based in United States, India and Chile. Jonathan W. Song's co-authors include Lance L. Munn, Shuichi Takayama, Nobuyuki Futai, Yi‐Chung Tung, Wei Gu, Yun Seok Heo, Despina Bazou, Jacques E. Nör, Tommaso Bersano‐Begey and Kristy A. Warner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Jonathan W. Song

52 papers receiving 2.4k citations

Peers

Jonathan W. Song

ONCOL

SURGE

Jessie S. Jeon South Korea

Yoojin Shin South Korea

Ryo Sudo Japan

Yang-Kao Wang Taiwan

Michelle B. Chen United States

Jae‐Won Shin United States

Yongchao Mou United States

Cynthia Hajal United States

Simone Bersini Italy

Mahesh Devarasetty United States

Jessie S. Jeon South Korea

Jonathan W. Song

2.2k ×1.4

609 ×0.8

869 ×2.0

ONCOL

361 ×0.9

250 ×1.3

SURGE

Citations per year, relative to Jonathan W. Song Jonathan W. Song (= 1×) peers Jessie S. Jeon

Countries citing papers authored by Jonathan W. Song

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan W. Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan W. Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan W. Song. A scholar is included among the top collaborators of Jonathan W. 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 Jonathan W. Song. Jonathan W. 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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20 of 20 papers shown

Song, Jonathan W., et al.. (2024). Rapid low-cost assembly of modular microvessel-on-a-chip with benchtop xurography. Lab on a Chip. 24(21). 5065–5076.

Song, Jonathan W., et al.. (2023). Chondroitin sulfate, dermatan sulfate, and hyaluronic acid differentially modify the biophysical properties of collagen-based hydrogels. Acta Biomaterialia. 174. 116–126. 10 indexed citations

Chang, C.-S., Ajeet Kumar Verma, Manish Charan, et al.. (2022). Fibroblast-derived CXCL12 increases vascular permeability in a 3-D microfluidic model independent of extracellular matrix contractility. Frontiers in Bioengineering and Biotechnology. 10. 888431–888431. 12 indexed citations

Mishra, Sanjay, Manish Charan, Pranay Agarwal, et al.. (2022). cPLA2 blockade attenuates S100A7-mediated breast tumorigenicity by inhibiting the immunosuppressive tumor microenvironment. Journal of Experimental & Clinical Cancer Research. 41(1). 54–54. 34 indexed citations

Song, Jonathan W., et al.. (2022). Molecular sensors for detection of tumor-stroma crosstalk. Advances in cancer research. 154. 47–91. 4 indexed citations

Poirier, Michael G., et al.. (2022). Low cost and massively parallel force spectroscopy with fluid loading on a chip. Nature Communications. 13(1). 6800–6800. 6 indexed citations

Kaul, Kirti, et al.. (2021). Directional Migration of Breast Cancer Cells Hindered by Induced Electric Fields May Be Due to Accompanying Alteration of Metabolic Activity. PubMed. 3(1). 92–100. 3 indexed citations

Song, Jonathan W., et al.. (2021). Tumor treating fields: An emerging treatment modality for thoracic and abdominal cavity cancers. Translational Oncology. 15(1). 101296–101296. 9 indexed citations

Aguilar‐Valenzuela, Renan, et al.. (2020). In utero estrogenic endocrine disruption alters the stroma to increase extracellular matrix density and mammary gland stiffness. Breast Cancer Research. 22(1). 41–41. 21 indexed citations

10.

Moss, Sarah M. A., Sanjay Mishra, Kirti Kaul, et al.. (2019). Electromagnetic fields alter the motility of metastatic breast cancer cells. Communications Biology. 2(1). 303–303. 27 indexed citations

11.

Chang, Edwin, Chirag B. Patel, Christoph Pohling, et al.. (2018). Tumor treating fields increases membrane permeability in glioblastoma cells. Cell Death Discovery. 4(1). 113–113. 108 indexed citations

12.

Sizemore, Gina M., Vasudha Shukla, Steven T. Sizemore, et al.. (2017). Stromal PDGFR-α Activation Enhances Matrix Stiffness, Impedes Mammary Ductal Development, and Accelerates Tumor Growth. Neoplasia. 19(6). 496–508. 53 indexed citations

13.

Yoon, Michael K., et al.. (2012). Surgical Management of an Optic Nerve Glioma with Perineural Arachnoidal Gliomatosis Growth Pattern. Journal of Neuro-Ophthalmology. 33(1). 51–53. 4 indexed citations

14.

Song, Jonathan W., Despina Bazou, & Lance L. Munn. (2012). Anastomosis of endothelial sprouts forms new vessels in a tissue analogue of angiogenesis. Integrative Biology. 4(8). 857–857. 82 indexed citations

15.

Song, Jonathan W., Julien Daubriac, Janet M. Tse, Despina Bazou, & Lance L. Munn. (2012). RhoA mediates flow-induced endothelial sprouting in a 3-D tissue analogue of angiogenesis. Lab on a Chip. 12(23). 5000–5000. 38 indexed citations

16.

Song, Jonathan W. & Lance L. Munn. (2011). Fluid forces control endothelial sprouting. Proceedings of the National Academy of Sciences. 108(37). 15342–15347. 397 indexed citations

17.

Song, Jonathan W., Stephen P. Cavnar, Ann C. Walker, et al.. (2009). Microfluidic Endothelium for Studying the Intravascular Adhesion of Metastatic Breast Cancer Cells. PLoS ONE. 4(6). e5756–e5756. 254 indexed citations

18.

Kamotani, Yoko, Tommaso Bersano‐Begey, Nobuhiro Kato, et al.. (2008). Individually programmable cell stretching microwell arrays actuated by a Braille display. Biomaterials. 29(17). 2646–2655. 101 indexed citations

19.

Futai, Nobuyuki, Wei Gu, Jonathan W. Song, & Shuichi Takayama. (2005). Handheld recirculation system and customized media for microfluidic cell culture. Lab on a Chip. 6(1). 149–154. 83 indexed citations

20.

O’Connor, Lawrence T., Brian D. Goetz, Eduardo Couve, Jonathan W. Song, & Ian D. Duncan. (2000). Intracellular Distribution of Myelin Protein Gene Products Is Altered in Oligodendrocytes of the taiep Rat. Molecular and Cellular Neuroscience. 16(4). 396–407. 37 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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