Jonathan W. Song

4.0k citations
55 papers · 2.4k indexed · h-index 23
    • 3D Printing in Biomedical Research 22
    • Microfluidic and Bio-sensing Technologies 6
    • Innovative Microfluidic and Catalytic Techniques Innovation 4
    • Cellular Mechanics and Interactions 6
    • Proteoglycans and glycosaminoglycans research 5
  • Oncology top 10%
    • Cancer Cells and Metastasis 7
  • Biomaterials top 10%
    • Angiogenesis and VEGF in Cancer 16
    • Planarian Biology and Electrostimulation 4

Jonathan W. Song

52 papers receiving 2.4k citations

Peers

Jonathan W. Song
Comparison fields: 5 of 106
  • Biomedical Engineering 1.5k
  • Cell Biology 415
  • Oncology 442
  • Biomaterials 170
  • Immunology and Allergy 78
Replace Ryo Sudo with:
Ryo Sudo Japan
Michelle B. Chen United States
Yoojin Shin South Korea
Jessie S. Jeon South Korea
Ioannis K. Zervantonakis United States
Cynthia Hajal United States
Rosa S. Schneiderman Israel
Jae‐Won Shin United States
Kandice Tanner United States
Simone Bersini Italy
Jonathan W. Song relative to Ryo Sudo Japan Ryo Sudo's profile →
Citations per field
00.5×
Ryo Sudo · 1×
Citations per year

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

The 25 scholars most cited alongside Jonathan W. Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan W. Song Line = papers co-authored together Jonathan W. Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 202310
3 202212
4 202234
5 20224
6 20226
7 20213
8 20219
9 202021
10 201927
11 2018108
12 201753
13 20124
14 201282
15 201238
16 2011397
17 2009254
18 2008101
19 200583
20 200037

About Jonathan W. Song

Jonathan W. Song is a scholar working on Cell Biology, Structural Biology and Biomedical Engineering, having authored 55 papers that have together received 2.4k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (22 papers), Angiogenesis and VEGF in Cancer (16 papers), Cancer Cells and Metastasis (7 papers), Cellular Mechanics and Interactions (6 papers), Microfluidic and Bio-sensing Technologies (6 papers), Proteoglycans and glycosaminoglycans research (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Planarian Biology and Electrostimulation (4 papers). The work is most often cited by research in Biomedical Engineering (1.5k citations), Cell Biology (415 citations) and Oncology (442 citations). Jonathan W. Song has collaborated with scholars based in United States, India and Chile. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

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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