Song Li

9.8k total citations · 6 hit papers
179 papers, 7.6k citations indexed

About

Song Li is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Song Li has authored 179 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 61 papers in Biomedical Engineering and 59 papers in Surgery. Recurrent topics in Song Li's work include 3D Printing in Biomedical Research (38 papers), Tissue Engineering and Regenerative Medicine (29 papers) and Cellular Mechanics and Interactions (27 papers). Song Li is often cited by papers focused on 3D Printing in Biomedical Research (38 papers), Tissue Engineering and Regenerative Medicine (29 papers) and Cellular Mechanics and Interactions (27 papers). Song Li collaborates with scholars based in United States, China and Taiwan. Song Li's co-authors include Aijun Wang, Ngan F. Huang, Julia Chu, Zhenyu Tang, Jennifer S. Park, Yang Song, Shyam Patel, Jun Chen, Guorui Chen and Jing Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Song Li

172 papers receiving 7.5k citations

Hit Papers

The effect of matrix stiffness on the differentiation of ... 2011 2026 2016 2021 2011 2021 2021 2020 2021 200 400 600

Peers

Song Li
Comparison fields: 5 of 163
  • Biomedical Engineering 3.2k
  • Molecular Biology 2.0k
  • Surgery 1.8k
  • Biomaterials 1.7k
  • Cell Biology 1.1k
Replace Craig A. Simmons with:
Craig A. Simmons Canada
Liming Bian China
Tatiana Segura United States
Kohji Nishida Japan
Yanan Du China
Todd C. McDevitt United States
Nathaniel Huebsch United States
Masaya Yamamoto Japan
Peter I. Lelkes United States
Katja Schenke‐Layland Germany
Craig A. Simmons Canada View profile →
Citations per field, relative to Song Li
Song Li · 1×
Citations per year, relative to Song Li
Song Li · 1×

Countries citing papers authored by Song Li

Since Specialization
Citations

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

Fields of papers citing papers by Song Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Li

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 51
5 18
6 3
7 3
8 76
9 34
10 6
11 9
12 39
13 47
14 37
15 46
16 10
17 9
18 10
19 6
20 7

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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