Pengfei Song

7.9k total citations · 1 hit paper
174 papers, 5.3k citations indexed

About

Pengfei Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Pengfei Song has authored 174 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Radiology, Nuclear Medicine and Imaging, 112 papers in Biomedical Engineering and 27 papers in Mechanics of Materials. Recurrent topics in Pengfei Song's work include Ultrasound Imaging and Elastography (112 papers), Photoacoustic and Ultrasonic Imaging (83 papers) and Ultrasound and Hyperthermia Applications (77 papers). Pengfei Song is often cited by papers focused on Ultrasound Imaging and Elastography (112 papers), Photoacoustic and Ultrasonic Imaging (83 papers) and Ultrasound and Hyperthermia Applications (77 papers). Pengfei Song collaborates with scholars based in United States, China and France. Pengfei Song's co-authors include Shigao Chen, Armando Manduca, James F. Greenleaf, Sarah F. Eby, Heng Zhao, Matthew W. Urban, Joshua D. Trzasko, Kai‐Nan An, Matthew R. Lowerison and Ping Gong and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Pengfei Song

167 papers receiving 5.2k citations

Hit Papers

Validation of shear wave elastography in skeletal muscle 2013 2026 2017 2021 2013 100 200 300 400

Peers

Pengfei Song
Comparison fields: 5 of 157
  • Radiology, Nuclear Medicine and Imaging 3.1k
  • Biomedical Engineering 2.8k
  • Mechanics of Materials 815
  • Orthopedics and Sports Medicine 731
  • Oncology 657
Replace Flemming Forsberg with:
Flemming Forsberg United States
Tsuyoshi Shiina Japan
Chandra M. Sehgal United States
Dianna D. Cody United States
Marvin M. Doyley United States
Mitchell M. Goodsitt United States
Kenneth Hoyt United States
V. Bousson France
Ernest J. Feleppa United States
Peter Regitnig Austria
Flemming Forsberg United States View profile →
Citations per field, relative to Pengfei Song
Pengfei Song · 1×
Citations per year, relative to Pengfei Song
Pengfei Song · 1×

Countries citing papers authored by Pengfei Song

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Song. A scholar is included among the top collaborators of Pengfei 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 Pengfei Song. Pengfei Song 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 4
3 7
4 1
5 4
6 29
7 5
8 2
9 13
10 21
11 6
12 86
13 19
14 45
15 35
16 25
17 2
18 38
19 32
20 261

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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