Shaoli Song

6.6k total citations · 3 hit papers
218 papers, 5.1k citations indexed

About

Shaoli Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Shaoli Song has authored 218 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Radiology, Nuclear Medicine and Imaging, 66 papers in Pulmonary and Respiratory Medicine and 63 papers in Oncology. Recurrent topics in Shaoli Song's work include Radiomics and Machine Learning in Medical Imaging (53 papers), Medical Imaging Techniques and Applications (43 papers) and Radiopharmaceutical Chemistry and Applications (33 papers). Shaoli Song is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (53 papers), Medical Imaging Techniques and Applications (43 papers) and Radiopharmaceutical Chemistry and Applications (33 papers). Shaoli Song collaborates with scholars based in China, United States and Australia. Shaoli Song's co-authors include Chun Li, Min Zhou, Wei Lü, Geng Ku, Qian Huang, Gang Huang, Marites P. Melancon, Miao Huang, Mei Tian and John D. Hazle and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Shaoli Song

207 papers receiving 5.1k citations

Hit Papers

A Chelator-Free Multifunctional [64Cu]CuS Nanoparticle Pl... 2010 2026 2015 2020 2010 2012 2022 200 400 600

Peers

Shaoli Song
Comparison fields: 5 of 146
  • Biomedical Engineering 2.0k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Molecular Biology 1.2k
  • Materials Chemistry 1.0k
  • Pulmonary and Respiratory Medicine 896
Replace Jian He with:
Jian He China
Xiaoli Lan China
Xiankai Sun United States
Daniel L.J. Thorek United States
Christoph Bremer Germany
Zhibo Liu China
Pengfei Rong China
Michelle S. Bradbury United States
Fan Wang China
Olivier Gheysens Belgium
Jian He China View profile →
Citations per field, relative to Shaoli Song
Shaoli Song · 1×
Citations per year, relative to Shaoli Song
Shaoli Song · 1×

Countries citing papers authored by Shaoli Song

Since Specialization
Citations

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

Fields of papers citing papers by Shaoli Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoli Song

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoli Song. A scholar is included among the top collaborators of Shaoli 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 Shaoli Song. Shaoli 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 2
3 5
4 0
5 7
6 2
7 0
8 7
9 1
10 17
11 30
12 31
13 9
14 2
15 49
16 2
17 2
18 6
19 1
20 1

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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