Song Li

3.7k total citations
147 papers, 2.7k citations indexed

About

Song Li is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Song Li has authored 147 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 26 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Surgery. Recurrent topics in Song Li's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Head and Neck Cancer Studies (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Song Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Head and Neck Cancer Studies (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Song Li collaborates with scholars based in China, United States and Hong Kong. Song Li's co-authors include Shu Chien, Michael Kim, Suli Yuan, Ying‐Li Hu, Yi‐Shuan Li, Kuang‐Den Chen, David D. Schlaepfer, Tony Hunter, Shila Jalali and Shunichi Usami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Song Li

137 papers receiving 2.7k citations

Peers

Song Li
Comparison fields: 5 of 159
  • Molecular Biology 1.1k
  • Cell Biology 557
  • Immunology and Allergy 435
  • Physiology 403
  • Cancer Research 314
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César Nombela‐Arrieta Switzerland
Irina B. Mazo United States
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Gabriela Aust Germany
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Stefan Beissert Germany 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 1
2 1
3 0
4 5
5 2
6 13
7 5
8 12
9 11
10 2
11 6
12 28
13 6
14 88
15 36
16
pnd yu he ji dui mei guo xing li shu gan fu bing shang kou de yu he xiao guo
1
17
Status and preventive measures of HIV mother-to-fetus transmission in Guangxi Zhuang Autonomous Region
1
18
Genetic Diagnosis of Spinal Muscular Atrophy Using MLPA
1
19 44
20
[Common mutation analysis for patients found in Tianjin area with glucose-6-phosphate dehydrogenase deficiency].
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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