Yan Song

4.5k total citations · 1 hit paper
102 papers, 2.8k citations indexed

About

Yan Song is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Yan Song has authored 102 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 18 papers in Pediatrics, Perinatology and Child Health and 14 papers in Epidemiology. Recurrent topics in Yan Song's work include Kidney Stones and Urolithiasis Treatments (14 papers), Pediatric Urology and Nephrology Studies (11 papers) and Birth, Development, and Health (6 papers). Yan Song is often cited by papers focused on Kidney Stones and Urolithiasis Treatments (14 papers), Pediatric Urology and Nephrology Studies (11 papers) and Birth, Development, and Health (6 papers). Yan Song collaborates with scholars based in China, United States and Macao. Yan Song's co-authors include Hongxing Pan, Kai Chu, Minnan Yang, Xin Chen, Gang Zeng, Xiangxi Wang, Yanjun Zhang, Weidong Yin, Xiaoyong Liu and Zhen Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yan Song

99 papers receiving 2.8k citations

Hit Papers

Safety, tolerability, and immunogenicity of an inactivate... 2020 2026 2022 2024 2020 250 500 750

Peers

Yan Song
Comparison fields: 5 of 154
  • Infectious Diseases 1.1k
  • Immunology 388
  • Epidemiology 381
  • Molecular Biology 378
  • Health 328
Birgit Weinberger Austria
Manish Dhawan India
Guangcai Duan China
Jingfu Qiu China
Henrik Svanström Denmark
Chien‐Yu Lin Taiwan
Yuping Wang China
Milena Sokołowska Switzerland
Xiaofeng Liang China
Birgit Weinberger Austria View profile →
Citations per field, relative to Yan Song
Yan Song · 1×
Citations per year, relative to Yan Song
Yan Song · 1×

Countries citing papers authored by Yan Song

Since Specialization
Citations

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

Fields of papers citing papers by Yan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Song. A scholar is included among the top collaborators of Yan 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 Yan Song. Yan 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 0
3 1
4 2
5 11
6 7
7 2
8 5
9 42
10
Preparation of PU/Fibrin Vascular Scaffold with Good Biomechanical Properties and Evaluation of Its Performance in vitro and in vivo
1
11 2
12 10
13 13
14 19
15 6
16 9
17 3
18 18
19 14
20
[Alpha-adducin gene G/W460 polymorphism is associated with intracerebral hemorrhage in Chinese].
12

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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2026