Yan Song

4.5k citations
102 papers · 2.8k indexed · 1 hit paper · h-index 24

Yan Song

99 papers receiving 2.8k citations

Hit Papers

Safety, tolerability, and immunogenicity of an inactivate...9372020202620222024250500750

Peers

Yan Song
Comparison fields: 5 of 154
  • Infectious Diseases 1.1k
  • Health 328
  • Modeling and Simulation 99
  • Obstetrics and Gynecology 163
  • Immunology 388
Replace Milena Sokołowska with:
Milena Sokołowska Switzerland
Adrian R. Martineau United Kingdom
Chien‐Yu Lin Taiwan
Xiaofeng Liang China
Guangcai Duan China
Gregorio P. Milani Italy
Birgit Weinberger Austria
Meng Wang China
Bo Youl Choi South Korea
Yan Song relative to Milena Sokołowska Switzerland Milena Sokołowska's profile →
Citations per field
00.5×3.6×
Milena Sokołowska · 1×
Citations per year

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

The 25 scholars most cited alongside Yan Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yan Song Line = papers co-authored together Yan Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20242
5 202311
6 20237
7 20222
8 20225
9 202242
10
Preparation of PU/Fibrin Vascular Scaffold with Good Biomechanical Properties and Evaluation of Its Performance in vitro and in vivo
20201
11 20202
12 202010
13 201913
14 201819
15 20176
16 20159
17 20153
18 200918
19 200814
20
[Alpha-adducin gene G/W460 polymorphism is associated with intracerebral hemorrhage in Chinese].
200412

About Yan Song

Yan Song is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Nephrology, having authored 102 papers that have together received 2.8k indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (14 papers), Pediatric Urology and Nephrology Studies (11 papers), Birth, Development, and Health (6 papers), Ureteral procedures and complications (6 papers), Nutritional Studies and Diet (5 papers), HIV/AIDS Research and Interventions (5 papers), Salmonella and Campylobacter epidemiology (4 papers) and HIV, Drug Use, Sexual Risk (4 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Health (328 citations) and Modeling and Simulation (99 citations). Yan Song has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Hongxing Pan, Kai Chu, Minnan Yang, Xin Chen, Gang Zeng, Xiangxi Wang, Yanjun Zhang, Weidong Yin, Xiaoyong Liu and Zhen Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

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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