Yan Song

998 total citations
52 papers, 616 citations indexed

About

Yan Song is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yan Song has authored 52 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 15 papers in Pulmonary and Respiratory Medicine and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yan Song's work include Cerebrovascular and Carotid Artery Diseases (5 papers), Gastric Cancer Management and Outcomes (4 papers) and Cardiovascular Disease and Adiposity (3 papers). Yan Song is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (5 papers), Gastric Cancer Management and Outcomes (4 papers) and Cardiovascular Disease and Adiposity (3 papers). Yan Song collaborates with scholars based in China, United States and United Kingdom. Yan Song's co-authors include Litao Ruan, Wenqing Chen, Rutai Hui, Kai Sun, Gang Liu, Yahui Liu, Guifeng Liu, Jun Feng, Xiyu Liu and Youbin Cui and has published in prestigious journals such as Journal of Clinical Oncology, Oncogene and Scientific Reports.

In The Last Decade

Yan Song

51 papers receiving 610 citations

Peers

Yan Song
Comparison fields: 5 of 90
  • Molecular Biology 188
  • Pulmonary and Respiratory Medicine 123
  • Surgery 122
  • Cardiology and Cardiovascular Medicine 119
  • Cancer Research 109
Replace Liewen Pang with:
Liewen Pang China
Chiara Armani Italy
Hui Yan China
Ruqiong Nie China
Teiji Oda Japan
Emily Harris United States
Li Wei China
Thore Hillig Denmark
Przemysław Leszek Poland
Yugang Cheng China
Liewen Pang China 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 1
2 7
3 1
4 5
5 2
6 27
7 2
8 20
9 12
10 6
11 9
12 2
13 9
14 58
15 48
16 39
17 16
18
Relationship between The Serum Levels of HMGB-1 and The Mortality Rate in Patients with Sepsis
1
19
[Association of alpha-adducin gene and G-protein beta3-subunit gene with essential hypertension in Chinese].
5
20 34

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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