Song Gu

521 total citations
35 papers, 389 citations indexed

About

Song Gu is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Song Gu has authored 35 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 18 papers in Pulmonary and Respiratory Medicine and 12 papers in Molecular Biology. Recurrent topics in Song Gu's work include Pulmonary Hypertension Research and Treatments (11 papers), Cardiac and Coronary Surgery Techniques (6 papers) and Cardiac Valve Diseases and Treatments (5 papers). Song Gu is often cited by papers focused on Pulmonary Hypertension Research and Treatments (11 papers), Cardiac and Coronary Surgery Techniques (6 papers) and Cardiac Valve Diseases and Treatments (5 papers). Song Gu collaborates with scholars based in China, Myanmar and United States. Song Gu's co-authors include Pixiong Su, Jun Yan, Jie Gao, Chen Wang, Jian Zhou, Yan Liu, Yuanhua Yang, Hui‐Li Gan, Lijuan Guo and Jifeng Li and has published in prestigious journals such as PLoS ONE, World Journal of Gastroenterology and American Journal of Physiology-Lung Cellular and Molecular Physiology.

In The Last Decade

Song Gu

35 papers receiving 387 citations

Peers

Song Gu
Comparison fields: 5 of 57
  • Molecular Biology 185
  • Pulmonary and Respiratory Medicine 161
  • Cardiology and Cardiovascular Medicine 150
  • Cancer Research 116
  • Surgery 50
Replace Nina Rol with:
Nina Rol Netherlands
Nadjim Chelghoum France
Jeffrey Trachtenberg United States
D. Hunter Best United States
Simon C. Rowan Ireland
Konrad Hoeft Germany
Martina Morowski Germany
Brigitte Spath Germany
Jiedan Ping China
Noriaki Kasayuki Japan
Nina Rol Netherlands View profile →
Citations per field, relative to Song Gu
Song Gu · 1×
Citations per year, relative to Song Gu
Song Gu · 1×

Countries citing papers authored by Song Gu

Since Specialization
Citations

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

Fields of papers citing papers by Song Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Song Gu. A scholar is included among the top collaborators of Song Gu 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 Gu. Song Gu 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 6
2 9
3 3
4 2
5 6
6 3
7 1
8 24
9 18
10 1
11 10
12 34
13 2
14 55
15 4
16 22
17 9
18 2
19
Low-dose amiodarone for the prevention of atrial fibrillation after coronary artery bypass grafting in patients older than 70 years.
15
20 5

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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