Yongyan Song

1.2k citations
58 papers · 834 indexed · h-index 16
Topics
Lipoproteins and Cardiovascular Health (9 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Lipid metabolism and disorders (7 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaCirculation Research

In The Last Decade

Yongyan Song

52 papers receiving 818 citations

Peers

Yongyan Song
Comparison fields: 5 of 95
  • Molecular Biology 261
  • Surgery 221
  • Endocrinology, Diabetes and Metabolism 207
  • Cardiology and Cardiovascular Medicine 167
  • Epidemiology 167
Replace Canan Topçuoğlu with:
Canan Topçuoğlu Türkiye
Daniel Castellano‐Castillo Spain
Christoph Grander Austria
Vannina G. Marrachelli Spain
Arijeet K. Gattu United States
Valeria Maddaloni Italy
Krithika Srikanthan United States
Camila A. Pereira Brazil
Kengo Tomita Japan
Yongyan Song relative to Canan Topçuoğlu Türkiye Canan Topçuoğlu's profile →
Citations per field
00.5×4.0×
Canan Topçuoğlu · 1×
Citations per year

Countries citing papers authored by Yongyan Song

Since Specialization
Citations

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

Fields of papers citing papers by Yongyan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongyan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yongyan Song. A scholar is included among the top collaborators of Yongyan 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 Yongyan Song. Yongyan 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
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 3
6 7
7 17
8 44
9 7
10 12
11 6
12 71
13 22
14 39
15 24
16 29
17 129
18 29
19 9
20 4

About Yongyan Song

Yongyan Song is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 58 papers that have together received 834 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Lipid metabolism and disorders (7 papers). The work is most often cited by research in Biological Psychiatry (32 citations), Endocrinology, Diabetes and Metabolism (207 citations) and Cancer Research (112 citations). Yongyan Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhan Lü, Qiaozhu Su, Zhi Luo, Muhammad Irfan, Li Zhu, Rituraj Khound, Yun Chen, Yang Yang, Yi Fang and Yang Yang‐Hartwich. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Circulation Research.

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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