Jiayu Song

1.8k citations
48 papers · 1.2k indexed · 1 hit paper · h-index 17
Topics
Advanced MRI Techniques and Applications (6 papers)Renal Diseases and Glomerulopathies (5 papers)Cancer-related molecular mechanisms research (5 papers)

In The Last Decade

Jiayu Song

44 papers receiving 1.2k citations

Hit Papers

Tumor Cell-Targeting and Tumor Microenvironment–Responsiv...202420262025202450100150200

Peers

Jiayu Song
Comparison fields: 5 of 128
  • Molecular Biology 320
  • Biomedical Engineering 293
  • Radiology, Nuclear Medicine and Imaging 222
  • Pulmonary and Respiratory Medicine 129
  • Cancer Research 124
Replace Yunhan Wang with:
Yunhan Wang China
Junichi Yamazaki Japan
Marc Thiriet France
Volker Schmitz Germany
Yan Shi China
Yaping Wu China
Christian Schmidt Germany
J Tsai United States
Takashi Nitta Japan
Anuradha Roy United States
Jiayu Song relative to Yunhan Wang China Yunhan Wang's profile →
Citations per field
00.5×3.1×
Yunhan Wang · 1×
Citations per year

Countries citing papers authored by Jiayu Song

Since Specialization
Citations

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

Fields of papers citing papers by Jiayu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiayu Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jiayu Song. A scholar is included among the top collaborators of Jiayu 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 Jiayu Song. Jiayu 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 2
3 1
4 7
5 7
6 13
7 46
8 6
9 3
10 25
11 5
12 20
13 11
14 19
15 17
16 19
17 10
18 42
19 24
20 136

About Jiayu Song

Jiayu Song is a scholar working on Nephrology, Obstetrics and Gynecology and Cancer Research, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (6 papers), Renal Diseases and Glomerulopathies (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Nephrology (122 citations), Radiology, Nuclear Medicine and Imaging (222 citations) and Cancer Research (124 citations). Jiayu Song has collaborated with scholars based in China, United States and Sri Lanka. Frequent co-authors include Qing Liu, G. Allan Johnson, Zhanjun Jia, Aihua Zhang, Cristian T. Badea, Yunyan Zhang, Peter A. Torrione, Leslie M. Collins, Le Wang and Nan Yang. Their work appears in journals such as Kidney International, IEEE Transactions on Geoscience and Remote Sensing and Magnetic Resonance in Medicine.

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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