Ci Song

18.0k citations
47 papers · 750 indexed · h-index 16

Impact in

Papers in

Ci Song

43 papers receiving 722 citations

Peers

Ci Song
Comparison fields: 5 of 127
  • Aging 37
  • Electronic, Optical and Magnetic Materials 104
  • Biomedical Engineering 214
  • Surfaces, Coatings and Films 32
  • Genetics 115
Replace G. Romano with:
G. Romano Italy
Keisuke Hashimoto Japan
Ruiqi Li China
Po‐Lin Chen Taiwan
Kuo-Ming Chang Taiwan
Yiyang Ma China
Rongguo Fu China
Aya Sato Japan
Namseok Lee South Korea
Hiroshi Akahori Japan
Ci Song relative to G. Romano Italy G. Romano's profile →
Citations per field
00.5×4.6×
G. Romano · 1×
Citations per year

Countries citing papers authored by Ci Song

Since Specialization
Citations

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

Fields of papers citing papers by Ci Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ci 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 Ci Song Line = papers co-authored together Ci 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 20225
6 20212
7 202114
8 2019112
9 20192
10 201840
11 201817
12 201725
13 201714
14
Abstract 18806: Integrated Proteomic Analysis of Cardiovascular Disease Reveals Novel Protein Quantitative Trait Loci
20161
15
Abstract 19305: Higher Levels of Beta-2 Microglobulin Predict Incident Hypertension
20161
16 201513
17 201515
18 20151
19 20139
20 198841

About Ci Song

Ci Song is a scholar working on Acoustics and Ultrasonics, Surfaces, Coatings and Films, Aging, Applied Microbiology and Biotechnology and Biomedical Engineering, having authored 47 papers that have together received 750 indexed citations. Recurring topics across this work include Plasmonic and Surface Plasmon Research (13 papers), Photonic and Optical Devices (12 papers), Advanced Surface Polishing Techniques (6 papers), Photonic Crystals and Applications (6 papers), Genetic Associations and Epidemiology (5 papers), Laser Material Processing Techniques (4 papers), Optical Coatings and Gratings (4 papers) and Terahertz technology and applications (3 papers). The work is most often cited by research in Aging (37 citations), Electronic, Optical and Magnetic Materials (104 citations), Biomedical Engineering (214 citations), Surfaces, Coatings and Films (32 citations) and Genetics (115 citations). Ci Song has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zheng-Da Hu, Nancy L. Pedersen, Jicheng Wang, Feng Zhang, Sara Hägg, Jing Hang, Chandra A. Reynolds, Yiqiang Zhan, Robert Karlsson and Annika Tillander. Their work appears in journals such as Optics Express, Measurement, Circulation, Applied Optics and Optics & Laser Technology.

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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