Song Chen

1.4k citations
59 papers · 964 · h-index 18

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 6
    • Advanced NMR Techniques and Applications 8
    • Molecular Sensors and Ion Detection 7

Song Chen

51 papers receiving 951 citations

Peers

Song Chen
Comparison fields: 5 of 119
  • Biochemistry 197
  • Spectroscopy 378
  • Bioengineering 51
  • Materials Chemistry 290
  • Cell Biology 90
Replace Masayo Sakabe with:
Masayo Sakabe Japan
Xue Wu China
Weiying Lin China
Edward J. Delikatny United States
Erlong Zhang China
Takayuki Torigoe Japan
Galen S. Loving United States
Zoltán Pálinkás Hungary
Elena A. Dubikovskaya Switzerland
Wei‐Chuan Sun United States
Song Chen relative to Masayo Sakabe Japan Masayo Sakabe's profile →
Citations per field
00.5×1.5×2.3×
Masayo Sakabe · 1×
Citations per year

Countries citing papers authored by Song Chen

Since Specialization
Citations

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

Fields of papers citing papers by Song Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Song Chen, 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 Song Chen Line = papers co-authored together Song Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012138
2 2013120
3 201869
4 201856
5 202251
6 201748
7 201439
8 201938
9 201937
10 201330
11 202027
12 201826
13 201426
14 201525
15 202224
16 202324
17 202223
18 201617
19 202217
20 202114

About Song Chen

Song Chen is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Biophysics and Nuclear and High Energy Physics, having authored 59 papers that have together received 964 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (8 papers), Advanced Fluorescence Microscopy Techniques (8 papers), NMR spectroscopy and applications (8 papers), Molecular Sensors and Ion Detection (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Luminescence and Fluorescent Materials (6 papers), Advanced Electron Microscopy Techniques and Applications (4 papers) and Cellular Mechanics and Interactions (4 papers). The work is most often cited by research in Biochemistry (197 citations), Spectroscopy (378 citations), Bioengineering (51 citations), Materials Chemistry (290 citations) and Cell Biology (90 citations). Song Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Peng Hou, Xiangzhi Song, Jianxiu Wang, Carole A. Parent, Hongbo Wang, Kislon Voı̈tchovsky, Wei Zhang, Pierre A. Coulombe, Feng‐Rong Wang and Ming‐Lin Liu. Their work appears in journals such as European Journal of Medicinal Chemistry, Chemical Physics Letters, Angewandte Chemie International Edition, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and The Journal of Cell Biology.

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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