Song Chen

89 total papers · 1.4k total citations
57 papers, 955 citations indexed

About

Song Chen is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Song Chen has authored 57 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Spectroscopy and 14 papers in Materials Chemistry. Recurrent topics in Song Chen's work include Advanced Fluorescence Microscopy Techniques (8 papers), Advanced NMR Techniques and Applications (8 papers) and NMR spectroscopy and applications (8 papers). Song Chen is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (8 papers), Advanced NMR Techniques and Applications (8 papers) and NMR spectroscopy and applications (8 papers). Song Chen collaborates with scholars based in China, United States and Germany. Song Chen's co-authors include Peng Hou, Xiangzhi Song, Jianxiu Wang, Carole A. Parent, Hongbo Wang, Kislon Voı̈tchovsky, Feng‐Rong Wang, Wei Zhang, Ming‐Lin Liu and Pierre A. Coulombe and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Cell Biology.

In The Last Decade

Song Chen

50 papers receiving 942 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Song Chen	378	337	289	197	119	57	955
Nandaraj Taye	377 1.0×	335 1.0×	338 1.2×	158 0.8×	114 1.0×	30	871
Ruochuan Liu	375 1.0×	251 0.7×	195 0.7×	347 1.8×	56 0.5×	37	871
Zhe Dong	112 0.3×	255 0.8×	290 1.0×	103 0.5×	349 2.9×	56	981
Atul Katarkar	524 1.4×	322 1.0×	256 0.9×	60 0.3×	37 0.3×	51	914
Shengnan Xu	122 0.3×	400 1.2×	230 0.8×	45 0.2×	152 1.3×	61	1.0k
Yun Lv	407 1.1×	270 0.8×	501 1.7×	276 1.4×	252 2.1×	38	1.2k
Xiao Zhang	250 0.7×	438 1.3×	523 1.8×	201 1.0×	329 2.8×	50	1.1k
Yangyang Yang	274 0.7×	448 1.3×	222 0.8×	55 0.3×	113 0.9×	45	830
Da Xie	162 0.4×	324 1.0×	474 1.6×	43 0.2×	129 1.1×	35	1.0k
Shankun Yao	282 0.7×	271 0.8×	381 1.3×	142 0.7×	419 3.5×	39	911

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-authorship network of co-authors of Song Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Song Chen. A scholar is included among the top collaborators of Song Chen 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 Chen. Song Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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