Zichen Song

27 total papers · 405 total citations
22 papers, 281 citations indexed

About

Zichen Song is a scholar working on Molecular Biology, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Zichen Song has authored 22 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Materials Chemistry and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Zichen Song's work include Advanced Nanomaterials in Catalysis (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Nanocluster Synthesis and Applications (3 papers). Zichen Song is often cited by papers focused on Advanced Nanomaterials in Catalysis (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Nanocluster Synthesis and Applications (3 papers). Zichen Song collaborates with scholars based in China, Germany and South Korea. Zichen Song's co-authors include Haoshu Fang, Craig J. McClain, Jérôme Lambert, Mingxing Liu, Anding Liu, Uta Dahmen, Lijuan Lin, Jian Zhu, Chang Yin Liang and Hongmei Sun and has published in prestigious journals such as Hepatology, Food Chemistry and Chemical Engineering Journal.

In The Last Decade

Zichen Song

18 papers receiving 273 citations

Author Peers

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

Author						Papers	Cites
Zichen Song	119	59	47	42	38	22	281
Fangling Zhang	129 1.1×	32 0.5×	33 0.7×	14 0.3×	28 0.7×	17	294
Ling Ning	131 1.1×	32 0.5×	36 0.8×	18 0.4×	40 1.1×	20	331
Shuai Han	152 1.3×	42 0.7×	38 0.8×	32 0.8×	34 0.9×	28	325
Nahid Einollahi	73 0.6×	70 1.2×	12 0.3×	17 0.4×	28 0.7×	36	316
Min Woo Sung	202 1.7×	19 0.3×	33 0.7×	62 1.5×	11 0.3×	20	311
Xiaotong Han	76 0.6×	41 0.7×	22 0.5×	11 0.3×	37 1.0×	23	298
Nannan Wang	122 1.0×	33 0.6×	17 0.4×	22 0.5×	37 1.0×	32	307
Ming Tsuey Chew	73 0.6×	46 0.8×	24 0.5×	36 0.9×	36 0.9×	28	301
Ruifang Yang	107 0.9×	37 0.6×	15 0.3×	21 0.5×	18 0.5×	23	310
Zhengru Liu	155 1.3×	29 0.5×	22 0.5×	9 0.2×	31 0.8×	17	325

Countries citing papers authored by Zichen Song

Since Specialization

Citations

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

Fields of papers citing papers by Zichen Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zichen Song

This figure shows the co-authorship network connecting the top 25 collaborators of Zichen Song. A scholar is included among the top collaborators of Zichen 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 Zichen Song. Zichen Song 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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