Chengwu Song

73 total papers · 773 total citations
55 papers, 639 citations indexed

About

Chengwu Song is a scholar working on Molecular Biology, Complementary and alternative medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Chengwu Song has authored 55 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 13 papers in Complementary and alternative medicine and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Chengwu Song's work include Metabolomics and Mass Spectrometry Studies (15 papers), Traditional Chinese Medicine Analysis (12 papers) and Natural product bioactivities and synthesis (12 papers). Chengwu Song is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (15 papers), Traditional Chinese Medicine Analysis (12 papers) and Natural product bioactivities and synthesis (12 papers). Chengwu Song collaborates with scholars based in China and Israel. Chengwu Song's co-authors include Shuna Jin, Hongliang Jiang, Sen Li, Yulin Feng, Yi Xiang, Yong Xu, Shanggong Yu, Nianbai Fang, Zhifeng Du and Yang Zhang and has published in prestigious journals such as Food Chemistry, Journal of Nutrition and Journal of Chromatography A.

In The Last Decade

Chengwu Song

52 papers receiving 633 citations

Author Peers

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

Author						Papers	Cites
Chengwu Song	348	128	103	82	81	55	639
Julia Kin-Ming Lee	357 1.0×	119 0.9×	111 1.1×	72 0.9×	65 0.8×	29	736
Sun‐Young Kim	250 0.7×	92 0.7×	87 0.8×	38 0.5×	37 0.5×	31	673
Yong Huang	282 0.8×	116 0.9×	129 1.3×	39 0.5×	25 0.3×	71	749
Preethi Vetrivel	416 1.2×	50 0.4×	71 0.7×	40 0.5×	75 0.9×	33	770
Yun Luo	262 0.8×	102 0.8×	111 1.1×	56 0.7×	19 0.2×	45	576
Tae Su Jang	319 0.9×	116 0.9×	117 1.1×	26 0.3×	53 0.7×	44	661
Wan Liao	279 0.8×	78 0.6×	156 1.5×	83 1.0×	21 0.3×	32	660
Xiao Chen	192 0.6×	54 0.4×	94 0.9×	36 0.4×	34 0.4×	36	657
Ruolan Song	328 0.9×	78 0.6×	67 0.7×	18 0.2×	47 0.6×	33	607
Adebowale Benard Saba	156 0.4×	94 0.7×	158 1.5×	48 0.6×	51 0.6×	56	751

Countries citing papers authored by Chengwu Song

Since Specialization

Citations

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

Fields of papers citing papers by Chengwu Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengwu Song

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