Xinbo Song

72 total papers · 983 total citations
56 papers, 790 citations indexed

About

Xinbo Song is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Xinbo Song has authored 56 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 18 papers in Complementary and alternative medicine and 17 papers in Pharmacology. Recurrent topics in Xinbo Song's work include Natural product bioactivities and synthesis (20 papers), Pharmacological Effects of Natural Compounds (14 papers) and Traditional Chinese Medicine Analysis (13 papers). Xinbo Song is often cited by papers focused on Natural product bioactivities and synthesis (20 papers), Pharmacological Effects of Natural Compounds (14 papers) and Traditional Chinese Medicine Analysis (13 papers). Xinbo Song collaborates with scholars based in China, United States and Japan. Xinbo Song's co-authors include Heshui Yu, Lifeng Han, Baiping Ma, Liping Kang, Xiumei Gao, Hui Ding, Yang Zhao, Wenzhi Yang, Wei Li and Cheng‐Qi Xiong and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Molecules and Journal of Ethnopharmacology.

In The Last Decade

Xinbo Song

53 papers receiving 778 citations

Author Peers

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

Author						Papers	Cites
Xinbo Song	506	220	146	132	112	56	790
Jing Liu	358 0.7×	163 0.7×	150 1.0×	150 1.1×	144 1.3×	43	881
Manyuan Wang	327 0.6×	152 0.7×	90 0.6×	139 1.1×	51 0.5×	54	727
Hao Wu	336 0.7×	191 0.9×	114 0.8×	177 1.3×	44 0.4×	56	881
Wanyi Li	377 0.7×	232 1.1×	114 0.8×	75 0.6×	31 0.3×	55	816
Changcai Bai	390 0.8×	170 0.8×	75 0.5×	61 0.5×	37 0.3×	44	732
Jicheng Shu	318 0.6×	181 0.8×	84 0.6×	107 0.8×	66 0.6×	60	742
Nan Si	518 1.0×	128 0.6×	162 1.1×	159 1.2×	38 0.3×	56	876
Xue Jiang	347 0.7×	138 0.6×	80 0.5×	90 0.7×	27 0.2×	45	711
Yuguang Zheng	294 0.6×	373 1.7×	125 0.9×	99 0.8×	44 0.4×	107	897
Chunjuan Yang	414 0.8×	182 0.8×	145 1.0×	168 1.3×	23 0.2×	68	850

Countries citing papers authored by Xinbo Song

Since Specialization

Citations

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

Fields of papers citing papers by Xinbo Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinbo Song

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