Shunxiang Li

131 total papers · 857 total citations
82 papers, 647 citations indexed

About

Shunxiang Li is a scholar working on Molecular Biology, Complementary and alternative medicine and Plant Science. According to data from OpenAlex, Shunxiang Li has authored 82 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 19 papers in Complementary and alternative medicine and 15 papers in Plant Science. Recurrent topics in Shunxiang Li's work include Traditional Chinese Medicine Analysis (12 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Natural product bioactivities and synthesis (6 papers). Shunxiang Li is often cited by papers focused on Traditional Chinese Medicine Analysis (12 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Natural product bioactivities and synthesis (6 papers). Shunxiang Li collaborates with scholars based in China, United States and Canada. Shunxiang Li's co-authors include Kun Qian, Fengqin Li, Quansheng Liu, Zhiyong Xie, Yongjun Jian, Haiyang Su, Guang‐Zhong Yang, Aiguo Wu, Neng Zhu and Qin Li and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Shunxiang Li

71 papers receiving 639 citations

Author Peers

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

Author						Papers	Cites
Shunxiang Li	245	176	71	65	59	82	647
Fang Geng	286 1.2×	127 0.7×	92 1.3×	76 1.2×	63 1.1×	38	696
Jiajun Huang	330 1.3×	111 0.6×	70 1.0×	41 0.6×	71 1.2×	47	714
Yang Yue	224 0.9×	153 0.9×	97 1.4×	42 0.6×	58 1.0×	39	753
Junmei Liu	289 1.2×	103 0.6×	115 1.6×	41 0.6×	40 0.7×	50	771
Rupesh K. Gautam	275 1.1×	87 0.5×	88 1.2×	55 0.8×	108 1.8×	66	760
Jiahao Lin	233 1.0×	81 0.5×	62 0.9×	75 1.2×	84 1.4×	45	685
Yongping Zhang	311 1.3×	146 0.8×	69 1.0×	33 0.5×	65 1.1×	50	712
Xie‐an Yu	340 1.4×	164 0.9×	105 1.5×	108 1.7×	59 1.0×	60	724
Imran Tariq	237 1.0×	154 0.9×	77 1.1×	33 0.5×	40 0.7×	38	723
Shoba Narayan	200 0.8×	135 0.8×	109 1.5×	95 1.5×	46 0.8×	46	753

Countries citing papers authored by Shunxiang Li

Since Specialization

Citations

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

Fields of papers citing papers by Shunxiang Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunxiang Li

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