Xin‐Li Liang

99 total papers · 984 total citations
72 papers, 781 citations indexed

About

Xin‐Li Liang is a scholar working on Pharmacology, Complementary and alternative medicine and Oncology. According to data from OpenAlex, Xin‐Li Liang has authored 72 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pharmacology, 17 papers in Complementary and alternative medicine and 15 papers in Oncology. Recurrent topics in Xin‐Li Liang's work include Traditional Chinese Medicine Analysis (11 papers), Drug Transport and Resistance Mechanisms (10 papers) and Pharmacological Effects of Natural Compounds (9 papers). Xin‐Li Liang is often cited by papers focused on Traditional Chinese Medicine Analysis (11 papers), Drug Transport and Resistance Mechanisms (10 papers) and Pharmacological Effects of Natural Compounds (9 papers). Xin‐Li Liang collaborates with scholars based in China, United States and Australia. Xin‐Li Liang's co-authors include Zheng‐Gen Liao, Guowei Zhao, Jing Zhang, Xiang Li, Ming Yang, Wencai Liu, Guohua Wu, Hao Ji, Xulong Chen and Yongmei Guan and has published in prestigious journals such as Molecules, Gene and Journal of Ethnopharmacology.

In The Last Decade

Xin‐Li Liang

68 papers receiving 772 citations

Author Peers

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

Author						Papers	Cites
Xin‐Li Liang	272	175	132	100	94	72	781
Guowei Zhao	223 0.8×	85 0.5×	104 0.8×	73 0.7×	87 0.9×	52	848
Wei Xiong	330 1.2×	115 0.7×	109 0.8×	144 1.4×	69 0.7×	56	876
Guohua Zheng	339 1.2×	196 1.1×	119 0.9×	112 1.1×	106 1.1×	52	865
Ehab M. Mostafa	168 0.6×	101 0.6×	43 0.3×	112 1.1×	52 0.6×	72	743
Snehasis Jana	194 0.7×	80 0.5×	90 0.7×	95 0.9×	170 1.8×	103	841
Chao Zhang	413 1.5×	85 0.5×	100 0.8×	212 2.1×	78 0.8×	47	854
K. R. Krishna Iyer	171 0.6×	136 0.8×	297 2.3×	79 0.8×	22 0.2×	58	889
Song Hong-tao	245 0.9×	43 0.2×	159 1.2×	78 0.8×	145 1.5×	56	849
Tingting Liu	217 0.8×	82 0.5×	98 0.7×	83 0.8×	52 0.6×	51	722
Virendra Singh	196 0.7×	54 0.3×	81 0.6×	148 1.5×	44 0.5×	94	762

Countries citing papers authored by Xin‐Li Liang

Since Specialization

Citations

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

Fields of papers citing papers by Xin‐Li Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin‐Li Liang

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