Liang Xiang

112 total papers · 1.0k total citations
63 papers, 665 citations indexed

About

Liang Xiang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Liang Xiang has authored 63 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Cancer Research. Recurrent topics in Liang Xiang's work include Medical Imaging Techniques and Applications (11 papers), Radiopharmaceutical Chemistry and Applications (10 papers) and Cancer-related molecular mechanisms research (8 papers). Liang Xiang is often cited by papers focused on Medical Imaging Techniques and Applications (11 papers), Radiopharmaceutical Chemistry and Applications (10 papers) and Cancer-related molecular mechanisms research (8 papers). Liang Xiang collaborates with scholars based in China, Yemen and United States. Liang Xiang's co-authors include Kongzhen Hu, Hongliang Wang, Tingting Huang, Ganghua Tang, Xiaolan Tang, Ke Cao, Dong He, Mengqing Xiao, Yuxing Zhu and Lian Gong and has published in prestigious journals such as PLoS ONE, Oncogene and Scientific Reports.

In The Last Decade

Liang Xiang

57 papers receiving 660 citations

Author Peers

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

Author						Papers	Cites
Liang Xiang	328	200	110	88	74	63	665
Akihide Negishi	340 1.0×	116 0.6×	97 0.9×	116 1.3×	144 1.9×	57	739
Fan Wu	268 0.8×	141 0.7×	55 0.5×	27 0.3×	62 0.8×	43	611
M. E. Itoiz	202 0.6×	68 0.3×	261 2.4×	76 0.9×	60 0.8×	52	761
Monireh Golpour	310 0.9×	152 0.8×	94 0.9×	29 0.3×	59 0.8×	50	734
Yue Zhai	279 0.9×	92 0.5×	29 0.3×	39 0.4×	68 0.9×	46	664
Lin Ma	140 0.4×	67 0.3×	127 1.2×	103 1.2×	174 2.4×	56	672
Atsushi Noguchi	143 0.4×	70 0.3×	60 0.5×	76 0.9×	71 1.0×	63	628
Tian Tian	290 0.9×	79 0.4×	203 1.8×	49 0.6×	173 2.3×	59	762
Huanhuan Wu	293 0.9×	61 0.3×	28 0.3×	59 0.7×	140 1.9×	32	762
Jin-Soo Kim	237 0.7×	87 0.4×	34 0.3×	15 0.2×	39 0.5×	59	579

Countries citing papers authored by Liang Xiang

Since Specialization

Citations

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

Fields of papers citing papers by Liang Xiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Xiang

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