Fang Xue

141 total papers · 2.5k total citations
103 papers, 1.7k citations indexed

About

Fang Xue is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fang Xue has authored 103 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Cancer Research and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fang Xue's work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (10 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Fang Xue is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (10 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Fang Xue collaborates with scholars based in China, United States and United Kingdom. Fang Xue's co-authors include Jingmei Jiang, Li Cao, Yingyan Pu, Xueqiong Zhu, Zhongwang Yu, Dingya Sun, Cheng He, Zhenghua Xiang, Zixing Wang and Aijun Huang and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Neurology.

In The Last Decade

Fang Xue

95 papers receiving 1.7k citations

Author Peers

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

Author						Papers	Cites
Fang Xue	592	368	251	221	197	103	1.7k
Lei Xiang	776 1.3×	313 0.9×	152 0.6×	144 0.7×	176 0.9×	112	1.8k
Yuhua Fan	794 1.3×	424 1.2×	306 1.2×	325 1.5×	445 2.3×	99	2.0k
Xiang Li	564 1.0×	195 0.5×	256 1.0×	213 1.0×	199 1.0×	57	1.4k
Tingting Qin	573 1.0×	226 0.6×	259 1.0×	119 0.5×	146 0.7×	84	1.8k
James J. Yang	1.0k 1.7×	509 1.4×	193 0.8×	115 0.5×	117 0.6×	76	2.3k
Chunyan Wang	646 1.1×	227 0.6×	249 1.0×	85 0.4×	168 0.9×	97	1.7k
Shujuan Li	547 0.9×	227 0.6×	181 0.7×	250 1.1×	519 2.6×	109	1.9k
Yue Tong	679 1.1×	213 0.6×	131 0.5×	126 0.6×	137 0.7×	93	1.5k
Liqun Yang	706 1.2×	180 0.5×	216 0.9×	288 1.3×	251 1.3×	94	2.3k
Jing Zeng	485 0.8×	162 0.4×	242 1.0×	91 0.4×	279 1.4×	116	1.6k

Countries citing papers authored by Fang Xue

Since Specialization

Citations

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

Fields of papers citing papers by Fang Xue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Xue

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