Xiaolong Wu

95 total papers · 1.2k total citations
75 papers, 894 citations indexed

About

Xiaolong Wu is a scholar working on Molecular Biology, Reproductive Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Xiaolong Wu has authored 75 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 31 papers in Reproductive Medicine and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Xiaolong Wu's work include Sperm and Testicular Function (31 papers), Reproductive Biology and Fertility (15 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers). Xiaolong Wu is often cited by papers focused on Sperm and Testicular Function (31 papers), Reproductive Biology and Fertility (15 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers). Xiaolong Wu collaborates with scholars based in China, United States and Hong Kong. Xiaolong Wu's co-authors include Fei Sun, C. Yan Cheng, Ren‐Shan Ge, Qiang Zhuge, Lingling Wang, Sheng Gao, Ali Movahedi, Huan Wang, Tiao Bu and Huijie Lü and has published in prestigious journals such as Journal of Power Sources, Analytical Biochemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xiaolong Wu

70 papers receiving 888 citations

Author Peers

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

Author						Papers	Cites
Xiaolong Wu	350	264	156	155	122	75	894
Yi Fang	225 0.6×	272 1.0×	99 0.6×	274 1.8×	99 0.8×	63	1.1k
Yulin Zhou	281 0.8×	76 0.3×	29 0.2×	91 0.6×	165 1.4×	79	1.0k
Xiaoyi Chen	512 1.5×	46 0.2×	154 1.0×	46 0.3×	117 1.0×	67	982
Xinhong Li	221 0.6×	197 0.7×	35 0.2×	133 0.9×	41 0.3×	57	795
Jin-Ki Park	333 1.0×	137 0.5×	35 0.2×	173 1.1×	212 1.7×	65	954
Eduardo Callegari	451 1.3×	54 0.2×	130 0.8×	130 0.8×	81 0.7×	52	1.0k
Syed Tahir Abbas Shah	238 0.7×	50 0.2×	135 0.9×	41 0.3×	53 0.4×	48	732
Yu Liu	171 0.5×	86 0.3×	39 0.3×	271 1.7×	53 0.4×	52	842
Baiping Mao	224 0.6×	242 0.9×	37 0.2×	129 0.8×	119 1.0×	37	739
Shouquan Zhang	397 1.1×	113 0.4×	41 0.3×	200 1.3×	265 2.2×	80	1.0k

Countries citing papers authored by Xiaolong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaolong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Wu

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