Xiaojuan Wu

30 total papers · 690 total citations
17 papers, 586 citations indexed

About

Xiaojuan Wu is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Xiaojuan Wu has authored 17 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Xiaojuan Wu's work include Peptidase Inhibition and Analysis (2 papers), Electrochemical Analysis and Applications (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). Xiaojuan Wu is often cited by papers focused on Peptidase Inhibition and Analysis (2 papers), Electrochemical Analysis and Applications (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). Xiaojuan Wu collaborates with scholars based in China, Australia and United States. Xiaojuan Wu's co-authors include Houyi Ma, Shenhao Chen, Zhiyuan Xu, Ai-Fen Sui, Charis Eng, Bin Jalaludin, Christopher J. Henderson, Eva Segelov, Carl Morrison and Glenn P. Lobo and has published in prestigious journals such as Journal of The Electrochemical Society, Oncogene and International Journal of Molecular Sciences.

In The Last Decade

Xiaojuan Wu

16 papers receiving 572 citations

Author Peers

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

Author						Papers	Cites
Xiaojuan Wu	225	138	138	116	93	17	586
Yi Huang	119 0.5×	143 1.0×	138 1.0×	28 0.2×	8 0.1×	46	605
H. Seki	74 0.3×	78 0.6×	24 0.2×	71 0.6×	19 0.2×	36	539
Muhammad Imran ul‐haq	102 0.5×	147 1.1×	13 0.1×	27 0.2×	17 0.2×	16	511
Yufen Zhang	206 0.9×	74 0.5×	185 1.3×	87 0.8×	5 0.1×	42	663
Husheng Zhang	140 0.6×	134 1.0×	66 0.5×	16 0.1×	6 0.1×	23	696
Yanbin Sun	124 0.6×	278 2.0×	71 0.5×	23 0.2×	8 0.1×	40	632
Hongjun Shi	67 0.3×	235 1.7×	77 0.6×	22 0.2×		30	589
Zhihui Li	141 0.6×	243 1.8×	97 0.7×	3 0.0×	15 0.2×	38	671
Suyang Li	116 0.5×	103 0.7×	71 0.5×	45 0.4×	1 0.0×	45	626
Weiren Liu	152 0.7×	160 1.2×	140 1.0×	27 0.2×		28	657

Countries citing papers authored by Xiaojuan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaojuan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojuan Wu

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