Xiaojuan Wu

2.4k citations
104 papers · 1.8k · h-index 26

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer

Papers in

Xiaojuan Wu

101 papers receiving 1.8k citations

Peers

Xiaojuan Wu
Comparison fields: 5 of 146
  • Cancer Research 294
  • Molecular Biology 754
  • Oncology 283
  • Human-Computer Interaction 42
  • Physiology 33
Replace Xianwang Wang with:
Xianwang Wang China
Daisuke Yamamoto Japan
Chao Xu China
Yining Li China
Keiichi Abe Japan
Himanshu Arora United States
Minako Ito Japan
Xiaowen Feng China
Bing Zhao China
Xiaojuan Wu relative to Xianwang Wang China Xianwang Wang's profile →
Citations per field
00.5×2.6×
Xianwang Wang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Xiaojuan Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaojuan Wu Line = papers co-authored together Xiaojuan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201297
2 201781
3 201873
4 201661
5 201457
6 200557
7 201847
8
Evaluation of CCND1 amplification and CyclinD1 expression: diffuse and strong staining of CyclinD1 could have same predictive roles as CCND1 amplification in ER positive breast cancers.
201646
9 201943
10 201642
11 201142
12 201539
13 201735
14 201534
15 202334
16 201534
17 201333
18 201933
19 200932
20 202032

About Xiaojuan Wu

Xiaojuan Wu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Oncology, Cancer Research and Surgery, having authored 104 papers that have together received 1.8k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Human Pose and Action Recognition (9 papers), Gait Recognition and Analysis (8 papers), Drug Transport and Resistance Mechanisms (7 papers), Anomaly Detection Techniques and Applications (7 papers), MicroRNA in disease regulation (7 papers), RNA modifications and cancer (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Cancer Research (294 citations), Molecular Biology (754 citations), Oncology (283 citations), Human-Computer Interaction (42 citations) and Physiology (33 citations). Xiaojuan Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wenhui Dong, Peng Su, Gengyin Zhou, Xinlong Wang, Jingjing Cui, Xiaofang Zhang, Peng Gao, Shaogang Qu, Xingjun Meng and Weiwei Li. Their work appears in journals such as Oncotarget, Journal of Molecular and Cellular Cardiology, APOPTOSIS, ACS Chemical Neuroscience and Diagnostic Pathology.

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.

Explore authors with similar magnitude of impact