Xiaoyan Wu

5.0k total citations · 1 hit paper
31 papers, 3.3k citations indexed

About

Xiaoyan Wu is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Xiaoyan Wu has authored 31 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 8 papers in Molecular Biology and 7 papers in Infectious Diseases. Recurrent topics in Xiaoyan Wu's work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Influenza Virus Research Studies (4 papers) and COVID-19 Clinical Research Studies (4 papers). Xiaoyan Wu is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (7 papers), Influenza Virus Research Studies (4 papers) and COVID-19 Clinical Research Studies (4 papers). Xiaoyan Wu collaborates with scholars based in China, United States and Australia. Xiaoyan Wu's co-authors include Zhibing Lu, Tao He, Hairong Wang, Tao Guo, Yongzhen Fan, Ming Chen, Lin Zhang, Jing Wan, Xinghuan Wang and Dongqing Zha and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Xiaoyan Wu

31 papers receiving 3.2k citations

Hit Papers

Cardiovascular Implications of Fatal Outcomes of Patients... 2020 2026 2022 2024 2020 500 1000 1.5k 2.0k 2.5k

Peers

Xiaoyan Wu
Comparison fields: 5 of 121
  • Infectious Diseases 2.3k
  • Neurology 1.4k
  • Cardiology and Cardiovascular Medicine 776
  • Oncology 618
  • Epidemiology 449
Replace Yuli Cai with:
Yuli Cai China
Jing Wan China
Yongzhen Fan China
Mu Qin China
Ian Huang Indonesia
Ying‐Ying Zheng China
Qiurong Ruan China
Gabriel Sayer United States
Yuli Cai China View profile →
Citations per field, relative to Xiaoyan Wu
Xiaoyan Wu · 1×
Citations per year, relative to Xiaoyan Wu
Xiaoyan Wu · 1×

Countries citing papers authored by Xiaoyan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Wu. A scholar is included among the top collaborators of Xiaoyan 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 Xiaoyan Wu. Xiaoyan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 1
3 1
4 4
5 1
6 8
7 6
8 26
9 6
10 25
11 10
12 57
13 1
14 19
15 82
16 20
17 5
18 11
19 3
20 60

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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