Xiaohua Wu

3.9k total citations
117 papers, 2.3k citations indexed

About

Xiaohua Wu is a scholar working on Oncology, Reproductive Medicine and Parasitology. According to data from OpenAlex, Xiaohua Wu has authored 117 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 25 papers in Reproductive Medicine and 23 papers in Parasitology. Recurrent topics in Xiaohua Wu's work include Parasites and Host Interactions (23 papers), Ovarian cancer diagnosis and treatment (23 papers) and Endometrial and Cervical Cancer Treatments (17 papers). Xiaohua Wu is often cited by papers focused on Parasites and Host Interactions (23 papers), Ovarian cancer diagnosis and treatment (23 papers) and Endometrial and Cervical Cancer Treatments (17 papers). Xiaohua Wu collaborates with scholars based in China, United States and Canada. Xiaohua Wu's co-authors include Xiao‐Nong Zhou, Liying Wang, Jiang Zheng, Minggang Chen, Xianyi Chen, Qingwu Jiang, Xian-Hong Wang, Utzinger Jürg, Kun Yang and Jia-Gang Guo and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Xiaohua Wu

103 papers receiving 2.3k citations

Peers

Xiaohua Wu
Comparison fields: 5 of 131
  • Parasitology 1.1k
  • Ecology 635
  • Pediatrics, Perinatology and Child Health 588
  • Public Health, Environmental and Occupational Health 464
  • Materials Chemistry 316
Replace Tianping Wang with:
Tianping Wang China
Serdar Değer Germany
N.R. Bergquist Switzerland
Sabine Köhler United States
Л. М. Огородова Russia
James A. Thompson United States
Peter D. Walzer United States
Thierry Laurent Belgium
Seiki Kobayashi Japan
Ting Wu China
Tianping Wang China View profile →
Citations per field, relative to Xiaohua Wu
Xiaohua Wu · 1×
Citations per year, relative to Xiaohua Wu
Xiaohua Wu · 1×

Countries citing papers authored by Xiaohua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohua Wu. A scholar is included among the top collaborators of Xiaohua 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 Xiaohua Wu. Xiaohua 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 1
2 1
3 1
4 3
5 3
6 0
7 1
8 3
9 3
10 17
11 11
12 90
13 0
14 13
15 2
16 2
17 0
18 4
19 45
20 18

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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