Xiaohua Wu

5.4k citations
182 papers · 3.8k · h-index 34

Impact in

Papers in

Xiaohua Wu

174 papers receiving 3.8k citations

Peers

Xiaohua Wu
Comparison fields: 5 of 142
  • Obstetrics and Gynecology 620
  • Reproductive Medicine 550
  • Cancer Research 786
  • Oncology 794
  • Parasitology 184
Replace Thomas M. Zollner with:
Thomas M. Zollner Germany
Douglas D. Taylor United States
Hisanori Uehara Japan
Kenneth R. Shroyer United States
Toshiharu Kamura Japan
Shengtao Zhou China
Çiçek Gerçel-Taylor United States
José Manuel Lopes Portugal
Hiroaki Kobayashi Japan
Subodh M. Lele United States
Xiaohua Wu relative to Thomas M. Zollner Germany Thomas M. Zollner's profile →
Citations per field
00.5×11.5×
Thomas M. Zollner · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Xiaohua 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 Xiaohua Wu Line = papers co-authored together Xiaohua Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005180
2
Schistosomiasis control in China: the impact of a 10-year World Bank Loan Project (1992-2001).
2005150
3 2006136
4 2019105
5 2019105
6 201895
7 201090
8 201184
9 202376
10 201173
11 201372
12 201369
13 201868
14 201165
15 201362
16
Cisplatin suppresses the growth and proliferation of breast and cervical cancer cell lines by inhibiting integrin β5-mediated glycolysis.
201658
17 200357
18 201556
19 201552
20 202150

About Xiaohua Wu

Xiaohua Wu is a scholar working on Molecular Biology, Obstetrics and Gynecology, Oncology, Reproductive Medicine and Cancer Research, having authored 182 papers that have together received 3.8k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (31 papers), Ovarian cancer diagnosis and treatment (22 papers), Cancer-related molecular mechanisms research (9 papers), Parasites and Host Interactions (9 papers), MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (7 papers), Cervical Cancer and HPV Research (6 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Obstetrics and Gynecology (620 citations), Reproductive Medicine (550 citations), Cancer Research (786 citations), Oncology (794 citations) and Parasitology (184 citations). Xiaohua Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hao Wen, Xingzhu Ju, Zheng Feng, Jin Li, Jun Zhu, Xiaojun Chen, Wentao Yang, Yong Wu, Wei Zhang and Rui Bi. Their work appears in journals such as Gynecologic Oncology, BMC Cancer, Journal of Gynecologic Oncology, Frontiers in Oncology and International Journal of Gynecological Cancer.

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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