Xiaoou Zhou

855 citations
21 papers · 679 indexed · h-index 12
Topics
CAR-T cell therapy research (9 papers)Virus-based gene therapy research (7 papers)CRISPR and Genetic Engineering (4 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Xiaoou Zhou

20 papers receiving 671 citations

Peers

Xiaoou Zhou
Comparison fields: 5 of 61
  • Oncology 354
  • Molecular Biology 346
  • Genetics 190
  • Immunology 140
  • Biomedical Engineering 109
Replace Guangjun Jing with:
Guangjun Jing China
Alexandra C. Chadwick United States
Anna Brandt Germany
Geming Lu United States
Hyeon-Beom Seo South Korea
Natalie M. Edner United Kingdom
Charity L. Washam United States
C. Alander United States
Rong‐Hua Yin China
Yinhong Song China
Xiaoou Zhou relative to Guangjun Jing China Guangjun Jing's profile →
Citations per field
00.5×2.6×
Guangjun Jing · 1×
Citations per year

Countries citing papers authored by Xiaoou Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoou Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoou Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoou Zhou. A scholar is included among the top collaborators of Xiaoou Zhou 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 Xiaoou Zhou. Xiaoou Zhou 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
#WorkIndexed citations
1 7
2 1
3 45
4 31
5 21
6 11
7 34
8 169
9 139
10 11
11 3
12 93
13 6
14 48
15 15
16
[Correlation study on serum adiponectin abnormity with adiponectin gene polymorphisms in hypertensive patients of phlegm-dampness constitution].
2
17 31
18 4
19
[Effect of dihydroartemisinin on the ultrastructure of Trichomonas vaginalis trophozoites in vitro].
5
20 3

About Xiaoou Zhou

Xiaoou Zhou is a scholar working on Oncology, Genetics and Immunology, having authored 21 papers that have together received 679 indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Virus-based gene therapy research (7 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Oncology (354 citations), Genetics (190 citations) and Hematology (75 citations). Xiaoou Zhou has collaborated with scholars based in China, United States and France. Frequent co-authors include Malcolm K. Brenner, Antonio Di Stasi, Gianpietro Dotti, Helen E. Heslop, Juliette Hadchouel, Xavier Jeunemaı̂tre, Hao Liu, Cliona M. Rooney, Barbara Savoldo and Yu‐Feng Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Hypertension.

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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