Xiao‐Ou Shu

58.9k citations
522 papers · 18.4k indexed · h-index 71

Xiao‐Ou Shu

506 papers receiving 17.9k citations

Peers

Xiao‐Ou Shu
Comparison fields: 5 of 188
  • Cancer Research 2.6k
  • Oncology 4.6k
  • Public Health, Environmental and Occupational Health 4.2k
  • Pathology and Forensic Medicine 2.5k
  • Biochemistry 672
Replace Cristina Bosetti with:
Cristina Bosetti Italy
Jo L. Freudenheim United States
Manami Inoue Japan
Lynne R. Wilkens United States
Yu‐Tang Gao United States
Loı̈c Le Marchand United States
Susanna C. Larsson Sweden
Nobuyuki Hamajima Japan
Regina G. Ziegler United States
Michael F. Leitzmann United States
Xiao‐Ou Shu relative to Cristina Bosetti Italy Cristina Bosetti's profile →
Citations per field
00.5×1.5×
Cristina Bosetti · 1×
Citations per year

Countries citing papers authored by Xiao‐Ou Shu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Ou Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Ou Shu. 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 Xiao‐Ou Shu. The network helps show where Xiao‐Ou Shu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20235
3 202311
4 202019
5 201937
6 201942
7 201912
8 20198
9 201719
10 201692
11 201628
12 201435
13 20131
14 201215
15 201124
16 2010148
17 200715
18 200779
19
A population-based case-control study of the Arg399Gln polymorphism in DNA repair gene XRCC1 and risk of breast cancer.
200368
20
Risk factors for oral and pharyngeal cancer in Shanghai, with emphasis on diet.
199375

About Xiao‐Ou Shu

Xiao‐Ou Shu is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 522 papers that have together received 18.4k indexed citations. Recurring topics across this work include Cancer Risks and Factors (91 papers), Nutritional Studies and Diet (87 papers), Estrogen and related hormone effects (45 papers), Genetic Associations and Epidemiology (40 papers), Phytoestrogen effects and research (38 papers), BRCA gene mutations in cancer (32 papers), Obesity, Physical Activity, Diet (28 papers) and Cancer, Lipids, and Metabolism (27 papers). The work is most often cited by research in Cancer Research (2.6k citations), Oncology (4.6k citations) and Public Health, Environmental and Occupational Health (4.2k citations). Xiao‐Ou Shu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Wei Zheng, Yu‐Tang Gao, Qiuyin Cai, Gong Yang, Wanqing Wen, Yong‐Bing Xiang, Honglan Li, Hui Cai, Fan Jin and Jirong Long. Their work appears in journals such as The Lancet, Nature Communications and Nature Genetics.

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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