Xiaoyong Sai

409 citations
16 papers · 291 indexed · h-index 7

Xiaoyong Sai

16 papers receiving 280 citations

Peers

Xiaoyong Sai
Comparison fields: 5 of 80
  • Research and Theory 4
  • Internal Medicine 12
  • Health, Toxicology and Mutagenesis 41
  • Physiology 67
  • General Health Professions 51
Replace Susana Rodríguez‐Domínguez with:
Susana Rodríguez‐Domínguez Spain
Mohammad‐Mahdi Rashidi Iran
Rosa de Groot Netherlands
G. Dekker Australia
K Asplund United States
Khendi White Solaru United States
P McCarron United Kingdom
Miguel Ángel Sánchez-Chaparro Spain
Katherine Dodd United Kingdom
Sandra Serrano Martínez Spain
Xiaoyong Sai relative to Susana Rodríguez‐Domínguez Spain Susana Rodríguez‐Domínguez's profile →
Citations per field
00.5×1.5×2.4×
Susana Rodríguez‐Domínguez · 1×
Citations per year

Countries citing papers authored by Xiaoyong Sai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyong Sai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20241
2 20232
3 20213
4 202037
5 202050
6 20206
7 20205
8 201514
9 20135
10 201325
11
[Application of intraoperative magnetic resonance imaging and multimodal navigation in surgical resection of glioblastoma].
20132
12
[A cross-sectional survey of crab intolerance positive rate and its determinants in healthy medical examination population in Beijing].
20121
13 20112
14 200925
15 2008110
16
[An 18-year follow-up study on the risk factors of deaths regarding chronic obstructive pulmonary disease in Xi'an, China].
20063

About Xiaoyong Sai

Xiaoyong Sai is a scholar working on Leadership and Management, Health Information Management and Radiological and Ultrasound Technology, having authored 16 papers that have together received 291 indexed citations. Recurring topics across this work include Workplace Health and Well-being (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cardiovascular Health and Risk Factors (2 papers), School Health and Nursing Education (1 paper), MRI in cancer diagnosis (1 paper), Renal cell carcinoma treatment (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Research and Theory (4 citations), Internal Medicine (12 citations) and Health, Toxicology and Mutagenesis (41 citations). Xiaoyong Sai has collaborated with scholars based in China, Hong Kong and Philippines. Frequent co-authors include Yao He, Bin Jiang, TH Lam, Frank B. Hu, Jie Wang, Xiaoying Li, Fan Li, Qingqing Su, Lynn Htet Htet Aung and Ran Miao. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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