Xiaofei Liu

854 total citations
27 papers, 559 citations indexed

About

Xiaofei Liu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Xiaofei Liu has authored 27 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 6 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Epidemiology. Recurrent topics in Xiaofei Liu's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Machine Learning in Healthcare (3 papers) and Diabetes Management and Education (2 papers). Xiaofei Liu is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Machine Learning in Healthcare (3 papers) and Diabetes Management and Education (2 papers). Xiaofei Liu collaborates with scholars based in China, Australia and Romania. Xiaofei Liu's co-authors include Pei Gao, Hongbo Lin, Xun Tang, Peng Shen, Yongliang Zhao, Pei-wu Yu, Quanming Zou, Ping Lu, Yun Shi and Jingyi Zhang and has published in prestigious journals such as Environment International, Journal of Non-Crystalline Solids and Clinica Chimica Acta.

In The Last Decade

Xiaofei Liu

23 papers receiving 552 citations

Peers

Xiaofei Liu
Comparison fields: 5 of 102
  • Immunology 176
  • Epidemiology 119
  • Oncology 102
  • Cardiology and Cardiovascular Medicine 84
  • Molecular Biology 82
Replace Ajay P. Sharma with:
Ajay P. Sharma Canada
Yahya Mahamat‐Saleh France
Nuray Bozkurt Türkiye
Luying Zhang China
Yang-Hao Yu Taiwan
Kathrin Kahnert Germany
Carmen Díaz‐Corte Spain
Xuezhong Shi China
Reinhard Meister Germany
Yanming Wu China
Ajay P. Sharma Canada View profile →
Citations per field, relative to Xiaofei Liu
Xiaofei Liu · 1×
Citations per year, relative to Xiaofei Liu
Xiaofei Liu · 1×

Countries citing papers authored by Xiaofei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofei Liu. A scholar is included among the top collaborators of Xiaofei Liu 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 Xiaofei Liu. Xiaofei Liu 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 0
3 0
4 7
5 4
6 0
7 1
8 8
9 0
10 13
11 9
12 50
13 12
14 7
15 7
16 3
17 112
18 40
19 86
20 99

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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