Xiaojuan Bai

702 total citations
48 papers, 529 citations indexed

About

Xiaojuan Bai is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Physiology. According to data from OpenAlex, Xiaojuan Bai has authored 48 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 8 papers in Nephrology and 8 papers in Physiology. Recurrent topics in Xiaojuan Bai's work include Cardiovascular Health and Disease Prevention (8 papers), Cardiovascular Function and Risk Factors (6 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Xiaojuan Bai is often cited by papers focused on Cardiovascular Health and Disease Prevention (8 papers), Cardiovascular Function and Risk Factors (6 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Xiaojuan Bai collaborates with scholars based in China, Canada and Japan. Xiaojuan Bai's co-authors include Xiangmei Chen, Haiyan Shan, Lulu Han, Xuefeng Sun, Xiangmei Chen, Weiguang Zhang, Nan Wang, Xuelian Li, Hongli Lin and Yuan Yuan and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Heart.

In The Last Decade

Xiaojuan Bai

44 papers receiving 523 citations

Peers

Xiaojuan Bai
Comparison fields: 5 of 84
  • Physiology 151
  • Molecular Biology 131
  • Cardiology and Cardiovascular Medicine 97
  • Immunology 71
  • Orthopedics and Sports Medicine 69
Replace Elettra Mancuso with:
Elettra Mancuso Italy
Asif Anwar United States
Takayoshi Sasako Japan
Jung A Kim South Korea
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Meike Hömme Germany
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Weili Tang China
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Citations per field, relative to Xiaojuan Bai
Xiaojuan Bai · 1×
Citations per year, relative to Xiaojuan Bai
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Countries citing papers authored by Xiaojuan Bai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojuan Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojuan Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojuan Bai. A scholar is included among the top collaborators of Xiaojuan Bai 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 Xiaojuan Bai. Xiaojuan Bai 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 0
2 1
3 1
4 2
5 22
6 15
7 21
8 4
9 30
10 14
11 12
12 8
13 23
14 8
15 6
16 32
17 41
18 1
19
[Quantitative assessment of healthy People's cardiovascular aging and analysis of the relevant law: study in three cities in Northern China].
1
20
[Progress on the study of mechanism and biomarkers of arterial and cardiac aging].
1

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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