Bai Xiao-juan

1.0k total citations
2 papers, 16 citations indexed

About

Bai Xiao-juan is a scholar working on Epidemiology, Complementary and alternative medicine and Physiology. According to data from OpenAlex, Bai Xiao-juan has authored 2 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Epidemiology, 1 paper in Complementary and alternative medicine and 1 paper in Physiology. Recurrent topics in Bai Xiao-juan's work include Telomeres, Telomerase, and Senescence (1 paper), Traditional Chinese Medicine Studies (1 paper) and Traditional Chinese Medicine Analysis (1 paper). Bai Xiao-juan is often cited by papers focused on Telomeres, Telomerase, and Senescence (1 paper), Traditional Chinese Medicine Studies (1 paper) and Traditional Chinese Medicine Analysis (1 paper). Bai Xiao-juan collaborates with scholars based in China. Bai Xiao-juan's co-authors include Weiguang Zhang, Guangyan Cai, Xuefeng Sun, Xiangmei Chen, Kai Hou, Shuying Zhu, Yanping Wang, Yong Wang, Linpei Jia and Jie Ma and has published in prestigious journals such as Molecular Medicine Reports.

In The Last Decade

Bai Xiao-juan

2 papers receiving 16 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bai Xiao-juan China	2	12	6	5	5	3	2	16
Jonathan Lewis United States	2	5 0.4×	4 0.7×	11 2.2×	2 0.4×	1 0.3×	5	17
Julia Hanchard Canada	3	6 0.5×	2 0.3×	5 1.0×			3	20
Nandini Badarinarayan United Kingdom	2	4 0.3×	5 0.8×	5 1.0×	1 0.2×	1 0.3×	2	11
Christian T. Voldstedlund Denmark	3	7 0.6×	2 0.3×	4 0.8×			4	14
Claire Cowen Crouch United Kingdom	2	6 0.5×		2 0.4×	5 1.0×		5	20
Ioana Maris Ireland	2	9 0.8×		4 0.8×			5	54
Paolo Amedeo Tillio Italy	3	9 0.8×		4 0.8×			3	17
Jonathan Rodgers Australia	3	4 0.3×		6 1.2×	3 0.6×		5	14
Mouna Chajadine France	2	7 0.6×		6 1.2×	1 0.2×		2	14
Melissa A. Quinn United States	2	4 0.3×		3 0.6×	3 0.6×		3	6

Countries citing papers authored by Bai Xiao-juan

Since Specialization

Citations

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

Fields of papers citing papers by Bai Xiao-juan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bai Xiao-juan

This figure shows the co-authorship network connecting the top 25 collaborators of Bai Xiao-juan. A scholar is included among the top collaborators of Bai Xiao-juan 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 Bai Xiao-juan. Bai Xiao-juan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Zhang, Weiguang, Yong Wang, Kai Hou, et al.. (2015). A correlation study of telomere length in peripheral blood leukocytes and kidney function with age. Molecular Medicine Reports. 11(6). 4359–4364. 15 indexed citations

2.

Xiao-juan, Bai. (2002). To Evaluate the Therapeutic Efficacy of GuanFu base A in Ventricular Arrhythmia by Holter ECGand HRV. 1 indexed citations

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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