Yuqian Bao

17.6k citations
424 papers · 10.7k indexed · 1 hit paper · h-index 51
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (71 papers)Diabetes Management and Research (62 papers)Metabolism, Diabetes, and Cancer (55 papers)
Partner nations
ChinaUnited StatesIndia

In The Last Decade

Yuqian Bao

412 papers receiving 10.5k citations

Hit Papers

Association of Time in Range, as Assessed by Continuous G...20182026202020232018100200300

Peers

Yuqian Bao
Comparison fields: 5 of 160
  • Molecular Biology 3.9k
  • Endocrinology, Diabetes and Metabolism 3.6k
  • Epidemiology 2.2k
  • Physiology 2.0k
  • Surgery 1.8k
Replace Mohammed Saad with:
Mohammed Saad United States
Hak Chul Jang South Korea
Lee‐Ming Chuang Taiwan
Jacqueline C.M. Witteman Netherlands
Weiqing Wang China
Nan Hee Kim South Korea
Casper G. Schalkwijk Netherlands
Michiaki Fukui Japan
Wayne Huey‐Herng Sheu Taiwan
Francesco Giorgino Italy
Yuqian Bao relative to Mohammed Saad United States Mohammed Saad's profile →
Citations per field
00.5×5.7×
Mohammed Saad · 1×
Citations per year

Countries citing papers authored by Yuqian Bao

Since Specialization
Citations

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

Fields of papers citing papers by Yuqian Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuqian Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuqian Bao. A scholar is included among the top collaborators of Yuqian Bao 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 Yuqian Bao. Yuqian Bao 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
#WorkIndexed citations
1 0
2 2
3 9
4 4
5 2
6 5
7 4
8 1
9 0
10 1
11 12
12 18
13 1
14 5
15 2
16 26
17 7
18 40
19
[Study on prevalence and risk factors of fatty liver of patients with type 2 diabetes].
10
20
[Association between C-reactive protein level and metabolic syndrome and components thereof].
7

About Yuqian Bao

Yuqian Bao is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Cardiology and Cardiovascular Medicine, having authored 424 papers that have together received 10.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (71 papers), Diabetes Management and Research (62 papers) and Metabolism, Diabetes, and Cancer (55 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.6k citations), Nephrology (842 citations) and Physiology (2.0k citations). Yuqian Bao has collaborated with scholars based in China, United States and India. Frequent co-authors include Weiping Jia, Xiaojing Ma, Jian Zhou, Cheng Hu, Junxi Lu, Kun‐san Xiang, Xuhong Hou, Huating Li, Yun Shen and Haoyong Yu. Their work appears in journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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