Bang‐Dang Chen

2.5k citations
151 papers · 1.9k indexed · h-index 25
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers)Lipoproteins and Cardiovascular Health (20 papers)Hormonal Regulation and Hypertension (11 papers)
Partner nations
ChinaAustraliaSweden

In The Last Decade

Bang‐Dang Chen

148 papers receiving 1.9k citations

Peers

Bang‐Dang Chen
Comparison fields: 5 of 116
  • Cardiology and Cardiovascular Medicine 603
  • Molecular Biology 579
  • Surgery 480
  • Endocrinology, Diabetes and Metabolism 386
  • Epidemiology 275
Replace Junichi Matsubara with:
Junichi Matsubara Japan
Ahmed Hasan United States
Takashi Kuwano Japan
Maarten E. Tushuizen Netherlands
Giovanni Cimmino Italy
Óscar Beloqui Spain
Rozenn Quarck Belgium
Ming‐Lin Liu United States
Koji Oida Japan
Chen Liu China
Bang‐Dang Chen relative to Junichi Matsubara Japan Junichi Matsubara's profile →
Citations per field
00.5×1.5×
Junichi Matsubara · 1×
Citations per year

Countries citing papers authored by Bang‐Dang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bang‐Dang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bang‐Dang Chen. 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 Bang‐Dang Chen. The network helps show where Bang‐Dang Chen may publish in the future.

Co-authorship network of co-authors of Bang‐Dang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Bang‐Dang Chen. A scholar is included among the top collaborators of Bang‐Dang Chen 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 Bang‐Dang Chen. Bang‐Dang Chen 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 2
2 1
3 8
4 26
5 15
6 17
7 17
8 7
9 0
10 1
11 15
12 36
13 1
14
[Association between intercellular adhesion molecule-1 K469E polymorphism and coronary heart disease in people with Uygur ethnicity, in Xinjiang].
1
15 10
16
[Prevalence and associated factors of diabetes mellitus in children of Han, Uigurs and Kazaks ethnicities in Xinjiang].
4
17 18
18 15
19 1
20 10

About Bang‐Dang Chen

Bang‐Dang Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 151 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers), Lipoproteins and Cardiovascular Health (20 papers) and Hormonal Regulation and Hypertension (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (603 citations), Endocrinology, Diabetes and Metabolism (386 citations) and Cancer Research (261 citations). Bang‐Dang Chen has collaborated with scholars based in China, Australia and Sweden. Frequent co-authors include Yi‐Ning Yang, Xiao‐Mei Li, Xiang Xie, Zhen-Yan Fu, Fen Liu, Xiang Ma, Yi-Tong Ma, Fen Liu, Yi‐Tong Ma and Ying Huang. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

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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