Jiang-Feng Ke

451 citations
23 papers · 292 indexed · h-index 11
Topics
Liver Disease Diagnosis and Treatment (7 papers)Alcohol Consumption and Health Effects (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)
Partner nations
China

In The Last Decade

Jiang-Feng Ke

23 papers receiving 289 citations

Peers

Jiang-Feng Ke
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 82
  • Molecular Biology 77
  • Epidemiology 70
  • Cardiology and Cardiovascular Medicine 57
  • Pediatrics, Perinatology and Child Health 42
Replace Miyase Bayraktar with:
Miyase Bayraktar Türkiye
Muammer Karadeniz Türkiye
Shao-Gang Ma China
Kunihisa Yamaguchi Japan
Sevim Dinçer Cengiz Türkiye
Kang‐Chih Fan Taiwan
Macarena Alpañés Spain
Ayla Harmancı Türkiye
Evrim Çakır Türkiye
Kyle H. Moore United States
Jiang-Feng Ke relative to Miyase Bayraktar Türkiye Miyase Bayraktar's profile →
Citations per field
00.5×10×15×17.5×
Miyase Bayraktar · 1×
Citations per year

Countries citing papers authored by Jiang-Feng Ke

Since Specialization
Citations

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

Fields of papers citing papers by Jiang-Feng Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiang-Feng Ke. 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 Jiang-Feng Ke. The network helps show where Jiang-Feng Ke may publish in the future.

Co-authorship network of co-authors of Jiang-Feng Ke

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang-Feng Ke. A scholar is included among the top collaborators of Jiang-Feng Ke 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 Jiang-Feng Ke. Jiang-Feng Ke 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 9
2 4
3 2
4 18
5 10
6 14
7 3
8 3
9 15
10 6
11 17
12 8
13 7
14 11
15 10
16 47
17 50
18 8
19 17
20 9

About Jiang-Feng Ke

Jiang-Feng Ke is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Pathology and Forensic Medicine, having authored 23 papers that have together received 292 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Alcohol Consumption and Health Effects (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (82 citations), Obstetrics and Gynecology (38 citations) and Cardiology and Cardiovascular Medicine (57 citations). Jiang-Feng Ke has collaborated with scholars based in China. Frequent co-authors include Lianxi Li, Junwei Wang, Junxi Lu, Zhihui Zhang, Yun Liu, Mingyun Chen, Meifang Li, Shixing Huang, Youming Chen and Li Ma. Their work appears in journals such as Atherosclerosis, Redox Biology and Frontiers in Endocrinology.

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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