Jiang-Feng Ke

451 citations
23 papers · 292 · h-index 11

Impact in

Papers in

Jiang-Feng Ke

23 papers receiving 289 citations

Peers

Jiang-Feng Ke
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 82
  • Obstetrics and Gynecology 38
  • Cardiology and Cardiovascular Medicine 57
  • Complementary and Manual Therapy 5
  • 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-authors

The 25 scholars most cited alongside Jiang-Feng Ke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jiang-Feng Ke Line = papers co-authored together Jiang-Feng Ke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202150
2 202147
3 202318
4 202017
5 202217
6 202215
7 202115
8 202214
9 202111
10 202210
11 202110
12 20239
13 20199
14 20228
15 20218
16 20198
17 20217
18 20226
19 20234
20 20223

About Jiang-Feng Ke

Jiang-Feng Ke is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine 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), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Alcohol Consumption and Health Effects (5 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Diet, Metabolism, and Disease (2 papers), Thyroid Disorders and Treatments (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Bariatric Surgery and Outcomes (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (82 citations), Obstetrics and Gynecology (38 citations), Cardiology and Cardiovascular Medicine (57 citations), Complementary and Manual Therapy (5 citations) and Pediatrics, Perinatology and Child Health (42 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, Meifang Li, Mingyun Chen, Lan Wang, Youming Chen and Li Ma. Their work appears in journals such as Frontiers in Endocrinology, Diabetology & Metabolic Syndrome, Diabetes Metabolic Syndrome and Obesity, Frontiers in Cardiovascular Medicine and Diabetes & 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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