Jiang-Feng Ke

472 citations
24 papers · 316 · h-index 11

Impact in

Papers in

Jiang-Feng Ke

23 papers receiving 312 citations

Peers

Jiang-Feng Ke
Comparison fields: 5 of 65
  • Obstetrics and Gynecology 33
  • Endocrinology, Diabetes and Metabolism 48
  • Nephrology 14
  • Epidemiology 48
  • Biochemistry 9
Replace Athina Trakaki with:
Athina Trakaki Austria
Shao-Gang Ma China
L. Redaelli Italy
Alexander S. Christensen Denmark
Hannes Manell Sweden
Ki-ichi Okumura Japan
Karen L. Onions United Kingdom
Lamia Amoura France
Ya Jin China
Yingying Wei China
Jiang-Feng Ke relative to Athina Trakaki Austria Athina Trakaki's profile →
Citations per field
00.5×3.7×
Athina Trakaki · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202153
2 202147
3 202321
4 202219
5 202017
6 202216
7 202116
8 202214
9 202113
10 202313
11 202211
12 202110
13 201910
14 20229
15 20218
16 20198
17 20218
18 20228
19 20235
20 20224

About Jiang-Feng Ke

Jiang-Feng Ke is a scholar working on Molecular Biology, Nephrology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 316 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (3 papers), Gestational Diabetes Research and Management (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Alcohol Consumption and Health Effects (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Thyroid Disorders and Treatments (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Traditional and Medicinal Uses of Annonaceae (1 paper). The work is most often cited by research in Obstetrics and Gynecology (33 citations), Endocrinology, Diabetes and Metabolism (48 citations), Nephrology (14 citations), Epidemiology (48 citations) and Biochemistry (9 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, Meifang Li and Youming Chen. Their work appears in journals such as Diabetology & Metabolic Syndrome, Frontiers in Endocrinology, Diabetes Metabolic Syndrome and Obesity, BMC Pregnancy and Childbirth and Diabetes & Metabolism Journal.

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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