Junling Fu

753 citations
44 papers · 551 indexed · h-index 15

Impact in

Papers in

Junling Fu

41 papers receiving 544 citations

Peers

Junling Fu
Comparison fields: 5 of 68
  • Physiology 200
  • Endocrinology, Diabetes and Metabolism 114
  • Endocrine and Autonomic Systems 46
  • Geriatrics and Gerontology 19
  • Experimental and Cognitive Psychology 48
Replace Jie Shi with:
Jie Shi China
Hassan Kahal United Kingdom
Roelof A. J. Smit Netherlands
Ana I. Castro Spain
Chris Ho Ching Yeung United States
Nikki C. Bush United States
Sudhaa Sharma India
Marcelo Miranda de Oliveira Lima Brazil
Paweł Kurjata Poland
Mohammad Hossein Gozashti Iran
Junling Fu relative to Jie Shi China Jie Shi's profile →
Citations per field
00.5×7.8×
Jie Shi · 1×
Citations per year

Countries citing papers authored by Junling Fu

Since Specialization
Citations

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

Fields of papers citing papers by Junling Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junling Fu, 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 Junling Fu Line = papers co-authored together Junling Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201844
2 201841
3 201740
4 201934
5 201731
6 201830
7 201629
8 201725
9 202324
10 202124
11 201823
12 201919
13 202016
14 202216
15 201915
16 201613
17 202113
18 201811
19 201911
20 202110

About Junling Fu

Junling Fu is a scholar working on Physiology, Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism and Genetics, having authored 44 papers that have together received 551 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (9 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Nutrition and Health in Aging (5 papers), Diabetes Management and Research (4 papers) and Lipid metabolism and disorders (4 papers). The work is most often cited by research in Physiology (200 citations), Endocrinology, Diabetes and Metabolism (114 citations), Endocrine and Autonomic Systems (46 citations), Geriatrics and Gerontology (19 citations) and Experimental and Cognitive Psychology (48 citations). Junling Fu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ming Li, Shan Gao, Xinhua Xiao, Lujiao Li, Ge Li, Mingyao Li, Lina Sun, Shuangling Xiu, Steven M. Willi and Dan Feng. Their work appears in journals such as Frontiers in Endocrinology, Cardiovascular Diabetology, Scientific Reports, Diabetes & Metabolism and Diabetes.

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.

Explore authors with similar magnitude of impact