Junling Fu
Impact in
-
- Nutrition and Health in Aging
- Adipose Tissue and Metabolism
Papers in
- Surgery 9
- Pancreatic function and diabetes 9
-
- Nutrition and Health in Aging 5
- Adipose Tissue and Metabolism 3
- Co-authors
- Shan Gao (16 shared papers)Ming Li (18 shared papers)Xinhua Xiao (12 shared papers)Lujiao Li (12 shared papers)Ge Li (7 shared papers)Shuangling Xiu (9 shared papers)Lina Sun (8 shared papers)Mingyao Li (8 shared papers)
- Journals
- Frontiers in Endocrinology (4 papers)Cardiovascular Diabetology (2 papers)Oncotarget (1 paper)Nutrition (1 paper)Diabetes & Metabolism (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Junling Fu
43 papers receiving 570 citations
Peers
Comparison fields: 5 of 64
- Physiology 143
- Endocrinology, Diabetes and Metabolism 72
- Endocrine and Autonomic Systems 27
- Experimental and Cognitive Psychology 52
- Epidemiology 93
Countries citing papers authored by Junling Fu
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
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.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 48 | |
| 2 | 2018 | 41 | |
| 3 | 2017 | 40 | |
| 4 | 2019 | 35 | |
| 5 | 2018 | 31 | |
| 6 | 2017 | 31 | |
| 7 | 2016 | 29 | |
| 8 | 2017 | 26 | |
| 9 | 2023 | 24 | |
| 10 | 2021 | 24 | |
| 11 | 2018 | 23 | |
| 12 | 2019 | 19 | |
| 13 | 2022 | 18 | |
| 14 | 2020 | 16 | |
| 15 | 2019 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2016 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2021 | 10 |
About Junling Fu
Junling Fu is a scholar working on Surgery, Physiology, Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 45 papers that have together received 576 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Nutrition and Health in Aging (5 papers), Diabetes and associated disorders (3 papers), Fibroblast Growth Factor Research (3 papers), Adipose Tissue and Metabolism (3 papers), Sleep and related disorders (3 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Physiology (143 citations), Endocrinology, Diabetes and Metabolism (72 citations), Endocrine and Autonomic Systems (27 citations), Experimental and Cognitive Psychology (52 citations) and Epidemiology (93 citations). Junling Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shan Gao, Ming Li, Xinhua Xiao, Lujiao Li, Ge Li, Shuangling Xiu, Lina Sun, Mingyao Li, Steven M. Willi and Dan Feng. Their work appears in journals such as Frontiers in Endocrinology, Cardiovascular Diabetology, Oncotarget, Nutrition 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.