Baolan Ji
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Growth Hormone and Insulin-like Growth Factors 10
- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Diet, Metabolism, and Disease 4
- Thyroid Disorders and Treatments 2
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- Lipid metabolism and disorders 10
- Cardiovascular Function and Risk Factors 4
- Co-authors
- Hua Qu (7 shared papers)Huili Wei (7 shared papers)Huacong Deng (7 shared papers)Hang Wang (5 shared papers)Bo Ban (17 shared papers)Mei Zhang (12 shared papers)Xiaoqiu Xiao (2 shared papers)Chuan Peng (2 shared papers)
In The Last Decade
Baolan Ji
24 papers receiving 309 citations
Peers
Comparison fields: 5 of 67
- Nephrology 42
- Endocrinology, Diabetes and Metabolism 84
- Pathology and Forensic Medicine 56
- Cardiology and Cardiovascular Medicine 59
- Epidemiology 74
Countries citing papers authored by Baolan Ji
This map shows the geographic impact of Baolan Ji'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 Baolan Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baolan Ji more than expected).
Fields of papers citing papers by Baolan Ji
This network shows the impact of papers produced by Baolan Ji. 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 Baolan Ji. The network helps show where Baolan Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Baolan Ji, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 54 | |
| 2 | 2016 | 40 | |
| 3 | 2016 | 37 | |
| 4 | 2016 | 35 | |
| 5 | 2016 | 18 | |
| 6 | 2019 | 18 | |
| 7 | 2013 | 15 | |
| 8 | 2020 | 13 | |
| 9 | 2018 | 10 | |
| 10 | 2012 | 10 | |
| 11 | 2016 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2019 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2020 | 1 |
About Baolan Ji
Baolan Ji is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Epidemiology, Nephrology and Physiology, having authored 27 papers that have together received 310 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (10 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Diet, Metabolism, and Disease (4 papers), Cardiovascular Function and Risk Factors (4 papers), Thyroid Disorders and Treatments (2 papers) and Parathyroid Disorders and Treatments (2 papers). The work is most often cited by research in Nephrology (42 citations), Endocrinology, Diabetes and Metabolism (84 citations), Pathology and Forensic Medicine (56 citations), Cardiology and Cardiovascular Medicine (59 citations) and Epidemiology (74 citations). Baolan Ji has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Hua Qu, Huili Wei, Huacong Deng, Hang Wang, Bo Ban, Mei Zhang, Xiaoqiu Xiao, Chuan Peng, Yao Ding and Huimin Liang. Their work appears in journals such as BioMed Research International, Diabetes Metabolic Syndrome and Obesity, Scientific Reports, Molecular Nutrition & Food Research and Lipids in Health and Disease.
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.