Baolan Ji
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Parathyroid Disorders and Treatments
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- Growth Hormone and Insulin-like Growth Factors
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Growth Hormone and Insulin-like Growth Factors 10
- Diabetes, Cardiovascular Risks, and Lipoproteins 4
- Diet, Metabolism, and Disease 2
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- Parathyroid Disorders and Treatments 2
- Co-authors
- Hua Qu (7 shared papers)Huacong Deng (7 shared papers)Huili Wei (7 shared papers)Hang Wang (5 shared papers)Bo Ban (18 shared papers)Mei Zhang (12 shared papers)Chuan Xiao Peng (2 shared papers)Xiaoqiu Xiao (2 shared papers)
In The Last Decade
Baolan Ji
24 papers receiving 346 citations
Peers
Comparison fields: 5 of 65
- Nephrology 44
- Endocrinology, Diabetes and Metabolism 60
- Pathology and Forensic Medicine 49
- Geriatrics and Gerontology 7
- Epidemiology 60
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 56 | |
| 2 | 2016 | 45 | |
| 3 | 2016 | 39 | |
| 4 | 2016 | 37 | |
| 5 | 2016 | 26 | |
| 6 | 2019 | 19 | |
| 7 | 2013 | 18 | |
| 8 | 2024 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2012 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2016 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2018 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2021 | 2 |
About Baolan Ji
Baolan Ji is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Cardiology and Cardiovascular Medicine, Epidemiology and Physiology, having authored 30 papers that have together received 348 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Liver Disease Diagnosis and Treatment (5 papers), Cardiovascular Function and Risk Factors (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipid metabolism and disorders (4 papers), Parathyroid Disorders and Treatments (2 papers), Adipose Tissue and Metabolism (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Nephrology (44 citations), Endocrinology, Diabetes and Metabolism (60 citations), Pathology and Forensic Medicine (49 citations), Geriatrics and Gerontology (7 citations) and Epidemiology (60 citations). Baolan Ji has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Hua Qu, Huacong Deng, Huili Wei, Hang Wang, Bo Ban, Mei Zhang, Chuan Xiao Peng, Xiaoqiu Xiao, Huimin Liang and Yao Ding. Their work appears in journals such as Diabetes Metabolic Syndrome and Obesity, BioMed Research International, Scientific Reports, Journal of Human Hypertension and Journal of Diabetes Investigation.
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.