Junxi Lu
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
- Nephrology top 2%
Papers in ⓘ
- Nephrology 19
- Chronic Kidney Disease and Diabetes 10
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- Diabetes, Cardiovascular Risks, and Lipoproteins 15
- Co-authors
- Weiping Jia (80 shared papers)Yuqian Bao (46 shared papers)Kun‐san Xiang (30 shared papers)Huijuan Lu (17 shared papers)Haibing Chen (23 shared papers)Haoyong Yu (18 shared papers)Fang Liu (7 shared papers)Kaifeng Guo (14 shared papers)
In The Last Decade
Junxi Lu
112 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Endocrinology, Diabetes and Metabolism 905
- Nephrology 289
- Rehabilitation 197
- Cardiology and Cardiovascular Medicine 534
- Epidemiology 795
Countries citing papers authored by Junxi Lu
This map shows the geographic impact of Junxi Lu'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 Junxi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxi Lu more than expected).
Fields of papers citing papers by Junxi Lu
This network shows the impact of papers produced by Junxi Lu. 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 Junxi Lu. The network helps show where Junxi Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junxi Lu, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exosomes derived from atorvastatin-pretreated MSC accelerate diabetic wound repair by enhancing angiogenesis via AKT/eNOS pathway Hit paper breakdown → | 2020 | 298 |
| 2 | 2008 | 177 | |
| 3 | 2006 | 166 | |
| 4 | 2021 | 154 | |
| 5 | 2011 | 136 | |
| 6 | 2007 | 119 | |
| 7 | 2009 | 96 | |
| 8 | 2015 | 85 | |
| 9 | 2020 | 84 | |
| 10 | Prediction of abdominal visceral obesity from body mass index, waist circumference and waist-hip ratio in Chinese adults: receiver operating characteristic curves analysis. | 2003 | 83 |
| 11 | 2021 | 71 | |
| 12 | 2016 | 71 | |
| 13 | 2007 | 63 | |
| 14 | 2015 | 62 | |
| 15 | 2020 | 59 | |
| 16 | 2016 | 58 | |
| 17 | 2008 | 52 | |
| 18 | 2014 | 50 | |
| 19 | 2021 | 47 | |
| 20 | 2020 | 46 |
About Junxi Lu
Junxi Lu is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Ophthalmology and Epidemiology, having authored 112 papers that have together received 3.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Metabolism, Diabetes, and Cancer (10 papers), Chronic Kidney Disease and Diabetes (10 papers), Adipose Tissue and Metabolism (10 papers), Cardiovascular Health and Disease Prevention (9 papers), Retinal Diseases and Treatments (9 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (905 citations), Nephrology (289 citations), Rehabilitation (197 citations), Cardiology and Cardiovascular Medicine (534 citations) and Epidemiology (795 citations). Junxi Lu has collaborated with scholars based in China, India and Hong Kong. Frequent co-authors include Weiping Jia, Yuqian Bao, Kun‐san Xiang, Huijuan Lu, Haibing Chen, Haoyong Yu, Fang Liu, Kaifeng Guo, Muyu Yu and Lianxi Li. Their work appears in journals such as Diabetology & Metabolic Syndrome, PLoS ONE, Scientific Reports, Atherosclerosis and Acta Pharmacologica Sinica.
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.