Junxi Lu
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Nephrology top 2%
Papers in
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- Metabolism, Diabetes, and Cancer 6
- Retinoids in leukemia and cellular processes 5
- Epidemiology 17
- Liver Disease Diagnosis and Treatment 8
- Adipokines, Inflammation, and Metabolic Diseases 6
- Co-authors
- Weiping Jia (81 shared papers)Yuqian Bao (46 shared papers)Kun‐san Xiang (31 shared papers)Huijuan Lu (19 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
114 papers receiving 3.4k citations
Junxi Lu's Hit Papers
Peers
Comparison fields: 5 of 128
- Endocrinology, Diabetes and Metabolism 588
- Nephrology 238
- Rehabilitation 175
- Epidemiology 586
- Physiology 413
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 114 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 | 316 |
| 2 | 2008 | 182 | |
| 3 | 2006 | 166 | |
| 4 | 2021 | 161 | |
| 5 | 2011 | 142 | |
| 6 | 2007 | 119 | |
| 7 | 2009 | 97 | |
| 8 | 2020 | 90 | |
| 9 | 2015 | 87 | |
| 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 | 77 | |
| 12 | 2016 | 73 | |
| 13 | 2007 | 64 | |
| 14 | 2020 | 62 | |
| 15 | 2015 | 62 | |
| 16 | 2016 | 61 | |
| 17 | 2008 | 55 | |
| 18 | 2014 | 50 | |
| 19 | 2020 | 49 | |
| 20 | 2012 | 48 |
About Junxi Lu
Junxi Lu is a scholar working on Molecular Biology, Epidemiology, Nephrology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 114 papers that have together received 3.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Chronic Kidney Disease and Diabetes (6 papers), Gout, Hyperuricemia, Uric Acid (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Retinoids in leukemia and cellular processes (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (588 citations), Nephrology (238 citations), Rehabilitation (175 citations), Epidemiology (586 citations) and Physiology (413 citations). Junxi Lu has collaborated with scholars based in China, Hong Kong and India. 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, Cardiovascular Diabetology, Scientific Reports and Atherosclerosis.
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.