Jun Lü
Impact in
-
- Traditional Chinese Medicine Analysis
- Acupuncture Treatment Research Studies
- Epidemiology top 10%
- Sepsis Diagnosis and Treatment
- Traumatic Brain Injury Research
Papers in
- Epidemiology 22
- Sepsis Diagnosis and Treatment 10
- Traumatic Brain Injury Research 8
-
- Acupuncture Treatment Research Studies 3
- Co-authors
- Mingqi Chen (8 shared papers)Lu Cheng (7 shared papers)Qiuhua Chen (7 shared papers)Zhiguang Sun (3 shared papers)Jing Yan (5 shared papers)Hua Jiang (2 shared papers)Chang‐Ming Huang (7 shared papers)Jing Yan (2 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (4 papers)BMC Cancer (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Brain Communications (2 papers)Journal of Surgical Research (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jun Lü
61 papers receiving 1k citations
Peers
Comparison fields: 5 of 87
- Complementary and alternative medicine 119
- Epidemiology 202
- Gastroenterology 37
- Oncology 103
- Hepatology 40
Countries citing papers authored by Jun Lü
This map shows the geographic impact of Jun Lü'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 Jun Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lü more than expected).
Fields of papers citing papers by Jun Lü
This network shows the impact of papers produced by Jun Lü. 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 Jun Lü. The network helps show where Jun Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Lü, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 74 | |
| 2 | 2019 | 56 | |
| 3 | 2018 | 50 | |
| 4 | 2019 | 48 | |
| 5 | 2019 | 47 | |
| 6 | 2019 | 43 | |
| 7 | 2015 | 37 | |
| 8 | 2017 | 37 | |
| 9 | 2012 | 34 | |
| 10 | 2019 | 33 | |
| 11 | 2019 | 32 | |
| 12 | 2014 | 29 | |
| 13 | 2015 | 29 | |
| 14 | 2023 | 28 | |
| 15 | 2005 | 26 | |
| 16 | 2020 | 24 | |
| 17 | 2017 | 23 | |
| 18 | 2017 | 22 | |
| 19 | 2022 | 22 | |
| 20 | 2016 | 21 |
About Jun Lü
Jun Lü is a scholar working on Epidemiology, Complementary and alternative medicine, Pulmonary and Respiratory Medicine, Hepatology and Surgery, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (10 papers), Traumatic Brain Injury Research (8 papers), Gastric Cancer Management and Outcomes (5 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Nutrition and Health in Aging (3 papers), Acupuncture Treatment Research Studies (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Effects of Vibration on Health (2 papers). The work is most often cited by research in Complementary and alternative medicine (119 citations), Epidemiology (202 citations), Gastroenterology (37 citations), Oncology (103 citations) and Hepatology (40 citations). Jun Lü has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Mingqi Chen, Lu Cheng, Qiuhua Chen, Zhiguang Sun, Jing Yan, Hua Jiang, Chang‐Ming Huang, Jing Yan, Jia-Bin Wang and Jian‐Wei Xie. Their work appears in journals such as Biomedicine & Pharmacotherapy, BMC Cancer, Evidence-based Complementary and Alternative Medicine, Brain Communications and Journal of Surgical Research.
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.