Yun Lu
Impact in
- Toxicology top 10%
- Pharmacovigilance and Adverse Drug Reactions
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- Geographic Information Systems Studies
Papers in
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- Data Mining Algorithms and Applications 3
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- Health Systems, Economic Evaluations, Quality of Life 4
- Co-authors
- Songlin Zhang (1 shared paper)Shan Chen (1 shared paper)Fengying Chen (1 shared paper)Xiao-Ting Li (1 shared paper)Yuanyuan Sun (1 shared paper)Jie Zhao (3 shared papers)Naphtali Rishe (7 shared papers)Bin Zhang (2 shared papers)
- Journals
- Frontiers in Public Health (3 papers)PLoS ONE (2 papers)Value in Health Regional Issues (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Journal Of Big Data (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yun Lu
39 papers receiving 498 citations
Peers
Comparison fields: 5 of 120
- Toxicology 25
- Geography, Planning and Development 21
- Oncology 67
- Complementary and alternative medicine 19
- Signal Processing 26
Countries citing papers authored by Yun Lu
This map shows the geographic impact of Yun 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 Yun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Lu more than expected).
Fields of papers citing papers by Yun Lu
This network shows the impact of papers produced by Yun 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 Yun Lu. The network helps show where Yun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yun 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2019 | 85 | |
| 3 | 2021 | 33 | |
| 4 | 2017 | 27 | |
| 5 | 2022 | 26 | |
| 6 | 2014 | 23 | |
| 7 | Double-blind trial of vitamin C in elderly hypertensives. | 1993 | 23 |
| 8 | 2020 | 22 | |
| 9 | 2021 | 19 | |
| 10 | 2013 | 14 | |
| 11 | 2015 | 13 | |
| 12 | Efficacy of intra-tumor injection of Kang-Lai-Te in treating transplanted hepatoma in rats. | 2004 | 13 |
| 13 | 2013 | 12 | |
| 14 | 2018 | 11 | |
| 15 | 2014 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2017 | 7 |
About Yun Lu
Yun Lu is a scholar working on Information Systems, Economics and Econometrics, Signal Processing, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 44 papers that have together received 516 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (4 papers), Data Management and Algorithms (4 papers), Data Mining Algorithms and Applications (3 papers), Geographic Information Systems Studies (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Environmental Impact and Sustainability (2 papers) and Antibiotic Use and Resistance (2 papers). The work is most often cited by research in Toxicology (25 citations), Geography, Planning and Development (21 citations), Oncology (67 citations), Complementary and alternative medicine (19 citations) and Signal Processing (26 citations). Yun Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Songlin Zhang, Shan Chen, Fengying Chen, Xiao-Ting Li, Yuanyuan Sun, Jie Zhao, Naphtali Rishe, Bin Zhang, Xiaojian Zhang and Tao Li. Their work appears in journals such as Frontiers in Public Health, PLoS ONE, Value in Health Regional Issues, Journal of Pharmacology and Experimental Therapeutics and Journal Of Big Data.
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.