Weiping Lu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Advanced biosensing and bioanalysis techniques 6
- Peroxisome Proliferator-Activated Receptors 2
-
- Biosensors and Analytical Detection 4
- Co-authors
- Di Yao (7 shared papers)Suyu Wang (5 shared papers)Min Wang (6 shared papers)Yan Qin (3 shared papers)D. P. Kelly (4 shared papers)Shaoli Deng (4 shared papers)B.E.P. Swoboda (1 shared paper)Fake Li (3 shared papers)
- Journals
- Biosensors and Bioelectronics (3 papers)Gene (1 paper)IUBMB Life (1 paper)International Journal of Molecular Medicine (1 paper)Archives of Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weiping Lu
34 papers receiving 897 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 185
- Molecular Medicine 58
- Molecular Biology 435
- Nephrology 34
- Biomedical Engineering 209
Countries citing papers authored by Weiping Lu
This map shows the geographic impact of Weiping 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 Weiping Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiping Lu more than expected).
Fields of papers citing papers by Weiping Lu
This network shows the impact of papers produced by Weiping 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 Weiping Lu. The network helps show where Weiping Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiping 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 102 | |
| 2 | 2014 | 101 | |
| 3 | 2015 | 72 | |
| 4 | 2004 | 62 | |
| 5 | 2016 | 53 | |
| 6 | 2001 | 48 | |
| 7 | 2018 | 47 | |
| 8 | 1985 | 45 | |
| 9 | 2010 | 39 | |
| 10 | 1989 | 37 | |
| 11 | 2018 | 37 | |
| 12 | 2018 | 35 | |
| 13 | 2011 | 28 | |
| 14 | 2022 | 26 | |
| 15 | 2012 | 21 | |
| 16 | 2013 | 19 | |
| 17 | 2023 | 17 | |
| 18 | 1986 | 16 | |
| 19 | 2011 | 15 | |
| 20 | 2021 | 13 |
About Weiping Lu
Weiping Lu is a scholar working on Molecular Biology, Biomedical Engineering, Epidemiology, Clinical Biochemistry and Cancer Research, having authored 35 papers that have together received 911 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (6 papers), Biosensors and Analytical Detection (4 papers), Lipid metabolism and disorders (3 papers), Cancer-related molecular mechanisms research (3 papers), Advanced Glycation End Products research (3 papers), Pneumonia and Respiratory Infections (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Cancer Research (185 citations), Molecular Medicine (58 citations), Molecular Biology (435 citations), Nephrology (34 citations) and Biomedical Engineering (209 citations). Weiping Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Di Yao, Suyu Wang, Min Wang, Yan Qin, D. P. Kelly, Shaoli Deng, B.E.P. Swoboda, Fake Li, Shuangrong Jia and Jianfeng Shi. Their work appears in journals such as Biosensors and Bioelectronics, Gene, IUBMB Life, International Journal of Molecular Medicine and Archives of Microbiology.
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.