Zhanping Lu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- Sphingolipid Metabolism and Signaling
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Epigenetics and DNA Methylation 7
- Genomics and Chromatin Dynamics 4
- Cancer-related gene regulation 4
- Circular RNAs in diseases 2
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
- Co-authors
- Lihong Ye (7 shared papers)Xiaodong Zhang (7 shared papers)Fabao Liu (3 shared papers)Zelin Xiao (4 shared papers)Ming Cui (2 shared papers)Zhe Yang (1 shared paper)Jiong Li (1 shared paper)Yuen Gao (5 shared papers)
- Journals
- Blood (3 papers)Biochemical and Biophysical Research Communications (3 papers)Molecular Cancer (1 paper)Cell Death and Differentiation (1 paper)Development (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Zhanping Lu
17 papers receiving 471 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 259
- Molecular Biology 353
- Cell Biology 57
- Hepatology 24
- Epidemiology 92
Countries citing papers authored by Zhanping Lu
This map shows the geographic impact of Zhanping 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 Zhanping Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhanping Lu more than expected).
Fields of papers citing papers by Zhanping Lu
This network shows the impact of papers produced by Zhanping 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 Zhanping Lu. The network helps show where Zhanping Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhanping 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 172 | |
| 2 | 2013 | 83 | |
| 3 | 2014 | 53 | |
| 4 | 2015 | 45 | |
| 5 | 2018 | 37 | |
| 6 | 2015 | 25 | |
| 7 | 2015 | 23 | |
| 8 | Platelet activating factor-induced microvascular permeability increases in the cat hindlimb. | 1993 | 9 |
| 9 | 2024 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2019 | 6 | |
| 12 | 2015 | 6 | |
| 13 | 2023 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Zhanping Lu
Zhanping Lu is a scholar working on Molecular Biology, Cancer Research, Hematology, Cell Biology and Immunology, having authored 18 papers that have together received 480 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related gene regulation (4 papers), Cancer-related molecular mechanisms research (3 papers), Acute Myeloid Leukemia Research (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (259 citations), Molecular Biology (353 citations), Cell Biology (57 citations), Hepatology (24 citations) and Epidemiology (92 citations). Zhanping Lu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Lihong Ye, Xiaodong Zhang, Fabao Liu, Zelin Xiao, Ming Cui, Zhe Yang, Jiong Li, Yuen Gao, Weiping Li and Weiying Zhang. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications, Molecular Cancer, Cell Death and Differentiation and Development.
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.