Robert Lu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- DNA Repair Mechanisms
- RNA modifications and cancer
- CRISPR and Genetic Engineering
Papers in ⓘ
-
- Telomeres, Telomerase, and Senescence 7
-
- DNA Repair Mechanisms 7
- CRISPR and Genetic Engineering 5
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Zhi‐Ming Zheng (1 shared paper)Janet S. Rader (1 shared paper)Craig Meyers (1 shared paper)Shuang Tang (1 shared paper)Xiaohong Wang (1 shared paper)Hilda A. Pickett (8 shared papers)William T. O'Donnell (1 shared paper)Stephen T. Warren (1 shared paper)
- Journals
- Nature Communications (3 papers)Genes & Development (1 paper)Cancer (1 paper)Scientific Reports (1 paper)Matrix Biology (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Robert Lu
15 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Cancer Research 578
- Molecular Biology 1.0k
- Aging 17
- Genetics 238
- Physiology 203
Countries citing papers authored by Robert Lu
This map shows the geographic impact of Robert 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 Robert Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Lu more than expected).
Fields of papers citing papers by Robert Lu
This network shows the impact of papers produced by Robert 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 Robert Lu. The network helps show where Robert Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert 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 | Aberrant Expression of Oncogenic and Tumor-Suppressive MicroRNAs in Cervical Cancer Is Required for Cancer Cell Growth Hit paper breakdown → | 2008 | 615 |
| 2 | 2004 | 255 | |
| 3 | 2019 | 145 | |
| 4 | 2019 | 92 | |
| 5 | 2022 | 39 | |
| 6 | 2002 | 26 | |
| 7 | 2019 | 22 | |
| 8 | 2002 | 20 | |
| 9 | 2021 | 15 | |
| 10 | 2024 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2024 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2025 | 0 |
About Robert Lu
Robert Lu is a scholar working on Physiology, Molecular Biology, Cancer Research, Cell Biology and Oncology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (7 papers), DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (5 papers), MicroRNA in disease regulation (2 papers), PARP inhibition in cancer therapy (2 papers), Pancreatic function and diabetes (1 paper), Connective tissue disorders research (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Cancer Research (578 citations), Molecular Biology (1.0k citations), Aging (17 citations), Genetics (238 citations) and Physiology (203 citations). Robert Lu has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Zhi‐Ming Zheng, Janet S. Rader, Craig Meyers, Shuang Tang, Xiaohong Wang, Hilda A. Pickett, William T. O'Donnell, Stephen T. Warren, Wen Li and Li Ku. Their work appears in journals such as Nature Communications, Genes & Development, Cancer, Scientific Reports and Matrix Biology.
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.