Cu‐Tai Lu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Nephrology top 10%
- Dialysis and Renal Disease Management
Papers in ⓘ
- Oncology 20
- Colorectal Cancer Surgical Treatments 7
- Colorectal Cancer Screening and Detection 6
- Cancer Cells and Metastasis 5
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- Cancer Genomics and Diagnostics 6
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Co-authors
- Alfred K. Lam (31 shared papers)Vinod Gopalan (27 shared papers)Farhadul Islam (15 shared papers)Jelena Vider (5 shared papers)Riajul Wahab (6 shared papers)Robert A. Smith (5 shared papers)Tony Elias (1 shared paper)Randall Faull (1 shared paper)
- Journals
- ANZ Journal of Surgery (6 papers)Human Pathology (4 papers)Experimental Cell Research (4 papers)International Journal of Colorectal Disease (3 papers)Experimental and Molecular Pathology (3 papers)
- Partner nations
- AustraliaBangladeshSri Lanka
In The Last Decade
Cu‐Tai Lu
43 papers receiving 596 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 219
- Nephrology 65
- Emergency Medical Services 58
- Oncology 163
- Molecular Biology 286
Countries citing papers authored by Cu‐Tai Lu
This map shows the geographic impact of Cu‐Tai 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 Cu‐Tai Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cu‐Tai Lu more than expected).
Fields of papers citing papers by Cu‐Tai Lu
This network shows the impact of papers produced by Cu‐Tai 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 Cu‐Tai Lu. The network helps show where Cu‐Tai Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cu‐Tai 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 69 | |
| 2 | 2017 | 57 | |
| 3 | 2015 | 48 | |
| 4 | 2018 | 45 | |
| 5 | 2014 | 30 | |
| 6 | 2017 | 26 | |
| 7 | 2017 | 25 | |
| 8 | 2018 | 24 | |
| 9 | 2019 | 24 | |
| 10 | 2018 | 23 | |
| 11 | 2008 | 19 | |
| 12 | 2019 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2022 | 17 | |
| 15 | 2016 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2012 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2020 | 10 |
About Cu‐Tai Lu
Cu‐Tai Lu is a scholar working on Oncology, Cancer Research, Molecular Biology, Surgery and Pathology and Forensic Medicine, having authored 45 papers that have together received 610 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (9 papers), Colorectal Cancer Surgical Treatments (7 papers), Cancer Genomics and Diagnostics (6 papers), Colorectal Cancer Screening and Detection (6 papers), Cancer Cells and Metastasis (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Diverticular Disease and Complications (4 papers). The work is most often cited by research in Cancer Research (219 citations), Nephrology (65 citations), Emergency Medical Services (58 citations), Oncology (163 citations) and Molecular Biology (286 citations). Cu‐Tai Lu has collaborated with scholars based in Australia, Bangladesh and Sri Lanka. Frequent co-authors include Alfred K. Lam, Vinod Gopalan, Farhadul Islam, Jelena Vider, Riajul Wahab, Robert A. Smith, Tony Elias, Randall Faull, David I. Watson and A. R. Clarkson. Their work appears in journals such as ANZ Journal of Surgery, Human Pathology, Experimental Cell Research, International Journal of Colorectal Disease and Experimental and Molecular Pathology.
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.