Ru‐Nie Gao
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Public Health, Environmental and Occupational Health top 10%
- Surgery
- Molecular Biology
- Co-authors
- Yu‐Tang GaoLeslie A. GaudetteRandall E. HarrisErnst L. WynderC. Ineke NeutelBu‐Tian JiElaine S. WaiWilliam G. Woods
- Topics
- Global Cancer Incidence and Screening (8 papers)Colorectal Cancer Screening and Detection (6 papers)Cancer Risks and Factors (3 papers)
- Cited by
- OncologyCancer ResearchNeurology
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Ru‐Nie Gao
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Oncology 387
- Pulmonary and Respiratory Medicine 230
- Public Health, Environmental and Occupational Health 215
- Surgery 181
- Molecular Biology 180
Countries citing papers authored by Ru‐Nie Gao
This map shows the geographic impact of Ru‐Nie Gao'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 Ru‐Nie Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ru‐Nie Gao more than expected).
Fields of papers citing papers by Ru‐Nie Gao
This network shows the impact of papers produced by Ru‐Nie Gao. 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 Ru‐Nie Gao. The network helps show where Ru‐Nie Gao may publish in the future.
Co-authorship network of co-authors of Ru‐Nie Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Ru‐Nie Gao. A scholar is included among the top collaborators of Ru‐Nie Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ru‐Nie Gao. Ru‐Nie Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 64 | |
| 2 | 87 | |
| 3 | 14 | |
| 4 | 12 | |
| 5 | 13 | |
| 6 | Shorter hospital stays for breast cancer. | 14 |
| 7 | 23 | |
| 8 | 220 | |
| 9 | 134 | |
| 10 | Changing trends in melanoma incidence and mortality. | 31 |
| 11 | Cancer incidence and mortality across Canada. | 25 |
| 12 | 19 | |
| 13 | 10 | |
| 14 | Trends in breast cancer incidence and mortality. | 29 |
| 15 | 20 | |
| 16 | 18 | |
| 17 | 122 | |
| 18 | 200 | |
| 19 | 24 | |
| 20 | 45 |
About Ru‐Nie Gao
Ru‐Nie Gao is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (8 papers), Colorectal Cancer Screening and Detection (6 papers) and Cancer Risks and Factors (3 papers). The work is most often cited by research in Oncology (387 citations), Cancer Research (169 citations) and Neurology (150 citations). Ru‐Nie Gao has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Yu‐Tang Gao, Leslie A. Gaudette, Randall E. Harris, Ernst L. Wynder, C. Ineke Neutel, Bu‐Tian Ji, Elaine S. Wai, William G. Woods, Joseph K. McLaughlin and Isra Levy. Their work appears in journals such as New England Journal of Medicine, The Lancet and Cancer.
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.