Dongsheng Tu
- Oncology top 0.02%
- Colorectal Cancer Treatments and Studies 61
- Cancer Treatment and Pharmacology 27
- Cancer Research top 0.1%
- Breast Cancer Treatment Studies 40
- Cancer Genomics and Diagnostics 33
- Pulmonary and Respiratory Medicine top 0.05%
- Lung Cancer Treatments and Mutations 29
- Pathology and Forensic Medicine top 0.1%
- Hepatology top 0.5%
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- Estrogen and related hormone effects 37
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- Statistical Methods in Clinical Trials 28
- Statistical Methods and Inference 28
- Co-authors
- Jun ShaoLois E. ShepherdMalcolm J. MooreDerek J. JonkerLesley SeymourChris J. O’CallaghanChristos S. KarapetisAndrea Bezjak
- Journals
- Journal of Clinical Oncology (113 papers)Annals of Oncology (16 papers)Breast Cancer Research and Treatment (12 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Dongsheng Tu
293 papers receiving 24.7k citations
Hit Papers
Peers
Comparison fields: 5 of 209
- Oncology 15.6k
- Cancer Research 5.9k
- Pulmonary and Respiratory Medicine 8.6k
- Pathology and Forensic Medicine 4.1k
- Hepatology 1.4k
Countries citing papers authored by Dongsheng Tu
This map shows the geographic impact of Dongsheng Tu'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 Dongsheng Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongsheng Tu more than expected).
Fields of papers citing papers by Dongsheng Tu
This network shows the impact of papers produced by Dongsheng Tu. 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 Dongsheng Tu. The network helps show where Dongsheng Tu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dongsheng Tu, 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 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 14 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 31 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 70 | |
| 13 | 2018 | 20 | |
| 14 | 2017 | 5 | |
| 15 | 2017 | 2 | |
| 16 | 2017 | 7 | |
| 17 | 2016 | 78 | |
| 18 | 2012 | 220 | |
| 19 | 2012 | 105 | |
| 20 | 2010 | 117 |
About Dongsheng Tu
Dongsheng Tu is a scholar working on Oncology, Statistics and Probability and Cancer Research, having authored 313 papers that have together received 25.5k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (61 papers), Breast Cancer Treatment Studies (40 papers), Estrogen and related hormone effects (37 papers), Cancer Genomics and Diagnostics (33 papers), Lung Cancer Treatments and Mutations (29 papers), Statistical Methods in Clinical Trials (28 papers), Statistical Methods and Inference (28 papers) and Cancer Treatment and Pharmacology (27 papers). The work is most often cited by research in Oncology (15.6k citations), Cancer Research (5.9k citations) and Pulmonary and Respiratory Medicine (8.6k citations). Dongsheng Tu has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Jun Shao, Lois E. Shepherd, Malcolm J. Moore, Derek J. Jonker, Lesley Seymour, Chris J. O’Callaghan, Christos S. Karapetis, Andrea Bezjak, John Zalcberg and Niall C. Tebbutt. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Breast Cancer Research and Treatment, Clinical Cancer Research and New England Journal of Medicine.
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.