Dongfeng Tan
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Oncology top 2%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
- Oncology 59
- Pancreatic and Hepatic Oncology Research 12
- Cancer Cells and Metastasis 10
-
- Cancer-related molecular mechanisms research 8
- Co-authors
- Thaer KhourySadir AlrawiMilind JavleSam M. WisemanNithya RamnathFengzhi LiJie YangJohn F. Gibbs
- Journals
- Journal of Clinical Oncology (5 papers)PLoS ONE (5 papers)Archives of Pathology & Laboratory Medicine (4 papers)Modern Pathology (4 papers)Diagnostic Pathology (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Dongfeng Tan
122 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 897
- Oncology 1.6k
- Pathology and Forensic Medicine 543
- Pulmonary and Respiratory Medicine 901
- Molecular Biology 1.9k
Countries citing papers authored by Dongfeng Tan
This map shows the geographic impact of Dongfeng Tan'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 Dongfeng Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongfeng Tan more than expected).
Fields of papers citing papers by Dongfeng Tan
This network shows the impact of papers produced by Dongfeng Tan. 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 Dongfeng Tan. The network helps show where Dongfeng Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongfeng Tan, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 2 | |
| 6 | 2020 | 64 | |
| 7 | 2019 | 7 | |
| 8 | 2014 | 94 | |
| 9 | 2011 | 8 | |
| 10 | 2011 | 58 | |
| 11 | 2010 | 68 | |
| 12 | 2009 | 177 | |
| 13 | 2008 | 39 | |
| 14 | 2005 | 49 | |
| 15 | 2005 | 20 | |
| 16 | 2005 | 1 | |
| 17 | 2004 | 62 | |
| 18 | Nuclear survivin expression predicts poor outcome in cholangiocarcinoma. | 2004 | 23 |
| 19 | 2004 | 14 | |
| 20 | 2003 | 28 |
About Dongfeng Tan
Dongfeng Tan is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 124 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (12 papers), Genetic factors in colorectal cancer (12 papers), Cancer Cells and Metastasis (10 papers), Cancer-related gene regulation (9 papers), Gastric Cancer Management and Outcomes (8 papers), RNA modifications and cancer (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Cancer Research (897 citations), Oncology (1.6k citations), Pathology and Forensic Medicine (543 citations), Pulmonary and Respiratory Medicine (901 citations) and Molecular Biology (1.9k citations). Dongfeng Tan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Thaer Khoury, Sadir Alrawi, Milind Javle, Sam M. Wiseman, Nithya Ramnath, Fengzhi Li, Nithya Ramnath, Jie Yang, John F. Gibbs and Jennifer D. Black. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Archives of Pathology & Laboratory Medicine, Modern Pathology and Diagnostic 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.