Fei Dong
Impact in
- Obstetrics and Gynecology top 2%
- Endometrial and Cervical Cancer Treatments
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Cancer Genomics and Diagnostics 20
-
- Genetic factors in colorectal cancer 16
- Co-authors
- Marisa R. NucciBrooke E. HowittNeal I. LindemanLaura E. MacConaillYue ZhangLynette M. ShollElizabeth GarciaFrank C. Kuo
- Journals
- Modern Pathology (16 papers)The American Journal of Surgical Pathology (13 papers)Histopathology (5 papers)The Journal of Urology (3 papers)Medicine (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Fei Dong
118 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 144
- Obstetrics and Gynecology 393
- Reproductive Medicine 360
- Cancer Research 621
- Pulmonary and Respiratory Medicine 1.3k
- Oncology 837
Countries citing papers authored by Fei Dong
This map shows the geographic impact of Fei Dong'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 Fei Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Dong more than expected).
Fields of papers citing papers by Fei Dong
This network shows the impact of papers produced by Fei Dong. 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 Fei Dong. The network helps show where Fei Dong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fei Dong, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 64 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 51 | |
| 13 | 2019 | 1 | |
| 14 | 2018 | 87 | |
| 15 | 2018 | 25 | |
| 16 | 2016 | 13 | |
| 17 | 2016 | 1 | |
| 18 | 2016 | 118 | |
| 19 | 2015 | 17 | |
| 20 | 2014 | 87 |
About Fei Dong
Fei Dong is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine and Reproductive Medicine, having authored 132 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (20 papers), Genetic factors in colorectal cancer (16 papers), Sarcoma Diagnosis and Treatment (9 papers), Ovarian cancer diagnosis and treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Pancreatic and Hepatic Oncology Research (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Lung Cancer Treatments and Mutations (6 papers). The work is most often cited by research in Obstetrics and Gynecology (393 citations), Reproductive Medicine (360 citations), Cancer Research (621 citations), Pulmonary and Respiratory Medicine (1.3k citations) and Oncology (837 citations). Fei Dong has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Marisa R. Nucci, Brooke E. Howitt, Neal I. Lindeman, Laura E. MacConaill, Yue Zhang, Lynette M. Sholl, Elizabeth Garcia, Frank C. Kuo, Christopher P. Crum and Danielle C. Costigan. Their work appears in journals such as Modern Pathology, The American Journal of Surgical Pathology, Histopathology, The Journal of Urology and 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.