Samuel Seery
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
- Surgery 16
- Bladder and Urothelial Cancer Treatments 10
- Epidemiology 14
- Cervical Cancer and HPV Research 11
- Hepatitis B Virus Studies 3
- Co-authors
- Peng Xue (14 shared papers)You‐Lin Qiao (13 shared papers)Yu Jiang (11 shared papers)Mingyang Chen (6 shared papers)Junyu Long (4 shared papers)Haitao Zhao (4 shared papers)Dongxu Wang (4 shared papers)Yi Bai (4 shared papers)
- Journals
- International Journal of Surgery (4 papers)Frontiers in Cardiovascular Medicine (3 papers)BMC Cancer (3 papers)Frontiers in Oncology (3 papers)BMJ Open (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Samuel Seery
66 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 105
- Health Informatics 116
- Oncology 225
- Urology 37
- Epidemiology 168
- Hepatology 39
Countries citing papers authored by Samuel Seery
This map shows the geographic impact of Samuel Seery'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 Samuel Seery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Seery more than expected).
Fields of papers citing papers by Samuel Seery
This network shows the impact of papers produced by Samuel Seery. 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 Samuel Seery. The network helps show where Samuel Seery may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Seery, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 142 | |
| 2 | 2021 | 99 | |
| 3 | 2022 | 84 | |
| 4 | 2019 | 72 | |
| 5 | 2019 | 57 | |
| 6 | 2022 | 41 | |
| 7 | 2020 | 34 | |
| 8 | 2021 | 33 | |
| 9 | 2020 | 31 | |
| 10 | 2019 | 28 | |
| 11 | 2020 | 28 | |
| 12 | 2023 | 27 | |
| 13 | 2023 | 24 | |
| 14 | 2022 | 21 | |
| 15 | 2024 | 20 | |
| 16 | 2023 | 19 | |
| 17 | 2022 | 17 | |
| 18 | 2020 | 16 | |
| 19 | 2024 | 16 | |
| 20 | 2019 | 15 |
About Samuel Seery
Samuel Seery is a scholar working on Surgery, Epidemiology, Oncology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (11 papers), Bladder and Urothelial Cancer Treatments (10 papers), Kidney Stones and Urolithiasis Treatments (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Renal cell carcinoma treatment (3 papers), Hepatitis B Virus Studies (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (116 citations), Oncology (225 citations), Urology (37 citations), Epidemiology (168 citations) and Hepatology (39 citations). Samuel Seery has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Peng Xue, You‐Lin Qiao, Yu Jiang, Mingyang Chen, Junyu Long, Haitao Zhao, Dongxu Wang, Yi Bai, Xiaobo Yang and Jianzhen Lin. Their work appears in journals such as International Journal of Surgery, Frontiers in Cardiovascular Medicine, BMC Cancer, Frontiers in Oncology and BMJ Open.
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.