Win Topatana
- Health Informatics top 5%
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 6
- Cancer Research top 10%
- MicroRNA in disease regulation 2
- Oncology top 10%
- Peptidase Inhibition and Analysis 5
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- Radiomics and Machine Learning in Medical Imaging 3
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- Cholangiocarcinoma and Gallbladder Cancer Studies 13
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- Gallbladder and Bile Duct Disorders 5
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- Cancer Mechanisms and Therapy 3
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- DNA Repair Mechanisms 3
- Co-authors
- Mingyu ChenSarun JuengpanichJiasheng CaoXiujun CaiShijie LiJiahao HuBin ZhangJiliang Shen
- Journals
- Frontiers in Oncology (4 papers)Journal of Hematology & Oncology (2 papers)World Journal of Gastroenterology (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Win Topatana
29 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Health Informatics 34
- Hepatology 126
- Cancer Research 204
- Oncology 341
- Radiology, Nuclear Medicine and Imaging 213
Countries citing papers authored by Win Topatana
This map shows the geographic impact of Win Topatana'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 Win Topatana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Win Topatana more than expected).
Fields of papers citing papers by Win Topatana
This network shows the impact of papers produced by Win Topatana. 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 Win Topatana. The network helps show where Win Topatana may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Win Topatana, 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 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 66 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 26 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 3 | |
| 13 | Targeting mutant p53 for cancer therapy: direct and indirect strategiesbreakdown → | 2021 | 343 |
| 14 | 2021 | 13 | |
| 15 | 2021 | 11 | |
| 16 | 2020 | 70 | |
| 17 | 2020 | 169 | |
| 18 | 2020 | 6 | |
| 19 | 2020 | 33 | |
| 20 | 2020 | 12 |
About Win Topatana
Win Topatana is a scholar working on Hepatology, Oncology and Surgery, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Peptidase Inhibition and Analysis (5 papers), Gallbladder and Bile Duct Disorders (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cancer Mechanisms and Therapy (3 papers), DNA Repair Mechanisms (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Health Informatics (34 citations), Hepatology (126 citations) and Cancer Research (204 citations). Win Topatana has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Mingyu Chen, Sarun Juengpanich, Jiasheng Cao, Xiujun Cai, Shijie Li, Jiahao Hu, Bin Zhang, Jiliang Shen, Liuxin Cai and Hong Yu. Their work appears in journals such as Frontiers in Oncology, Journal of Hematology & Oncology, World Journal of Gastroenterology, Biomarker Research and Frontiers in Aging Neuroscience.
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.