Chung‐Wu Lin
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Viral-associated cancers and disorders
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
Papers in
-
- Lymphoma Diagnosis and Treatment 38
- Immunology 34
- Immune Cell Function and Interaction 17
- Galectins and Cancer Biology 11
- Co-authors
- Sung‐Hsin KuoPan‐Chyr YangAnn‐Lii ChengMing‐Shiang WuShee‐Uan ChenWeiting HuangPing‐Ning HsuYu‐Shih Yang
- Journals
- Blood (9 papers)Journal of Clinical Oncology (6 papers)The Journal of Pathology (4 papers)American Journal Of Pathology (4 papers)Blood Cancer Journal (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chung‐Wu Lin
107 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 122
- Cancer Research 578
- Oncology 965
- Pathology and Forensic Medicine 615
- Immunology 655
- Hematology 314
Countries citing papers authored by Chung‐Wu Lin
This map shows the geographic impact of Chung‐Wu Lin'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 Chung‐Wu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung‐Wu Lin more than expected).
Fields of papers citing papers by Chung‐Wu Lin
This network shows the impact of papers produced by Chung‐Wu Lin. 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 Chung‐Wu Lin. The network helps show where Chung‐Wu Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chung‐Wu Lin, 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 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 13 | |
| 6 | 2021 | 11 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 32 | |
| 9 | 2018 | 11 | |
| 10 | 2018 | 36 | |
| 11 | 2017 | 19 | |
| 12 | 2016 | 20 | |
| 13 | 2012 | 95 | |
| 14 | 2011 | 6 | |
| 15 | 2011 | 11 | |
| 16 | 2010 | 80 | |
| 17 | 2010 | 239 | |
| 18 | 2010 | 6 | |
| 19 | 2008 | 146 | |
| 20 | 1993 | 36 |
About Chung‐Wu Lin
Chung‐Wu Lin is a scholar working on Pathology and Forensic Medicine, Immunology, Oncology, Hematology and Cancer Research, having authored 110 papers that have together received 3.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (38 papers), Viral-associated cancers and disorders (19 papers), Immune Cell Function and Interaction (17 papers), Helicobacter pylori-related gastroenterology studies (16 papers), Galectins and Cancer Biology (11 papers), Gastric Cancer Management and Outcomes (8 papers), Cancer-related molecular mechanisms research (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Cancer Research (578 citations), Oncology (965 citations), Pathology and Forensic Medicine (615 citations), Immunology (655 citations) and Hematology (314 citations). Chung‐Wu Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Sung‐Hsin Kuo, Pan‐Chyr Yang, Ann‐Lii Cheng, Ming‐Shiang Wu, Shee‐Uan Chen, Weiting Huang, Ping‐Ning Hsu, Yu‐Shih Yang, Kun‐Huei Yeh and Wing‐Kai Chan. Their work appears in journals such as Blood, Journal of Clinical Oncology, The Journal of Pathology, American Journal Of Pathology and Blood Cancer Journal.
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.