Lin‐Hung Wei
Impact in
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions
- Lymphatic System and Diseases
- Cancer Cells and Metastasis
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in
- Oncology 21
- Cytokine Signaling Pathways and Interactions 9
- Lymphatic System and Diseases 8
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- Endometrial and Cervical Cancer Treatments 9
- Uterine Myomas and Treatments 3
- Co-authors
- Min‐Liang Kuo (19 shared papers)Chang‐Yao Hsieh (17 shared papers)Chi‐An Chen (19 shared papers)Chia‐Hung Chou (11 shared papers)Jen-Liang Su (9 shared papers)Yung‐Ming Jeng (8 shared papers)Michael Hsiao (11 shared papers)Chien‐Nan Lee (3 shared papers)
- Journals
- Cancer Research (6 papers)Gynecologic Oncology (5 papers)Oncogene (4 papers)Annals of Surgical Oncology (2 papers)Scientific Reports (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Lin‐Hung Wei
57 papers receiving 3k citations
Peers
Comparison fields: 5 of 91
- Oncology 795
- Reproductive Medicine 231
- Cancer Research 292
- Obstetrics and Gynecology 161
- Molecular Biology 944
Countries citing papers authored by Lin‐Hung Wei
This map shows the geographic impact of Lin‐Hung Wei'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 Lin‐Hung Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin‐Hung Wei more than expected).
Fields of papers citing papers by Lin‐Hung Wei
This network shows the impact of papers produced by Lin‐Hung Wei. 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 Lin‐Hung Wei. The network helps show where Lin‐Hung Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin‐Hung Wei, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 467 | |
| 2 | 2010 | 324 | |
| 3 | 2006 | 293 | |
| 4 | 2004 | 172 | |
| 5 | 2010 | 165 | |
| 6 | 2001 | 152 | |
| 7 | 2014 | 141 | |
| 8 | 2017 | 136 | |
| 9 | 2001 | 96 | |
| 10 | 2018 | 92 | |
| 11 | 2005 | 76 | |
| 12 | 2009 | 76 | |
| 13 | 2005 | 74 | |
| 14 | 2019 | 59 | |
| 15 | 2004 | 57 | |
| 16 | 2012 | 56 | |
| 17 | 2011 | 51 | |
| 18 | 2013 | 45 | |
| 19 | 2015 | 45 | |
| 20 | 2014 | 36 |
About Lin‐Hung Wei
Lin‐Hung Wei is a scholar working on Oncology, Obstetrics and Gynecology, Reproductive Medicine, Molecular Biology and Cancer Research, having authored 61 papers that have together received 3k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (9 papers), Ovarian cancer diagnosis and treatment (9 papers), Cytokine Signaling Pathways and Interactions (9 papers), Lymphatic System and Diseases (8 papers), Angiogenesis and VEGF in Cancer (7 papers), Uterine Myomas and Treatments (3 papers), Epigenetics and DNA Methylation (3 papers) and Diagnosis and treatment of tuberculosis (3 papers). The work is most often cited by research in Oncology (795 citations), Reproductive Medicine (231 citations), Cancer Research (292 citations), Obstetrics and Gynecology (161 citations) and Molecular Biology (944 citations). Lin‐Hung Wei has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Min‐Liang Kuo, Chang‐Yao Hsieh, Chi‐An Chen, Chia‐Hung Chou, Jen-Liang Su, Yung‐Ming Jeng, Michael Hsiao, Chien‐Nan Lee, Ming‐Hsien Chien and Kuo‐Tai Hua. Their work appears in journals such as Cancer Research, Gynecologic Oncology, Oncogene, Annals of Surgical Oncology and Scientific Reports.
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.