Lin‐Hung Wei
Impact in
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions
- Lymphatic System and Diseases
- Cancer Research top 5%
Papers in
-
- Angiogenesis and VEGF in Cancer 13
- Epigenetics and DNA Methylation 4
- Oncology 19
- Lymphatic System and Diseases 6
- Cytokine Signaling Pathways and Interactions 6
- Co-authors
- Min‐Liang Kuo (18 shared papers)Chi‐An Chen (20 shared papers)Chia‐Hung Chou (10 shared papers)Chang-Yao Hsieh (5 shared papers)Jen-Liang Su (8 shared papers)Yung‐Ming Jeng (8 shared papers)Michael Hsiao (11 shared papers)Chien‐Nan Lee (3 shared papers)
- Journals
- Cancer Research (6 papers)Oncogene (4 papers)Gynecologic Oncology (4 papers)International Journal of Gynecological Cancer (3 papers)Scientific Reports (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Lin‐Hung Wei
59 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 106
- Oncology 915
- Cancer Research 489
- Obstetrics and Gynecology 199
- Reproductive Medicine 221
- Molecular Biology 1.5k
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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 452 | |
| 2 | 2010 | 315 | |
| 3 | 2006 | 287 | |
| 4 | 2004 | 171 | |
| 5 | 2010 | 162 | |
| 6 | 2001 | 152 | |
| 7 | 2014 | 134 | |
| 8 | 2017 | 131 | |
| 9 | 2001 | 100 | |
| 10 | 2018 | 85 | |
| 11 | 2005 | 73 | |
| 12 | 2005 | 72 | |
| 13 | 2009 | 71 | |
| 14 | 2019 | 58 | |
| 15 | 2004 | 56 | |
| 16 | 2012 | 56 | |
| 17 | 2011 | 51 | |
| 18 | 2013 | 46 | |
| 19 | 2015 | 43 | |
| 20 | 2014 | 36 |
About Lin‐Hung Wei
Lin‐Hung Wei is a scholar working on Molecular Biology, Oncology, Reproductive Medicine, Obstetrics and Gynecology and Immunology, having authored 63 papers that have together received 3.0k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (13 papers), Ovarian cancer diagnosis and treatment (9 papers), Endometrial and Cervical Cancer Treatments (8 papers), Lymphatic System and Diseases (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Uterine Myomas and Treatments (6 papers), Endometriosis Research and Treatment (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Oncology (915 citations), Cancer Research (489 citations), Obstetrics and Gynecology (199 citations), Reproductive Medicine (221 citations) and Molecular Biology (1.5k citations). Lin‐Hung Wei has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Min‐Liang Kuo, Chi‐An Chen, Chia‐Hung Chou, Chang-Yao Hsieh, Jen-Liang Su, Yung‐Ming Jeng, Michael Hsiao, Chien‐Nan Lee, Chang‐Yao Hsieh and Ming‐Hsien Chien. Their work appears in journals such as Cancer Research, Oncogene, Gynecologic Oncology, International Journal of Gynecological Cancer 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.