Kai-Hsi Lu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 3
- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 1
-
- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Co-authors
- Yi‐Ping Yang (7 shared papers)Ming-Teh Chen (3 shared papers)Chi-Shuan Huang (4 shared papers)Mong‐Lien Wang (4 shared papers)Yueh Chien (3 shared papers)Yi‐Wei Chen (2 shared papers)Pin‐I Huang (2 shared papers)Shou‐Dong Lee (4 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)Biomedicines (1 paper)Oncotarget (1 paper)Phytomedicine (1 paper)Cancer Cell International (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Kai-Hsi Lu
18 papers receiving 405 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 152
- Reproductive Medicine 38
- Genetics 41
- Oncology 93
- Molecular Biology 239
Countries citing papers authored by Kai-Hsi Lu
This map shows the geographic impact of Kai-Hsi Lu'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 Kai-Hsi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Hsi Lu more than expected).
Fields of papers citing papers by Kai-Hsi Lu
This network shows the impact of papers produced by Kai-Hsi Lu. 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 Kai-Hsi Lu. The network helps show where Kai-Hsi Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai-Hsi Lu, 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 | 2016 | 82 | |
| 2 | 2013 | 82 | |
| 3 | 2020 | 55 | |
| 4 | 2019 | 36 | |
| 5 | 2017 | 34 | |
| 6 | 2017 | 30 | |
| 7 | 2019 | 24 | |
| 8 | 2018 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2009 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2018 | 7 | |
| 13 | 2021 | 5 | |
| 14 | 2018 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2013 | 1 |
About Kai-Hsi Lu
Kai-Hsi Lu is a scholar working on Molecular Biology, Cancer Research, Reproductive Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 18 papers that have together received 410 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Ferroptosis and cancer prognosis (3 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (2 papers), Cancer Cells and Metastasis (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (152 citations), Reproductive Medicine (38 citations), Genetics (41 citations), Oncology (93 citations) and Molecular Biology (239 citations). Kai-Hsi Lu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yi‐Ping Yang, Ming-Teh Chen, Chi-Shuan Huang, Mong‐Lien Wang, Yueh Chien, Yi‐Wei Chen, Pin‐I Huang, Shou‐Dong Lee, Chian‐Shiu Chien and Ping‐Hsing Tsai. Their work appears in journals such as International Journal of Molecular Sciences, Biomedicines, Oncotarget, Phytomedicine and Cancer Cell International.
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.