Kai-Hsi Lu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Glioma Diagnosis and Treatment
Papers in
-
- Circular RNAs in diseases 3
- RNA Research and Splicing 2
- CRISPR and Genetic Engineering 2
-
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
- Co-authors
- Yi‐Ping Yang (7 shared papers)Ming-Teh Chen (3 shared papers)Mong‐Lien Wang (4 shared papers)Chi-Shuan Huang (4 shared papers)Yueh Chien (3 shared papers)Pin‐I Huang (2 shared papers)Yi‐Wei Chen (2 shared papers)Shou‐Dong Lee (4 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)Phytomedicine (1 paper)Journal of Clinical Oncology (1 paper)Cancer Cell International (1 paper)Oncotarget (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Kai-Hsi Lu
18 papers receiving 385 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 172
- Genetics 48
- Oncology 102
- Molecular Biology 255
- Reproductive Medicine 31
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 | 2013 | 81 | |
| 2 | 2016 | 79 | |
| 3 | 2020 | 55 | |
| 4 | 2019 | 35 | |
| 5 | 2017 | 30 | |
| 6 | 2017 | 29 | |
| 7 | 2019 | 24 | |
| 8 | 2018 | 13 | |
| 9 | 2009 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2018 | 7 | |
| 13 | 2021 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2021 | 1 | |
| 16 | 2013 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2020 | 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 391 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Ferroptosis and cancer prognosis (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Cancer Cells and Metastasis (2 papers), RNA Research and Splicing (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cancer Research (172 citations), Genetics (48 citations), Oncology (102 citations), Molecular Biology (255 citations) and Reproductive Medicine (31 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, Mong‐Lien Wang, Chi-Shuan Huang, Yueh Chien, Pin‐I Huang, Yi‐Wei Chen, Shou‐Dong Lee, Hsin‐I Ma and Ping‐Hsing Tsai. Their work appears in journals such as International Journal of Molecular Sciences, Phytomedicine, Journal of Clinical Oncology, Cancer Cell International and Oncotarget.
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.