Kaiyi Li
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
- Cancer Cells and Metastasis
- Cancer Research top 5%
Papers in
-
- DNA Repair Mechanisms 21
- Nuclear Structure and Function 5
- Oncology 20
- Cancer-related Molecular Pathways 6
- PARP inhibition in cancer therapy 5
- Cancer Cells and Metastasis 5
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Shiaw‐Yih Lin (22 shared papers)Hui Dai (12 shared papers)Yulong Liang (10 shared papers)Guang Peng (8 shared papers)Stephen J. Elledge (2 shared papers)Rekha Rai (5 shared papers)F. Charles Brunicardi (4 shared papers)Mei‐Ren Pan (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Clinical Oncology (4 papers)Clinical Cancer Research (3 papers)Journal of Biological Chemistry (3 papers)Nature Communications (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Kaiyi Li
65 papers receiving 2.5k citations
Kaiyi Li's Hit Papers
Peers
Comparison fields: 5 of 144
- Oncology 840
- Cancer Research 413
- Molecular Biology 1.8k
- Cell Biology 383
- Genetics 290
Countries citing papers authored by Kaiyi Li
This map shows the geographic impact of Kaiyi Li'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 Kaiyi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiyi Li more than expected).
Fields of papers citing papers by Kaiyi Li
This network shows the impact of papers produced by Kaiyi Li. 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 Kaiyi Li. The network helps show where Kaiyi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiyi Li, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lung cancer organoids analyzed on microwell arrays predict drug responses of patients within a week Hit paper breakdown → | 2021 | 187 |
| 2 | 2009 | 158 | |
| 3 | 2009 | 152 | |
| 4 | 2005 | 135 | |
| 5 | 2008 | 132 | |
| 6 | 2004 | 122 | |
| 7 | 2006 | 118 | |
| 8 | 1997 | 101 | |
| 9 | 2015 | 90 | |
| 10 | Use of RNA interference to target cyclin E-overexpressing hepatocellular carcinoma. | 2003 | 90 |
| 11 | 2008 | 88 | |
| 12 | 2020 | 87 | |
| 13 | 2010 | 87 | |
| 14 | 2012 | 79 | |
| 15 | 2008 | 73 | |
| 16 | 1999 | 60 | |
| 17 | 2016 | 51 | |
| 18 | 2016 | 45 | |
| 19 | 2008 | 44 | |
| 20 | 2022 | 37 |
About Kaiyi Li
Kaiyi Li is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Immunology, having authored 70 papers that have together received 2.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (21 papers), Microtubule and mitosis dynamics (9 papers), Cancer-related Molecular Pathways (6 papers), PARP inhibition in cancer therapy (5 papers), Nuclear Structure and Function (5 papers), Cancer Cells and Metastasis (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Salivary Gland Tumors Diagnosis and Treatment (4 papers). The work is most often cited by research in Oncology (840 citations), Cancer Research (413 citations), Molecular Biology (1.8k citations), Cell Biology (383 citations) and Genetics (290 citations). Kaiyi Li has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Shiaw‐Yih Lin, Hui Dai, Yulong Liang, Guang Peng, Stephen J. Elledge, Rekha Rai, F. Charles Brunicardi, Mei‐Ren Pan, Mien‐Chie Hung and Ruozhen Hu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology, Clinical Cancer Research, Journal of Biological Chemistry and Nature Communications.
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.