Li Lan
Impact in
- Molecular Medicine top 0.5%
- Curcumin's Biomedical Applications
- Molecular Biology top 0.5%
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- DNA Repair Mechanisms 64
- CRISPR and Genetic Engineering 19
- DNA and Nucleic Acid Chemistry 11
- Genomics and Chromatin Dynamics 9
- Oncology 28
- PARP inhibition in cancer therapy 17
- Co-authors
- Akira Yasui (25 shared papers)Razelle Kurzrock (2 shared papers)Lee Zou (15 shared papers)Satoshi Nakajima (27 shared papers)Fadi S. Braiteh (1 shared paper)Satoshi Okano (3 shared papers)Leizhen Wei (18 shared papers)Toshio Mori (3 shared papers)
- Journals
- Nucleic Acids Research (8 papers)Nature Communications (7 papers)Journal of Biological Chemistry (6 papers)Molecular and Cellular Biology (5 papers)Molecular Cell (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Li Lan
153 papers receiving 8.5k citations
Li Lan's Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Medicine 635
- Molecular Biology 6.0k
- Oncology 2.1k
- Cancer Research 1.1k
- Aging 83
Countries citing papers authored by Li Lan
This map shows the geographic impact of Li Lan'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 Li Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Lan more than expected).
Fields of papers citing papers by Li Lan
This network shows the impact of papers produced by Li Lan. 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 Li Lan. The network helps show where Li Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Lan, 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 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Liposome‐encapsulated curcumin Hit paper breakdown → | 2005 | 573 |
| 2 | 2015 | 373 | |
| 3 | 2006 | 332 | |
| 4 | 2007 | 298 | |
| 5 | 2003 | 275 | |
| 6 | 2003 | 275 | |
| 7 | 2004 | 257 | |
| 8 | Sources, resolution and physiological relevance of R-loops and RNA–DNA hybrids Hit paper breakdown → | 2022 | 242 |
| 9 | 2019 | 198 | |
| 10 | 2010 | 170 | |
| 11 | 2015 | 164 | |
| 12 | 2005 | 154 | |
| 13 | 2005 | 145 | |
| 14 | 2020 | 143 | |
| 15 | 2015 | 139 | |
| 16 | 2006 | 138 | |
| 17 | 2018 | 137 | |
| 18 | 2015 | 127 | |
| 19 | 2022 | 123 | |
| 20 | 2015 | 123 |
About Li Lan
Li Lan is a scholar working on Molecular Biology, Oncology, Cancer Research, Plant Science and Physiology, having authored 157 papers that have together received 8.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (64 papers), CRISPR and Genetic Engineering (19 papers), PARP inhibition in cancer therapy (17 papers), Carcinogens and Genotoxicity Assessment (12 papers), Telomeres, Telomerase, and Senescence (12 papers), DNA and Nucleic Acid Chemistry (11 papers), Plant Genetic and Mutation Studies (10 papers) and Genomics and Chromatin Dynamics (9 papers). The work is most often cited by research in Molecular Medicine (635 citations), Molecular Biology (6.0k citations), Oncology (2.1k citations), Cancer Research (1.1k citations) and Aging (83 citations). Li Lan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Akira Yasui, Razelle Kurzrock, Lee Zou, Satoshi Nakajima, Fadi S. Braiteh, Satoshi Okano, Leizhen Wei, Toshio Mori, Keith W. Caldecott and Jian Ouyang. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Journal of Biological Chemistry, Molecular and Cellular Biology and Molecular Cell.
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.