Li Lan

10.6k total citations · 3 hit papers
156 papers, 8.2k citations indexed

About

Li Lan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Li Lan has authored 156 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Molecular Biology, 34 papers in Oncology and 22 papers in Cancer Research. Recurrent topics in Li Lan's work include DNA Repair Mechanisms (66 papers), CRISPR and Genetic Engineering (19 papers) and PARP inhibition in cancer therapy (19 papers). Li Lan is often cited by papers focused on DNA Repair Mechanisms (66 papers), CRISPR and Genetic Engineering (19 papers) and PARP inhibition in cancer therapy (19 papers). Li Lan collaborates with scholars based in China, United States and Japan. Li Lan's co-authors include Akira Yasui, Razelle Kurzrock, Lee Zou, Satoshi Nakajima, Fadi S. Braiteh, Satoshi Okano, Leizhen Wei, Toshio Mori, Keith W. Caldecott and Tribhuwan Yadav and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Li Lan

150 papers receiving 8.1k citations

Hit Papers

Liposome‐encapsulated curcumin 2005 2026 2012 2019 2005 2015 2022 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Li Lan China 50 6.1k 2.1k 1.1k 891 609 156 8.2k
Ulrich Pfeffer Italy 41 3.6k 0.6× 1.3k 0.6× 1.2k 1.1× 860 1.0× 387 0.6× 143 6.3k
Xingming Deng United States 52 5.5k 0.9× 1.8k 0.9× 1.0k 0.9× 641 0.7× 158 0.3× 103 7.4k
Dejuan Kong United States 50 6.2k 1.0× 3.1k 1.5× 3.6k 3.3× 546 0.6× 319 0.5× 100 9.0k
Gabriella D’Orazi Italy 43 3.8k 0.6× 2.3k 1.1× 1.5k 1.4× 661 0.7× 161 0.3× 131 6.3k
Jeremy J.W. Chen Taiwan 40 3.8k 0.6× 1.5k 0.7× 1.2k 1.1× 967 1.1× 221 0.4× 141 6.4k
Shi‐Yong Sun United States 56 7.2k 1.2× 2.7k 1.3× 1.5k 1.3× 1.2k 1.3× 132 0.2× 203 9.5k
Jie Wu United States 48 6.0k 1.0× 1.8k 0.8× 777 0.7× 1.5k 1.7× 125 0.2× 127 8.4k
Linda S. Steelman United States 49 7.5k 1.2× 3.3k 1.6× 1.9k 1.7× 990 1.1× 111 0.2× 112 11.2k
Feng Li China 46 5.1k 0.8× 1.8k 0.8× 1.9k 1.7× 563 0.6× 95 0.2× 233 7.5k
Elizaveta Freinkman United States 35 5.7k 0.9× 939 0.4× 3.0k 2.7× 571 0.6× 226 0.4× 40 8.1k

Countries citing papers authored by Li Lan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Li Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Li Lan. A scholar is included among the top collaborators of Li Lan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li Lan. Li Lan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Juan, Na Zhang, Wenjing Ren, et al.. (2025). Effect of chronic intermittent hypoxia on hippocampal lipid metabolism in mice: A targeted lipidomics study. Brain Research Bulletin. 224. 111319–111319.
2.
Wang, Lei, Wenzhuo He, Yu Hou, et al.. (2025). Previous treatment decreases efficacy of pralsetinib in RET fusion-positive non-small-cell lung cancer. Frontiers in Medicine. 12. 1467871–1467871.
3.
Lan, Li, Zejian Wang, Ali Mohsin, & Yingping Zhuang. (2025). Enhanced Glutathione Production in Saccharomyces cerevisiae by High-Throughput Screening System Based on Atmospheric and Room Temperature Plasma (ARTP) Mutagenesis. Fermentation. 11(4). 220–220. 1 indexed citations
4.
Yang, Yiran, Dan Li, Yuan Deng, et al.. (2025). NSUN2/ALYREF axis-driven m5C methylation enhances PD-L1 expression and facilitates immune evasion in non-small-cell lung cancer. Cancer Immunology Immunotherapy. 74(4). 132–132. 6 indexed citations
5.
Yang, Juan, Lu Xiao, Li Lan, et al.. (2025). VSTM2L protects prostate cancer cells against ferroptosis via inhibiting VDAC1 oligomerization and maintaining mitochondria homeostasis. Nature Communications. 16(1). 1160–1160. 5 indexed citations
6.
Feng, Chao, et al.. (2023). GLUT1 Mediates the Metabolic Reprogramming and Inflammation of CCR2+ Monocytes/Macrophages from Patients with DCM. Frontiers in Bioscience-Landmark. 28(9). 223–223. 9 indexed citations
7.
Yang, Haibo, Xiaojuan Ran, Parasvi S. Patel, et al.. (2023). The RNA m5C modification in R-loops as an off switch of Alt-NHEJ. Nature Communications. 14(1). 6114–6114. 22 indexed citations
8.
Petermann, Eva, Li Lan, & Lee Zou. (2022). Sources, resolution and physiological relevance of R-loops and RNA–DNA hybrids. Nature Reviews Molecular Cell Biology. 23(8). 521–540. 223 indexed citations breakdown →
9.
Lan, Li, et al.. (2022). Efficacy and Safety of Ultrafiltration in Patients with Heart Failure: A Single-Center Experience. Advances in Therapy. 39(10). 4523–4532. 2 indexed citations
10.
Yang, Haibo, Yumin Wang, Yufei Xiang, et al.. (2022). FMRP promotes transcription-coupled homologous recombination via facilitating TET1-mediated m5C RNA modification demethylation. Proceedings of the National Academy of Sciences. 119(12). e2116251119–e2116251119. 102 indexed citations
11.
Petermann, Eva, Li Lan, & Lee Zou. (2022). Author Correction: Sources, resolution and physiological relevance of R-loops and RNA–DNA hybrids. Nature Reviews Molecular Cell Biology. 23(6). 444–444. 4 indexed citations
12.
Mallampalli, Rama K., Xiuying Li, Jun-Ho Jang, et al.. (2020). Cigarette smoke exposure enhances transforming acidic coiled-coil–containing protein 2 turnover and thereby promotes emphysema. JCI Insight. 5(2). 17 indexed citations
13.
Chen, Hao, Jiamin Zhang, Yumin Wang, et al.. (2020). cGAS suppresses genomic instability as a decelerator of replication forks. Science Advances. 6(42). 100 indexed citations
14.
Geng, Anke, Jin Huang, Zhen Qian, et al.. (2020). The deacetylase SIRT6 promotes the repair of UV-induced DNA damage by targeting DDB2. Nucleic Acids Research. 48(16). 9181–9194. 48 indexed citations
15.
Wang, Feifei, et al.. (2019). Phosphatase 1 Nuclear Targeting Subunit Mediates Recruitment and Function of Poly (ADP-Ribose) Polymerase 1 in DNA Repair. Cancer Research. 79(10). 2526–2535. 14 indexed citations
16.
Shen, Jianfeng, Yang Peng, Leizhen Wei, et al.. (2015). ARID1A Deficiency Impairs the DNA Damage Checkpoint and Sensitizes Cells to PARP Inhibitors. Cancer Discovery. 5(7). 752–767. 358 indexed citations breakdown →
17.
Zhang, Xifeng, Junjie Wang, Yuan-Chao Sun, et al.. (2015). Activin A Accelerates the Progression of Fetal Oocytes Throughout Meiosis and Early Oogenesis in the Mouse. Stem Cells and Development. 24(20). 2455–2465. 22 indexed citations
18.
Wei, Leizhen, Li Lan, Akira Yasui, et al.. (2011). BRCA1 contributes to transcription‐coupled repair of DNA damage through polyubiquitination and degradation of Cockayne syndrome B protein. Cancer Science. 102(10). 1840–1847. 40 indexed citations
19.
Lan, Li. (2009). Study on the Chemical Compositions of Os Sepiae.
20.
Lan, Li, Satoshi Nakajima, Kenshi Komatsu, et al.. (2005). Accumulation of Werner protein at DNA double-strand breaks in human cells. Journal of Cell Science. 118(18). 4153–4162. 111 indexed citations

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.

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