Lin Li

10.5k total citations · 1 hit paper
250 papers, 7.6k citations indexed

About

Lin Li is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Lin Li has authored 250 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Molecular Biology, 57 papers in Oncology and 44 papers in Cancer Research. Recurrent topics in Lin Li's work include RNA modifications and cancer (32 papers), Epigenetics and DNA Methylation (27 papers) and DNA and Nucleic Acid Chemistry (25 papers). Lin Li is often cited by papers focused on RNA modifications and cancer (32 papers), Epigenetics and DNA Methylation (27 papers) and DNA and Nucleic Acid Chemistry (25 papers). Lin Li collaborates with scholars based in China, United States and Canada. Lin Li's co-authors include Yinsheng Wang, Yan Wu, Tiantian Ye, Yanping Wang, Patrick G. Harran, Xiaodong Wang, Lai Wang, Weili Miao, John D. Minna and Michael Peyton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Lin Li

239 papers receiving 7.5k citations

Hit Papers

Electrically pumped waveguide lasing from ZnO nanowires 2011 2026 2016 2021 2011 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Electrically pumped waveguide lasing from ZnO nanowires
    2011 522 citations Lin Li et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Li China 47 4.8k 1.3k 1.2k 695 560 250 7.6k
Min Liu China 44 4.2k 0.9× 1.7k 1.3× 974 0.8× 971 1.4× 438 0.8× 310 6.9k
Carlos Frederico Martins Menck Brazil 44 4.4k 0.9× 1.2k 0.9× 774 0.6× 893 1.3× 528 0.9× 220 7.1k
Feng Liu China 44 3.9k 0.8× 711 0.5× 1.1k 0.9× 604 0.9× 332 0.6× 221 6.8k
Ping‐Kun Zhou China 38 4.6k 0.9× 1.3k 1.0× 1.4k 1.1× 259 0.4× 949 1.7× 286 7.7k
Martin R. Larsen Denmark 59 8.4k 1.7× 791 0.6× 955 0.8× 773 1.1× 487 0.9× 260 13.0k
Wei Liang China 51 4.5k 0.9× 900 0.7× 1.6k 1.3× 697 1.0× 538 1.0× 202 9.6k
Jan Stap Netherlands 31 3.9k 0.8× 1.1k 0.8× 1.3k 1.1× 416 0.6× 817 1.5× 74 6.9k
Ling Cai United States 43 4.9k 1.0× 1.6k 1.2× 1.2k 1.0× 323 0.5× 1.6k 2.9× 194 8.4k
Magnar Bjørås Norway 49 8.5k 1.8× 1.3k 1.0× 842 0.7× 517 0.7× 306 0.5× 233 11.2k
Mian Wu China 56 7.3k 1.5× 3.3k 2.5× 1.4k 1.1× 918 1.3× 363 0.6× 229 10.8k

Countries citing papers authored by Lin Li

Since Specialization
Citations

This map shows the geographic impact of Lin 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 Lin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Li more than expected).

Fields of papers citing papers by Lin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin 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 Lin Li. The network helps show where Lin Li may publish in the future.

Co-authorship network of co-authors of Lin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Li. A scholar is included among the top collaborators of Lin Li 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 Lin Li. Lin Li 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.
2.
Xia, Chun‐hong, Eddie Wang, Lin Li, et al.. (2025). Periaxin gene variants are linked to age-related cataracts in Cx46 deficient lenses. Communications Biology. 8(1). 1356–1356.
3.
4.
Li, Lin, Yuan Chen, Yan Liu, et al.. (2024). Gut microbiota: Implications in pathogenesis and therapy to cardiovascular disease (Review). Experimental and Therapeutic Medicine. 28(5). 427–427. 5 indexed citations
5.
Wang, Xinyue, Xiang Li, Lin Li, et al.. (2023). Nanomodified Switch Induced Precise and Moderate Activation of CAR‐T Cells for Solid Tumors (Adv. Sci. 12/2023). Advanced Science. 10(12). 1 indexed citations
6.
Li, Lin, et al.. (2022). LC-MS/MS for Assessing the Incorporation and Repair of N2-Alkyl-2′-deoxyguanosine in Genomic DNA. Chemical Research in Toxicology. 35(10). 1814–1820. 4 indexed citations
7.
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Tan, Ying, et al.. (2021). DNA Polymerase η Promotes the Transcriptional Bypass of N2-Alkyl-2′-deoxyguanosine Adducts in Human Cells. Journal of the American Chemical Society. 143(39). 16197–16205. 15 indexed citations
9.
Gao, Zi, Preston Williams, Lin Li, & Yinsheng Wang. (2021). A Quantitative Proteomic Approach for the Identification of DNA Guanine Quadruplex-Binding Proteins. Journal of Proteome Research. 20(11). 4919–4924. 7 indexed citations
10.
Miao, Weili, Lin Li, Xiaochuan Liu, et al.. (2020). A Targeted Quantitative Proteomic Method Revealed a Substantial Reprogramming of Kinome during Melanoma Metastasis. Scientific Reports. 10(1). 2485–2485. 5 indexed citations
11.
Yu, Kailin, et al.. (2020). Proteome-wide Interrogation of Small GTPases Regulated by N6-Methyladenosine Modulators. Analytical Chemistry. 92(14). 10145–10152. 10 indexed citations
12.
Guo, Lei, et al.. (2020). Discovery of TBC1D7 as a Potential Driver for Melanoma Cell Invasion. PROTEOMICS. 20(14). e1900347–e1900347. 7 indexed citations
13.
Miao, Weili, Lin Li, & Yinsheng Wang. (2019). High-Throughput Targeted Quantitative Analysis of the Interaction between HSP90 and Kinases. Analytical Chemistry. 91(18). 11507–11509. 5 indexed citations
14.
Wu, Jun, et al.. (2019). The Impact of Minor-Groove N2-Alkyl-2′-deoxyguanosine Lesions on DNA Replication in Human Cells. ACS Chemical Biology. 14(8). 1708–1716. 12 indexed citations
15.
Huang, Ming, et al.. (2018). A Targeted Quantitative Proteomic Approach Assesses the Reprogramming of Small GTPases during Melanoma Metastasis. Cancer Research. 78(18). 5431–5445. 16 indexed citations
16.
Li, Lin & Yinsheng Wang. (2017). Cross-talk between the H3K36me3 and H4K16ac histone epigenetic marks in DNA double-strand break repair. Journal of Biological Chemistry. 292(28). 11951–11959. 62 indexed citations
17.
Zhao, Weina, Sara Prijic, Michael J. Tisza, et al.. (2016). Candidate Antimetastasis Drugs Suppress the Metastatic Capacity of Breast Cancer Cells by Reducing Membrane Fluidity. Cancer Research. 76(7). 2037–2049. 125 indexed citations
18.
Liu, Yu, Lin Li, Shuo Li, et al.. (2010). Study on the Molecular Mechanisms of dlk1 Stimulated Lung Cancer Cell Proliferation. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Crowder, Robert J., Chanpheng Phommaly, Tao Yu, et al.. (2009). PIK3CA and PIK3CB Inhibition Produce Synthetic Lethality when Combined with Estrogen Deprivation in Estrogen Receptor–Positive Breast Cancer. Cancer Research. 69(9). 3955–3962. 174 indexed citations
20.
Li, Lin, Stephan Ryser, Éva Dizin, et al.. (2007). Oncogenic BARD1 Isoforms Expressed in Gynecological Cancers. Cancer Research. 67(24). 11876–11885. 51 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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