Lanlan Shen

14.3k total citations · 1 hit paper
131 papers, 10.6k citations indexed

About

Lanlan Shen is a scholar working on Molecular Biology, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Lanlan Shen has authored 131 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 21 papers in Materials Chemistry and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Lanlan Shen's work include Epigenetics and DNA Methylation (76 papers), Cancer-related gene regulation (30 papers) and RNA modifications and cancer (28 papers). Lanlan Shen is often cited by papers focused on Epigenetics and DNA Methylation (76 papers), Cancer-related gene regulation (30 papers) and RNA modifications and cancer (28 papers). Lanlan Shen collaborates with scholars based in United States, China and Japan. Lanlan Shen's co-authors include Jean‐Pierre J. Issa, Yutaka Kondo, Saira Ahmed, Jaroslav Jelı́nek, Stanley R. Hamilton, Hagop M. Kantarjian, Yi Guo, Robert A. Waterland, Marcos R. Estecio and Han Y. H. Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Lanlan Shen

122 papers receiving 10.4k citations

Hit Papers

Decitabine improves patient outcomes in myelodysplastic s... 2006 2026 2012 2019 2006 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lanlan Shen United States 55 7.7k 1.7k 1.7k 1.5k 1.3k 131 10.6k
Sharon A. Savage United States 54 5.7k 0.7× 1.9k 1.1× 1.9k 1.1× 1.1k 0.7× 1.6k 1.2× 245 11.6k
Moin A. Saleem United Kingdom 67 5.8k 0.8× 758 0.4× 737 0.4× 553 0.4× 1.8k 1.4× 324 14.4k
Klaus Okkenhaug United Kingdom 55 7.0k 0.9× 3.1k 1.8× 2.2k 1.3× 718 0.5× 752 0.6× 119 14.4k
Pablo Menéndez Spain 52 5.1k 0.7× 1.4k 0.8× 922 0.6× 1.2k 0.8× 569 0.5× 233 8.1k
Bruce D. Gelb United States 62 10.2k 1.3× 2.5k 1.5× 983 0.6× 505 0.3× 2.0k 1.6× 210 14.6k
Bjørn Tore Gjertsen Norway 50 4.8k 0.6× 2.0k 1.2× 876 0.5× 2.4k 1.6× 435 0.3× 291 9.2k
Duanqing Pei China 65 9.0k 1.2× 3.0k 1.8× 3.4k 2.1× 1.2k 0.8× 1.2k 0.9× 259 14.2k
Motowo Nakajima Japan 54 5.9k 0.8× 2.7k 1.6× 2.2k 1.4× 649 0.4× 521 0.4× 225 10.3k
Levon M. Khachigian Australia 54 6.2k 0.8× 1.1k 0.6× 1.7k 1.0× 538 0.4× 533 0.4× 207 9.9k
Christopher M. Counter United States 53 10.1k 1.3× 3.2k 1.9× 1.6k 1.0× 321 0.2× 1.5k 1.2× 117 16.2k

Countries citing papers authored by Lanlan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Lanlan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanlan Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Lanlan Shen. A scholar is included among the top collaborators of Lanlan Shen 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 Lanlan Shen. Lanlan Shen 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.
Yang, Li, Patricia Garrido Castro, Neda Zarrin‐Khameh, et al.. (2025). DNA methylation profiling at base-pair resolution reveals unique epigenetic features of early-onset colorectal cancer in underrepresented populations. Clinical Epigenetics. 17(1). 11–11. 2 indexed citations
2.
He, Yijin, Yuzhang Liang, Yuqi Du, et al.. (2025). Compact nanohole/disk array-based plasmonic fiber-optic end-facet sensing probe: batch preparation and performance determination. Chinese Optics Letters. 23(6). 63601–63601.
4.
Wang, Jue, Song Wang, Yuefeng Wang, et al.. (2024). Multi-Omics Sequencing Unveils Tumor Microenvironment Remodeling Induced by Combined Radiotherapy and Immunotherapy in Microsatellite-Stable Locally Advanced Rectal Cancer. International Journal of Radiation Oncology*Biology*Physics. 120(2). e492–e492. 1 indexed citations
5.
Chen, Fengju, et al.. (2024). The DNA methylome of pediatric brain tumors appears shaped by structural variation and predicts survival. Nature Communications. 15(1). 6775–6775. 4 indexed citations
6.
Gao, Xia, et al.. (2024). Dietary Folate and Cofactors Accelerate Age-dependent p16 Epimutation to Promote Intestinal Tumorigenesis. Cancer Research Communications. 4(1). 164–169. 1 indexed citations
8.
Zhou, Haijun, Yong Lin, J Heim, et al.. (2020). Predict multicategory causes of death in lung cancer patients using clinicopathologic factors. Computers in Biology and Medicine. 129. 104161–104161. 17 indexed citations
9.
Rienzi, Sara C. Di, Vinicius Carreira, Elizabeth A. Maier, et al.. (2018). Murine Methyl Donor Deficiency Impairs Early Growth in Association with Dysmorphic Small Intestinal Crypts and Reduced Gut Microbial Community Diversity. Current Developments in Nutrition. 3(1). nzy070–nzy070. 11 indexed citations
10.
Sakamori, Ryotaro, Shiyan Yu, Xiao Zhang, et al.. (2014). CDC42 Inhibition Suppresses Progression of Incipient Intestinal Tumors. Cancer Research. 74(19). 5480–5492. 44 indexed citations
11.
Wallace, Kristin, Maria V. Grau, A. Joan Levine, et al.. (2010). Association between Folate Levels and CpG Island Hypermethylation in Normal Colorectal Mucosa. Cancer Prevention Research. 3(12). 1552–1564. 88 indexed citations
12.
Stadler, Bradford, Irena L. Ivanovska, Kshama Mehta, et al.. (2010). Characterization of microRNAs Involved in Embryonic Stem Cell States. Stem Cells and Development. 19(7). 935–950. 123 indexed citations
13.
Konishi, Kazuo, Lanlan Shen, Jaroslav Jelı́nek, et al.. (2009). Concordant DNA Methylation in Synchronous Colorectal Carcinomas. Cancer Prevention Research. 2(9). 814–822. 37 indexed citations
14.
Chung, Woonbok, Bernard Kwabi‐Addo, Michael Ittmann, et al.. (2008). Identification of Novel Tumor Markers in Prostate, Colon and Breast Cancer by Unbiased Methylation Profiling. PLoS ONE. 3(5). 15 indexed citations
15.
Shen, Lanlan, Yutaka Kondo, Saira Ahmed, et al.. (2007). Drug Sensitivity Prediction by CpG Island Methylation Profile in the NCI-60 Cancer Cell Line Panel. Cancer Research. 67(23). 11335–11343. 87 indexed citations
16.
Wang, Jie, Manisha Bhutani, Ashutosh Pathak, et al.. (2007). ΔDNMT3B Variants Regulate DNA Methylation in a Promoter-Specific Manner. Cancer Research. 67(22). 10647–10652. 47 indexed citations
17.
Boumber, Yanis, Yutaka Kondo, Xuqi Chen, et al.. (2007). RIL , a LIM Gene on 5q31, Is Silenced by Methylation in Cancer and Sensitizes Cancer Cells to Apoptosis. Cancer Research. 67(5). 1997–2005. 56 indexed citations
18.
Estecio, Marcos R., Vazganush Gharibyan, Lanlan Shen, et al.. (2007). LINE-1 Hypomethylation in Cancer Is Highly Variable and Inversely Correlated with Microsatellite Instability. PLoS ONE. 2(5). e399–e399. 220 indexed citations
19.
Shu, Jingmin, Jaroslav Jelı́nek, Hao Chang, et al.. (2006). Silencing of Bidirectional Promoters by DNA Methylation in Tumorigenesis. Cancer Research. 66(10). 5077–5084. 80 indexed citations
20.
Yang, Allen S., Sang‐Woon Choi, Joel B. Mason, et al.. (2006). DNA Methylation Changes after 5-Aza-2′-Deoxycytidine Therapy in Patients with Leukemia. Cancer Research. 66(10). 5495–5503. 211 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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