Yemin Lan

5.9k total citations
49 papers, 2.6k citations indexed

About

Yemin Lan is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Yemin Lan has authored 49 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 11 papers in Genetics and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Yemin Lan's work include Genomics and Chromatin Dynamics (16 papers), Epigenetics and DNA Methylation (16 papers) and RNA Research and Splicing (8 papers). Yemin Lan is often cited by papers focused on Genomics and Chromatin Dynamics (16 papers), Epigenetics and DNA Methylation (16 papers) and RNA Research and Splicing (8 papers). Yemin Lan collaborates with scholars based in United States, China and Germany. Yemin Lan's co-authors include Gail Rosen, Shelley L. Berger, Greg Donahue, Qiong Wang, James R. Cole, Rulang Jiang, Gerry Weinmaster, Thomas Gridley, Carrie J. Shawber and Catherine Norton and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Yemin Lan

48 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yemin Lan United States 26 1.9k 446 283 209 144 49 2.6k
Asta Laiho Finland 25 1.8k 0.9× 476 1.1× 262 0.9× 187 0.9× 136 0.9× 65 2.7k
Peter L. Jones United States 34 2.6k 1.4× 763 1.7× 168 0.6× 195 0.9× 267 1.9× 64 3.6k
Jie Jiang United States 23 2.1k 1.1× 317 0.7× 178 0.6× 160 0.8× 200 1.4× 80 3.2k
Marco Morselli United States 22 999 0.5× 202 0.5× 155 0.5× 139 0.7× 227 1.6× 63 1.7k
Rafael Garesse Spain 30 2.1k 1.1× 407 0.9× 273 1.0× 72 0.3× 103 0.7× 106 2.8k
Ioannis P. Nezis United Kingdom 33 1.9k 1.0× 210 0.5× 426 1.5× 268 1.3× 446 3.1× 72 3.9k
John Reece-Hoyes United States 32 2.8k 1.4× 475 1.1× 98 0.3× 375 1.8× 152 1.1× 57 3.4k
Runsheng Li China 29 1.4k 0.7× 303 0.7× 210 0.7× 237 1.1× 485 3.4× 114 3.1k
Jacques Montagne France 22 1.7k 0.9× 380 0.9× 221 0.8× 163 0.8× 563 3.9× 42 2.9k
Yavuz Ariyürek Netherlands 25 1.8k 0.9× 530 1.2× 101 0.4× 380 1.8× 121 0.8× 40 2.5k

Countries citing papers authored by Yemin Lan

Since Specialization
Citations

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

Fields of papers citing papers by Yemin Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yemin Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Yemin Lan. A scholar is included among the top collaborators of Yemin 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 Yemin Lan. Yemin 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.
Zhao, Chunyan, Huawei He, Xiang‐Guo Meng, et al.. (2025). Clinical Characteristics Analysis of 30 Cases of Interferon-γ Autoantibody-Positive Patients with Concurrent Mycobacterial Infection: A 6-Year Retrospective Study. Infection and Drug Resistance. Volume 18. 1097–1110.
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Vrooman, Lisa A., Yemin Lan, Teri Ord, et al.. (2023). Trophectoderm biopsy of blastocysts following IVF and embryo culture increases epigenetic dysregulation in a mouse model. Human Reproduction. 39(1). 154–176. 8 indexed citations
4.
Sen, Payel, Greg Donahue, Gabor Egervári, et al.. (2023). Spurious intragenic transcription is a feature of mammalian cellular senescence and tissue aging. Nature Aging. 3(4). 402–417. 17 indexed citations
5.
Luppino, Jennifer M., Andrew R. Field, Son C. Nguyen, et al.. (2022). Co-depletion of NIPBL and WAPL balance cohesin activity to correct gene misexpression. PLoS Genetics. 18(11). e1010528–e1010528. 8 indexed citations
6.
Swisa, Avital, Elisabetta Manduchi, Yemin Lan, et al.. (2022). H3K27me3 Demethylases Maintain the Transcriptional and Epigenomic Landscape of the Intestinal Epithelium. Cellular and Molecular Gastroenterology and Hepatology. 15(4). 821–839. 2 indexed citations
7.
Berríos, Kiara N., Niklaus H. Evitt, Diqiu Ren, et al.. (2021). Controllable genome editing with split-engineered base editors. Nature Chemical Biology. 17(12). 1262–1270. 30 indexed citations
8.
Lan, Xianjiang, Ren Ren, Ruopeng Feng, et al.. (2020). ZNF410 Uniquely Activates the NuRD Component CHD4 to Silence Fetal Hemoglobin Expression. Blood. 136(Supplement 1). 54–54. 2 indexed citations
9.
Lan, Xianjiang, Ren Ren, Ruopeng Feng, et al.. (2020). ZNF410 Uniquely Activates the NuRD Component CHD4 to Silence Fetal Hemoglobin Expression. Molecular Cell. 81(2). 239–254.e8. 60 indexed citations
10.
Reizel, Yitzhak, Ashleigh Morgan, Long Gao, et al.. (2020). Collapse of the hepatic gene regulatory network in the absence of FoxA factors. Genes & Development. 34(15-16). 1039–1050. 35 indexed citations
11.
Luppino, Jennifer M., et al.. (2020). Cohesin promotes stochastic domain intermingling to ensure proper regulation of boundary-proximal genes. Nature Genetics. 52(8). 840–848. 74 indexed citations
12.
Nativio, Raffaella, Yemin Lan, Greg Donahue, et al.. (2020). Author Correction: An integrated multi-omics approach identifies epigenetic alterations associated with Alzheimer’s disease. Nature Genetics. 52(11). 1266–1266. 6 indexed citations
13.
Evitt, Niklaus H., Zhendong Cao, Elizabeth Freilich, et al.. (2020). High-performance CRISPR-Cas12a genome editing for combinatorial genetic screening. Nature Communications. 11(1). 3455–3455. 79 indexed citations
14.
Fang, Yang, Yemin Lan, Radha Raman Pandey, et al.. (2020). TEX15 associates with MILI and silences transposable elements in male germ cells. Genes & Development. 34(11-12). 745–750. 34 indexed citations
15.
Nativio, Raffaella, Yemin Lan, Greg Donahue, et al.. (2020). An integrated multi-omics approach identifies epigenetic alterations associated with Alzheimer’s disease. Nature Genetics. 52(10). 1024–1035. 237 indexed citations
16.
Hu, Yi, Jon G. Sanders, Piotr Łukasik, et al.. (2018). Herbivorous turtle ants obtain essential nutrients from a conserved nitrogen-recycling gut microbiome. Nature Communications. 9(1). 964–964. 126 indexed citations
17.
Nativio, Raffaella, Greg Donahue, Amit Berson, et al.. (2018). Publisher Correction: Dysregulation of the epigenetic landscape of normal aging in Alzheimer’s disease. Nature Neuroscience. 21(7). 1018–1018. 13 indexed citations
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Lan, Yemin, et al.. (2013). POGO-DB—a database of pairwise-comparisons of genomes and conserved orthologous genes. Nucleic Acids Research. 42(D1). D625–D632. 17 indexed citations
20.
Jiang, Rulang, Yemin Lan, H.D. Chapman, et al.. (1998). Defects in limb, craniofacial, and thymic development in Jagged2 mutant mice. Genes & Development. 12(7). 1046–1057. 338 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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