Mamie Z. Li

12.5k total citations · 6 hit papers
37 papers, 7.8k citations indexed

About

Mamie Z. Li is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Mamie Z. Li has authored 37 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Epidemiology. Recurrent topics in Mamie Z. Li's work include CRISPR and Genetic Engineering (10 papers), Ubiquitin and proteasome pathways (7 papers) and RNA Interference and Gene Delivery (6 papers). Mamie Z. Li is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), Ubiquitin and proteasome pathways (7 papers) and RNA Interference and Gene Delivery (6 papers). Mamie Z. Li collaborates with scholars based in United States, China and United Kingdom. Mamie Z. Li's co-authors include Stephen J. Elledge, Gregory J. Hannon, Qikai Xu, Sang Yong Kim, Michelle A. Carmell, Emily Bernstein, Heather Alcorn, Elizabeth P. Murchison, Kathryn V. Anderson and Alea A. Mills and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mamie Z. Li

36 papers receiving 7.6k citations

Hit Papers

Dicer is essential for mouse development 2003 2026 2010 2018 2003 2015 2007 2004 2011 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mamie Z. Li United States 28 5.8k 1.8k 966 908 839 37 7.8k
John W. Tobias United States 46 6.1k 1.0× 1.8k 1.0× 1.1k 1.1× 1.1k 1.2× 1.5k 1.8× 111 9.3k
Luis Sánchez‐Pulido Spain 47 4.9k 0.8× 1.9k 1.1× 919 1.0× 575 0.6× 1.5k 1.8× 112 8.0k
Gary A. Silverman United States 37 2.9k 0.5× 1.8k 1.0× 703 0.7× 948 1.0× 884 1.1× 112 6.3k
Sean M. Grimmond Australia 58 8.1k 1.4× 3.0k 1.7× 1.3k 1.3× 796 0.9× 1.3k 1.5× 178 11.0k
Jacek Majewski Canada 56 6.1k 1.1× 1.1k 0.6× 2.9k 3.0× 958 1.1× 689 0.8× 216 9.6k
Jason Wright United States 12 7.9k 1.4× 936 0.5× 1.5k 1.6× 914 1.0× 843 1.0× 16 9.8k
Salvatore Oliviero Italy 45 5.3k 0.9× 1.2k 0.7× 516 0.5× 670 0.7× 1.2k 1.5× 123 7.0k
Claudio Schneider Italy 43 4.4k 0.8× 844 0.5× 473 0.5× 1.4k 1.6× 1.2k 1.4× 79 6.4k
José M.P. Freije Spain 47 6.1k 1.0× 2.1k 1.2× 684 0.7× 475 0.5× 1.6k 1.9× 98 9.2k
Dipanjan Chowdhury United States 49 7.3k 1.3× 2.6k 1.5× 864 0.9× 1.7k 1.9× 2.5k 3.0× 104 9.7k

Countries citing papers authored by Mamie Z. Li

Since Specialization
Citations

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

Fields of papers citing papers by Mamie Z. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamie Z. Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mamie Z. Li. A scholar is included among the top collaborators of Mamie Z. 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 Mamie Z. Li. Mamie Z. 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.
Li, Mamie Z., Iva A. Tchasovnikarova, Michael P. Weekes, et al.. (2026). Proteome-wide C-degron activity profiling connects conditional regulation of the CTLH E3 ligase complex to ribosome biogenesis. bioRxiv (Cold Spring Harbor Laboratory).
2.
Shrock, Ellen, Richard T. Timms, Tomasz Kula, et al.. (2023). Germline-encoded amino acid–binding motifs drive immunodominant public antibody responses. Science. 380(6640). eadc9498–eadc9498. 45 indexed citations
3.
Timms, Richard T., Elijah L. Mena, Yumei Leng, et al.. (2023). Defining E3 ligase–substrate relationships through multiplex CRISPR screening. Nature Cell Biology. 25(10). 1535–1545. 31 indexed citations
4.
Li, Shuo, Nianchao Qian, Chao Jiang, et al.. (2022). Gain-of-function genetic screening identifies the antiviral function of TMEM120A via STING activation. Nature Communications. 13(1). 105–105. 21 indexed citations
5.
Martin, Timothy D., Danielle Cook, Mei Yuk Choi, et al.. (2021). The adaptive immune system is a major driver of selection for tumor suppressor gene inactivation. Science. 373(6561). 1327–1335. 106 indexed citations
6.
Kong, Weili, Tsuyoshi Hayashi, Guillaume Fiches, et al.. (2019). Diversified Application of Barcoded PLATO (PLATO-BC) Platform for Identification of Protein Interactions. Genomics Proteomics & Bioinformatics. 17(3). 319–331. 7 indexed citations
7.
Mina, Michael J., Tomasz Kula, Yumei Leng, et al.. (2019). Measles virus infection diminishes preexisting antibodies that offer protection from other pathogens. Science. 366(6465). 599–606. 251 indexed citations
8.
Heo, Jin‐Mi, João A. Paulo, Mamie Z. Li, et al.. (2019). Integrated proteogenetic analysis reveals the landscape of a mitochondrial-autophagosome synapse during PARK2-dependent mitophagy. Science Advances. 5(11). eaay4624–eaay4624. 60 indexed citations
9.
Martin, Timothy D., Danielle Cook, Mei Yuk Choi, et al.. (2017). A Role for Mitochondrial Translation in Promotion of Viability in K-Ras Mutant Cells. Cell Reports. 20(2). 427–438. 62 indexed citations
10.
Sack, Laura M., Teresa Davoli, Qikai Xu, Mamie Z. Li, & Stephen J. Elledge. (2016). Sources of Error in Mammalian Genetic Screens. G3 Genes Genomes Genetics. 6(9). 2781–2790. 51 indexed citations
11.
Kang, Chanhee, Qikai Xu, Timothy D. Martin, et al.. (2015). The DNA damage response induces inflammation and senescence by inhibiting autophagy of GATA4. Science. 349(6255). aaa5612–aaa5612. 737 indexed citations breakdown →
12.
Xu, George, Tomasz Kula, Qikai Xu, et al.. (2015). Comprehensive serological profiling of human populations using a synthetic human virome. Science. 348(6239). aaa0698–aaa0698. 278 indexed citations breakdown →
13.
Solimini, Nicole L., Qikai Xu, Craig H. Mermel, et al.. (2012). Recurrent Hemizygous Deletions in Cancers May Optimize Proliferative Potential. Science. 337(6090). 104–109. 137 indexed citations
14.
Li, Mamie Z. & Stephen J. Elledge. (2012). SLIC: A Method for Sequence- and Ligation-Independent Cloning. Methods in molecular biology. 852. 51–59. 202 indexed citations
15.
Larman, H. Benjamin, Zhenming Zhao, Uri Laserson, et al.. (2011). Autoantigen discovery with a synthetic human peptidome. Nature Biotechnology. 29(6). 535–541. 212 indexed citations
16.
Schlabach, Michael R., Ji Luo, Nicole L. Solimini, et al.. (2008). Cancer Proliferation Gene Discovery Through Functional Genomics. Science. 319(5863). 620–624. 291 indexed citations
17.
Silva, José M., Mamie Z. Li, Ken C. N. Chang, et al.. (2005). Second-generation shRNA libraries covering the mouse and human genomes. Nature Genetics. 37(11). 1281–1288. 491 indexed citations
18.
Li, Mamie Z. & Stephen J. Elledge. (2005). MAGIC, an in vivo genetic method for the rapid construction of recombinant DNA molecules. Nature Genetics. 37(3). 311–319. 99 indexed citations
19.
Liu, Qinghua, Mamie Z. Li, Dou Liu, & Stephen J. Elledge. (2000). [32] Rapid construction of recombinant DNA by the univector plasmid-fusion system. Methods in enzymology on CD-ROM/Methods in enzymology. 328. 530–549. 25 indexed citations
20.
Liu, Qinghua, et al.. (1998). The univector plasmid-fusion system, a method for rapid construction of recombinant DNA without restriction enzymes. Current Biology. 8(24). 1300–S1. 223 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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