Michael E. Lee

2.6k total citations · 2 hit papers
5 papers, 1.8k citations indexed

About

Michael E. Lee is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Michael E. Lee has authored 5 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Computational Theory and Mathematics. Recurrent topics in Michael E. Lee's work include Fungal and yeast genetics research (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA and protein synthesis mechanisms (2 papers). Michael E. Lee is often cited by papers focused on Fungal and yeast genetics research (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA and protein synthesis mechanisms (2 papers). Michael E. Lee collaborates with scholars based in United States. Michael E. Lee's co-authors include John E. Dueber, William C. DeLoache, Bernardo Cervantes, Jordan C. Tsai, Jonathan S. Weissman, Jesse G. Zalatan, Marie La Russa, Luke A. Gilbert, Lei S. Qi and Evan H. Whitehead and has published in prestigious journals such as Cell, Nucleic Acids Research and eLife.

In The Last Decade

Michael E. Lee

5 papers receiving 1.8k citations

Hit Papers

align trajectories

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.

Engineering Complex Synthetic Transcriptional Programs with CRISPR RNA Scaffolds

2014 734 citations Jesse G. Zalatan, Michael E. Lee et al. Cell profile →
A Highly Characterized Yeast Toolkit for Modular, Multipart Assembly

2015 599 citations Michael E. Lee, William C. DeLoache et al. ACS Synthetic Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael E. Lee United States	5	1.7k	228	167	162	143	5	1.8k
Jordan C. Tsai United States	11	1.8k 1.0×	165 0.7×	244 1.5×	201 1.2×	131 0.9×	13	2.0k
Tadas Jakočiūnas Denmark	15	1.2k 0.7×	144 0.6×	197 1.2×	84 0.5×	124 0.9×	23	1.3k
Owen Ryan United States	12	2.0k 1.2×	234 1.0×	122 0.7×	351 2.2×	43 0.3×	13	2.1k
Zehua Bao United States	11	824 0.5×	109 0.5×	139 0.8×	67 0.4×	68 0.5×	17	885
Ran Chao United States	13	1.0k 0.6×	162 0.7×	388 2.3×	58 0.4×	80 0.6×	17	1.2k
Ramona Gruetzner Germany	7	2.2k 1.3×	400 1.8×	152 0.9×	1.1k 6.5×	305 2.1×	8	2.7k
Vratislav Šťovíček Denmark	12	761 0.4×	87 0.4×	202 1.2×	102 0.6×	93 0.7×	16	860
Chunbo Lou China	19	1.5k 0.9×	342 1.5×	257 1.5×	102 0.6×	133 0.9×	51	1.8k
Marta Vázquez‐Vilar Spain	17	965 0.6×	89 0.4×	37 0.2×	541 3.3×	284 2.0×	32	1.1k

Countries citing papers authored by Michael E. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Michael E. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Lee. 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 Michael E. Lee. The network helps show where Michael E. Lee may publish in the future.

Co-authorship network of co-authors of Michael E. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Lee. A scholar is included among the top collaborators of Michael E. Lee 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 Michael E. Lee. Michael E. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Lee, Michael E., William C. DeLoache, Bernardo Cervantes, & John E. Dueber. (2015). A Highly Characterized Yeast Toolkit for Modular, Multipart Assembly. ACS Synthetic Biology. 4(9). 975–986. 599 indexed citations breakdown →

2.

Zalatan, Jesse G., Michael E. Lee, Ricardo Almeida, et al.. (2014). Engineering Complex Synthetic Transcriptional Programs with CRISPR RNA Scaffolds. Cell. 160(1-2). 339–350. 734 indexed citations breakdown →

3.

Ryan, Owen, Jeffrey M. Skerker, Xin Li, et al.. (2014). Selection of chromosomal DNA libraries using a multiplex CRISPR system. eLife. 3. 287 indexed citations

4.

Lee, Michael E., et al.. (2013). Expression-level optimization of a multi-enzyme pathway in the absence of a high-throughput assay. Nucleic Acids Research. 41(22). 10668–10678. 174 indexed citations

5.

Blake, William J., et al.. (2010). Pairwise selection assembly for sequence-independent construction of long-length DNA. Nucleic Acids Research. 38(8). 2594–2602. 34 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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