Henry H. Lee

2.4k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

Henry H. Lee is a scholar working on Molecular Biology, Computational Theory and Mathematics and Ecology. According to data from OpenAlex, Henry H. Lee has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Ecology. Recurrent topics in Henry H. Lee's work include Bacteriophages and microbial interactions (2 papers), CRISPR and Genetic Engineering (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Henry H. Lee is often cited by papers focused on Bacteriophages and microbial interactions (2 papers), CRISPR and Genetic Engineering (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Henry H. Lee collaborates with scholars based in United States, Switzerland and United Kingdom. Henry H. Lee's co-authors include James J. Collins, Charles R. Cantor, Michael Molla, Catherine S. Spina, George M. Church, Nili Ostrov, Jean Bolot, Reza Kalhor, Naveen Goela and Brandon G. Wong and has published in prestigious journals such as Nature, Nature Communications and Nature Chemical Biology.

In The Last Decade

Henry H. Lee

9 papers receiving 1.5k citations

Hit Papers

Antibiotic treatment expands the resistance reservoir and... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henry H. Lee United States 9 1.0k 378 324 233 222 9 1.5k
Rita Zilhão Portugal 22 685 0.7× 450 1.2× 524 1.6× 161 0.7× 238 1.1× 33 1.2k
Zhihui Cheng China 21 760 0.8× 194 0.5× 374 1.2× 217 0.9× 467 2.1× 100 1.6k
Leigh G. Monahan Australia 18 1.0k 1.0× 472 1.2× 518 1.6× 155 0.7× 210 0.9× 26 1.7k
Gudrun Koch Germany 15 1.2k 1.1× 160 0.4× 441 1.4× 207 0.9× 321 1.4× 18 1.5k
Bálint Csörgő Hungary 19 1.3k 1.3× 308 0.8× 794 2.5× 76 0.3× 345 1.6× 24 1.9k
Roman Popat United Kingdom 14 758 0.8× 165 0.4× 408 1.3× 135 0.6× 206 0.9× 15 1.2k
Irit Levin-Reisman Israel 9 782 0.8× 201 0.5× 619 1.9× 203 0.9× 517 2.3× 10 1.6k
Yue Shan China 15 734 0.7× 142 0.4× 433 1.3× 165 0.7× 275 1.2× 44 1.3k
Gabriel Billings United States 10 752 0.7× 261 0.7× 398 1.2× 122 0.5× 116 0.5× 10 1.2k
Ofer Fridman Israel 7 939 0.9× 248 0.7× 671 2.1× 348 1.5× 614 2.8× 8 1.9k

Countries citing papers authored by Henry H. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Henry H. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henry H. Lee

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

All Works

9 of 9 papers shown
1.
Ping, Zhi, Shihong Chen, Guangyu Zhou, et al.. (2022). Towards practical and robust DNA-based data archiving using the yin–yang codec system. Nature Computational Science. 2(4). 234–242. 77 indexed citations
2.
West, Anthony P., Joel O. Wertheim, Jade Wang, et al.. (2021). Detection and characterization of the SARS-CoV-2 lineage B.1.526 in New York. Nature Communications. 12(1). 4886–4886. 66 indexed citations
3.
Lee, Henry H., et al.. (2019). Functional genomics of the rapidly replicating bacterium Vibrio natriegens by CRISPRi. Nature Microbiology. 4(7). 1105–1113. 153 indexed citations
4.
Lee, Henry H., Reza Kalhor, Naveen Goela, Jean Bolot, & George M. Church. (2019). Terminator-free template-independent enzymatic DNA synthesis for digital information storage. Nature Communications. 10(1). 2383–2383. 169 indexed citations
5.
Wiegand, Daniel J., Henry H. Lee, Nili Ostrov, & George M. Church. (2019). Cell-free Protein Expression Using the Rapidly Growing Bacterium <em>Vibrio natriegens</em>. Journal of Visualized Experiments. 17 indexed citations
6.
Wiegand, Daniel J., Henry H. Lee, Nili Ostrov, & George M. Church. (2018). Establishing a Cell-Free Vibrio natriegens Expression System. ACS Synthetic Biology. 7(10). 2475–2479. 64 indexed citations
7.
Lee, Henry H., et al.. (2013). Antibiotic treatment expands the resistance reservoir and ecological network of the phage metagenome. Nature. 499(7457). 219–222. 404 indexed citations breakdown →
8.
Lee, Henry H. & James J. Collins. (2011). Microbial environments confound antibiotic efficacy. Nature Chemical Biology. 8(1). 6–9. 112 indexed citations
9.
Lee, Henry H., Michael Molla, Charles R. Cantor, & James J. Collins. (2010). Bacterial charity work leads to population-wide resistance. Nature. 467(7311). 82–85. 461 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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