Michael S. Packer

13.1k total citations · 6 hit papers
18 papers, 9.0k citations indexed

About

Michael S. Packer is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Michael S. Packer has authored 18 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Genetics. Recurrent topics in Michael S. Packer's work include CRISPR and Genetic Engineering (12 papers), RNA and protein synthesis mechanisms (5 papers) and Virus-based gene therapy research (4 papers). Michael S. Packer is often cited by papers focused on CRISPR and Genetic Engineering (12 papers), RNA and protein synthesis mechanisms (5 papers) and Virus-based gene therapy research (4 papers). Michael S. Packer collaborates with scholars based in United States, Australia and France. Michael S. Packer's co-authors include David R. Liu, Alexis C. Komor, John A. Zuris, Nicole M. Gaudelli, Ahmed H. Badran, Holly A. Rees, David I. Bryson, Kevin T. Zhao, Jonathan M. Levy and Luke W. Koblan and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael S. Packer

18 papers receiving 8.8k citations

Hit Papers

Programmable editing of a target base in genomic DNA with... 2015 2026 2018 2022 2016 2017 2015 2017 2017 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael S. Packer United States 14 8.4k 2.3k 1.3k 748 532 18 9.0k
Luke W. Koblan United States 15 7.5k 0.9× 2.3k 1.0× 1.1k 0.9× 626 0.8× 402 0.8× 19 8.0k
Gregory A. Newby United States 30 8.0k 1.0× 2.4k 1.0× 1.1k 0.9× 615 0.8× 330 0.6× 59 8.7k
Alexis C. Komor United States 18 9.1k 1.1× 2.5k 1.1× 1.3k 1.0× 860 1.1× 607 1.1× 41 9.9k
Holly A. Rees United States 17 7.1k 0.9× 1.9k 0.8× 875 0.7× 679 0.9× 410 0.8× 18 7.5k
Hiroshi Nishimasu Japan 42 9.4k 1.1× 1.4k 0.6× 1.3k 1.0× 882 1.2× 564 1.1× 89 10.4k
Julie E. Norville United States 8 8.2k 1.0× 1.8k 0.8× 911 0.7× 540 0.7× 483 0.9× 12 8.9k
Benjamin P. Kleinstiver United States 28 8.4k 1.0× 1.9k 0.8× 1.0k 0.8× 1.0k 1.4× 671 1.3× 66 8.7k
Aditya Raguram United States 19 6.6k 0.8× 1.9k 0.8× 1.2k 0.9× 531 0.7× 311 0.6× 23 7.2k
Sangsu Bae South Korea 34 6.5k 0.8× 1.4k 0.6× 1.2k 1.0× 664 0.9× 419 0.8× 112 7.1k

Countries citing papers authored by Michael S. Packer

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Packer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Packer

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

All Works

18 of 18 papers shown
1.
Smekalova, Elena M., María Guadalupe Martínez, Emmanuel Combe, et al.. (2023). Cytosine base editing inhibits hepatitis B virus replication and reduces HBsAg expression in vitro and in vivo. Molecular Therapy — Nucleic Acids. 35(1). 102112–102112. 18 indexed citations
2.
Packer, Michael S., Yvonne Aratyn-Schaus, Dominique Leboeuf, et al.. (2022). Evaluation of cytosine base editing and adenine base editing as a potential treatment for alpha-1 antitrypsin deficiency. Molecular Therapy. 30(4). 1396–1406. 29 indexed citations
3.
Blum, Travis R., Michael S. Packer, Xiaozhe Xiong, et al.. (2021). Phage-assisted evolution of botulinum neurotoxin proteases with reprogrammed specificity. Science. 371(6531). 803–810. 49 indexed citations
4.
Chu, S. Haihua, Michael S. Packer, Holly A. Rees, et al.. (2021). Rationally Designed Base Editors for Precise Editing of the Sickle Cell Disease Mutation. The CRISPR Journal. 4(2). 169–177. 55 indexed citations
5.
Werder, Rhiannon B., Michael S. Packer, Jonathan Lindstrom-Vautrin, et al.. (2021). Adenine base editing reduces misfolded protein accumulation and toxicity in alpha-1 antitrypsin deficient patient iPSC-hepatocytes. Molecular Therapy. 29(11). 3219–3229. 18 indexed citations
6.
Gaudelli, Nicole M., Dieter K. Lam, Holly A. Rees, et al.. (2020). Directed evolution of adenine base editors with increased activity and therapeutic application. Nature Biotechnology. 38(7). 892–900. 341 indexed citations breakdown →
7.
Chu, S. Haihua, Michael S. Packer, Jeffrey Marshall, et al.. (2020). Adenine Base Editing of the Sickle Allele in CD34+ Hematopoietic Stem and Progenitor Cells Eliminates Hemoglobin S. Blood. 136(Supplement 1). 47–47. 2 indexed citations
8.
Lin, Ling, Adrian P. Rybak, Jonathan Yen, et al.. (2019). Complementary Base Editing Approaches for the Treatment of Sickle Cell Disease and Beta Thalassemia. Blood. 134(Supplement_1). 3352–3352. 5 indexed citations
9.
Foster, Keith, Travis R. Blum, Matthew Beard, et al.. (2018). Phage-assisted continuous evolution of botulinum neurotoxin light chains generates novel light chains with modified snare cleavage specificity. Toxicon. 156. S35–S35. 1 indexed citations
10.
Komor, Alexis C., Kevin T. Zhao, Michael S. Packer, et al.. (2017). Improved base excision repair inhibition and bacteriophage Mu Gam protein yields C:G-to-T:A base editors with higher efficiency and product purity. Science Advances. 3(8). eaao4774–eaao4774. 568 indexed citations breakdown →
11.
Komor, Alexis C., et al.. (2017). Increasing the genome-targeting scope and precision of base editing with engineered Cas9-cytidine deaminase fusions. Nature Biotechnology. 35(4). 371–376. 577 indexed citations breakdown →
12.
Packer, Michael S., Holly A. Rees, & David R. Liu. (2017). Phage-assisted continuous evolution of proteases with altered substrate specificity. Nature Communications. 8(1). 956–956. 88 indexed citations
13.
Gaudelli, Nicole M., Alexis C. Komor, Holly A. Rees, et al.. (2017). Programmable base editing of A•T to G•C in genomic DNA without DNA cleavage. Nature. 551(7681). 464–471. 2789 indexed citations breakdown →
14.
Komor, Alexis C., et al.. (2016). Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage. Nature. 533(7603). 420–424. 3599 indexed citations breakdown →
15.
Rinaldi, Fábio C., Michael S. Packer, & Ruth Collins. (2015). New insights into the molecular mechanism of the Rab GTPase Sec4p activation. BMC Structural Biology. 15(1). 14–14. 8 indexed citations
16.
Packer, Michael S. & David R. Liu. (2015). Methods for the directed evolution of proteins. Nature Reviews Genetics. 16(7). 379–394. 692 indexed citations breakdown →
17.
Dickinson, Bryan C., Michael S. Packer, Ahmed H. Badran, & David R. Liu. (2014). A system for the continuous directed evolution of proteases rapidly reveals drug-resistance mutations. Nature Communications. 5(1). 5352–5352. 75 indexed citations
18.
Silverberg, Jesse L., Roslyn Noar, Michael S. Packer, et al.. (2012). 3D imaging and mechanical modeling of helical buckling in Medicago truncatula plant roots. Proceedings of the National Academy of Sciences. 109(42). 16794–16799. 63 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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