Michael J. Hammerling

464 total citations
10 papers, 268 citations indexed

About

Michael J. Hammerling is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Michael J. Hammerling has authored 10 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Ecology. Recurrent topics in Michael J. Hammerling's work include RNA and protein synthesis mechanisms (7 papers), CRISPR and Genetic Engineering (4 papers) and RNA modifications and cancer (3 papers). Michael J. Hammerling is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), CRISPR and Genetic Engineering (4 papers) and RNA modifications and cancer (3 papers). Michael J. Hammerling collaborates with scholars based in United States and France. Michael J. Hammerling's co-authors include Jeffrey E. Barrick, Michael C. Jewett, Antje Krüger, Erik D. Carlson, Brian R. Fritz, Do Soon Kim, Andrew D. Ellington, Edward M. Marcotte, Jared W. Ellefson and Daniel R. Boutz and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Molecular Biology and Evolution.

In The Last Decade

Michael J. Hammerling

8 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Hammerling United States 7 243 85 30 23 23 10 268
Barbora Lavickova Switzerland 8 258 1.1× 51 0.6× 20 0.7× 82 3.6× 28 1.2× 9 327
Sebastian Arangundy‐Franklin United Kingdom 8 404 1.7× 41 0.5× 10 0.3× 36 1.6× 63 2.7× 10 425
Tal Einav United States 9 179 0.7× 65 0.8× 18 0.6× 17 0.7× 18 0.8× 19 221
Gillian Houlihan United Kingdom 10 318 1.3× 47 0.6× 32 1.1× 31 1.3× 46 2.0× 12 343
Max Z. Levine United States 5 230 0.9× 36 0.4× 28 0.9× 27 1.2× 32 1.4× 6 254
Rebecca L. Coppins United States 7 517 2.1× 62 0.7× 4 0.1× 52 2.3× 26 1.1× 8 531
Rachel E. Kelemen United States 10 260 1.1× 119 1.4× 22 0.7× 6 0.3× 31 1.3× 14 319
Tanja Gesell Austria 9 388 1.6× 63 0.7× 10 0.3× 17 0.7× 42 1.8× 15 429
Armin Benz Germany 7 466 1.9× 71 0.8× 6 0.2× 14 0.6× 34 1.5× 9 480

Countries citing papers authored by Michael J. Hammerling

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Hammerling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Hammerling

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

All Works

10 of 10 papers shown
1.
Alejo, José Luís Pérez, Dylan Girodat, Michael J. Hammerling, et al.. (2024). Alternate conformational trajectories in ribosome translocation. PLoS Computational Biology. 20(8). e1012319–e1012319.
2.
Hammerling, Michael J., Katherine F. Warfel, & Michael C. Jewett. (2021). Lyophilization of premixed COVID‐19 diagnostic RT‐qPCR reactions enables stable long‐term storage at elevated temperature. Biotechnology Journal. 16(7). e2000572–e2000572. 12 indexed citations
3.
Hammerling, Michael J., et al.. (2020). In vitro ribosome synthesis and evolution through ribosome display. Nature Communications. 11(1). 1108–1108. 60 indexed citations
4.
Hammerling, Michael J., et al.. (2020). Single enzyme RT-PCR of full-length ribosomal RNA. PubMed. 5(1). ysaa028–ysaa028.
5.
Hammerling, Michael J., Antje Krüger, & Michael C. Jewett. (2019). Strategies for in vitro engineering of the translation machinery. Nucleic Acids Research. 48(3). 1068–1083. 47 indexed citations
6.
Hammerling, Michael J., et al.. (2016). Expanded Genetic Codes Create New Mutational Routes to Rifampicin Resistance inEscherichia coli. Molecular Biology and Evolution. 33(8). 2054–2063. 10 indexed citations
7.
Leonard, Sean P., et al.. (2016). Rapid and Inexpensive Evaluation of Nonstandard Amino Acid Incorporation in Escherichia coli. ACS Synthetic Biology. 6(1). 45–54. 27 indexed citations
8.
Hammerling, Michael J., et al.. (2014). Engineering reduced evolutionary potential for synthetic biology. Molecular BioSystems. 10(7). 1668–1678. 68 indexed citations
9.
Hammerling, Michael J., Jared W. Ellefson, Daniel R. Boutz, et al.. (2014). Bacteriophages use an expanded genetic code on evolutionary paths to higher fitness. Nature Chemical Biology. 10(3). 178–180. 39 indexed citations
10.
Alnahhas, Razan N., et al.. (2014). The case for decoupling assembly and submission standards to maintain a more flexible registry of biological parts. Journal of Biological Engineering. 8(1). 28–28. 5 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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