Hayden C. Metsky
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Infectious Diseases top 10%
- Public Health, Environmental and Occupational Health
- Cardiology and Cardiovascular Medicine
- Co-authors
- Cameron MyhrvoldPardis C. SabetiAmber CarterCatherine A. FreijeChloe K. BoehmDavid YangPaul C. BlaineyCheri M. Ackerman
- Topics
- CRISPR and Genetic Engineering (4 papers)RNA and protein synthesis mechanisms (2 papers)Advanced biosensing and bioanalysis techniques (2 papers)
- Partner nations
- United StatesNetherlandsDenmark
In The Last Decade
Hayden C. Metsky
7 papers receiving 935 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Molecular Biology 787
- Biomedical Engineering 304
- Infectious Diseases 227
- Public Health, Environmental and Occupational Health 128
- Cardiology and Cardiovascular Medicine 84
Countries citing papers authored by Hayden C. Metsky
This map shows the geographic impact of Hayden C. Metsky'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 Hayden C. Metsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hayden C. Metsky more than expected).
Fields of papers citing papers by Hayden C. Metsky
This network shows the impact of papers produced by Hayden C. Metsky. 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 Hayden C. Metsky. The network helps show where Hayden C. Metsky may publish in the future.
Co-authorship network of co-authors of Hayden C. Metsky
This figure shows the co-authorship network connecting the top 25 collaborators of Hayden C. Metsky. A scholar is included among the top collaborators of Hayden C. Metsky 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 Hayden C. Metsky. Hayden C. Metsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 51 | |
| 5 | Massively multiplexed nucleic acid detection with Cas13breakdown → | 592 |
| 6 | Programmable Inhibition and Detection of RNA Viruses Using Cas13breakdown → | 293 |
| 7 | 1 | |
| 8 | Automatic Learning of Morphological Variations f or Handling Out-of-Vocabulary Terms in Urdu-English Machine Translation | 2 |
About Hayden C. Metsky
Hayden C. Metsky is a scholar working on Endocrinology, Molecular Biology and Food Science, having authored 8 papers that have together received 951 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Business and International Management (60 citations), Infectious Diseases (227 citations) and Molecular Biology (787 citations). Hayden C. Metsky has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include Cameron Myhrvold, Pardis C. Sabeti, Amber Carter, Catherine A. Freije, Chloe K. Boehm, David Yang, Paul C. Blainey, Cheri M. Ackerman, Jared Kehe and Anthony Kulesa. Their work appears in journals such as Nature, Nature Communications and Nature Biotechnology.
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.