Tyler L. Dangerfield
- Aging top 10%
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 5
- Viral gastroenteritis research and epidemiology 2
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- RNA and protein synthesis mechanisms 10
- DNA and Nucleic Acid Chemistry 7
- DNA Repair Mechanisms 7
- CRISPR and Genetic Engineering 5
- Advanced biosensing and bioanalysis techniques 4
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- Bacterial Genetics and Biotechnology 6
- Co-authors
- Kenneth A. JohnsonDavid W. TaylorJack P. K. BravoGrace N. HibshmanMu‐Sen LiuRyan S. McCoolAndrew D. EllingtonInyup Paik
- Journals
- Nature (1 paper)Journal of the American Chemical Society (1 paper)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesAustriaUnited Arab Emirates
In The Last Decade
Tyler L. Dangerfield
22 papers receiving 585 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Business and International Management 28
- Aging 21
- Infectious Diseases 156
- Molecular Biology 401
- Structural Biology 4
Countries citing papers authored by Tyler L. Dangerfield
This map shows the geographic impact of Tyler L. Dangerfield'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 Tyler L. Dangerfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler L. Dangerfield more than expected).
Fields of papers citing papers by Tyler L. Dangerfield
This network shows the impact of papers produced by Tyler L. Dangerfield. 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 Tyler L. Dangerfield. The network helps show where Tyler L. Dangerfield may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tyler L. Dangerfield, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2024 | 30 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 26 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 7 | |
| 7 | Structural basis for mismatch surveillance by CRISPR–Cas9breakdown → | 2022 | 175 |
| 8 | 2022 | 10 | |
| 9 | 2022 | 30 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 100 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2020 | 6 | |
| 17 | 2020 | 54 | |
| 18 | 2020 | 16 | |
| 19 | 2020 | 15 | |
| 20 | 2020 | 3 |
About Tyler L. Dangerfield
Tyler L. Dangerfield is a scholar working on Infectious Diseases, Molecular Biology and Genetics, having authored 22 papers that have together received 594 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), DNA and Nucleic Acid Chemistry (7 papers), DNA Repair Mechanisms (7 papers), Bacterial Genetics and Biotechnology (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), CRISPR and Genetic Engineering (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Business and International Management (28 citations), Aging (21 citations) and Infectious Diseases (156 citations). Tyler L. Dangerfield has collaborated with scholars based in United States, Austria and United Arab Emirates. Frequent co-authors include Kenneth A. Johnson, David W. Taylor, Jack P. K. Bravo, Grace N. Hibshman, Mu‐Sen Liu, Ryan S. McCool, Andrew D. Ellington, Inyup Paik, Sanchita Bhadra and Yan Zhang. Their work appears in journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.
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.