Jonathan Strecker
Impact in
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- Innovation and Socioeconomic Development
- Aging top 5%
Papers in
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- CRISPR and Genetic Engineering 10
- RNA and protein synthesis mechanisms 5
- Advanced biosensing and bioanalysis techniques 4
- DNA Repair Mechanisms 2
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- Chromosomal and Genetic Variations 4
- Plant Virus Research Studies 2
- Co-authors
- Feng Zhang (7 shared papers)Kira S. Makarova (4 shared papers)Eugene V. Koonin (4 shared papers)Jonathan L. Schmid‐Burgk (3 shared papers)Zachary Gardner (2 shared papers)Alim Ladha (2 shared papers)Linyi Gao (3 shared papers)Rhiannon K. Macrae (5 shared papers)
- Journals
- Science (3 papers)Nature Communications (3 papers)Cell Reports (2 papers)Molecular Cell (2 papers)eLife (2 papers)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Jonathan Strecker
17 papers receiving 1.5k citations
Jonathan Strecker's Hit Papers
Peers
Comparison fields: 5 of 73
- Business and International Management 119
- Aging 62
- Molecular Biology 1.4k
- Endocrinology 59
- Genetics 292
Countries citing papers authored by Jonathan Strecker
This map shows the geographic impact of Jonathan Strecker'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 Jonathan Strecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Strecker more than expected).
Fields of papers citing papers by Jonathan Strecker
This network shows the impact of papers produced by Jonathan Strecker. 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 Jonathan Strecker. The network helps show where Jonathan Strecker may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Strecker, 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 | RNA-guided DNA insertion with CRISPR-associated transposases Hit paper breakdown → | 2019 | 455 |
| 2 | 2019 | 266 | |
| 3 | 2020 | 145 | |
| 4 | Prokaryotic innate immunity through pattern recognition of conserved viral proteins Hit paper breakdown → | 2022 | 138 |
| 5 | 2021 | 91 | |
| 6 | 2019 | 89 | |
| 7 | 2015 | 74 | |
| 8 | 2018 | 69 | |
| 9 | 2016 | 63 | |
| 10 | 2013 | 61 | |
| 11 | 2022 | 48 | |
| 12 | 2023 | 21 | |
| 13 | 2017 | 18 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 9 | |
| 16 | 2009 | 9 | |
| 17 | 2022 | 5 | |
| 18 | 2024 | 0 |
About Jonathan Strecker
Jonathan Strecker is a scholar working on Molecular Biology, Plant Science, Cell Biology, Oncology and Physiology, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), RNA and protein synthesis mechanisms (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Chromosomal and Genetic Variations (4 papers), Microtubule and mitosis dynamics (3 papers), Telomeres, Telomerase, and Senescence (2 papers), DNA Repair Mechanisms (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Business and International Management (119 citations), Aging (62 citations), Molecular Biology (1.4k citations), Endocrinology (59 citations) and Genetics (292 citations). Jonathan Strecker has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Feng Zhang, Kira S. Makarova, Eugene V. Koonin, Jonathan L. Schmid‐Burgk, Zachary Gardner, Alim Ladha, Linyi Gao, Rhiannon K. Macrae, Sara R. Jones and Balwina Koopal. Their work appears in journals such as Science, Nature Communications, Cell Reports, Molecular Cell and eLife.
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.