Jonathan S. Gootenberg
Impact in
- Business and International Management top 0.01%
- Innovation and Socioeconomic Development
- Aging top 0.05%
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
Jonathan S. Gootenberg
52 papers receiving 26.9k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Business and International Management 2.5k
- Aging 1.3k
- Molecular Biology 25.3k
- Insect Science 1.9k
- Genetics 3.8k
Countries citing papers authored by Jonathan S. Gootenberg
This map shows the geographic impact of Jonathan S. Gootenberg'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 S. Gootenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan S. Gootenberg more than expected).
Fields of papers citing papers by Jonathan S. Gootenberg
This network shows the impact of papers produced by Jonathan S. Gootenberg. 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 S. Gootenberg. The network helps show where Jonathan S. Gootenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan S. Gootenberg, 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 | 8 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | CRISPR technologies for genome, epigenome and transcriptome editing Hit paper breakdown → | 2024 | 99 |
| 5 | 2022 | 48 | |
| 6 | 2022 | 35 | |
| 7 | 2022 | 53 | |
| 8 | CRISPR-based diagnostics Hit paper breakdown → | 2021 | 823 |
| 9 | 2020 | 51 | |
| 10 | Programmable Inhibition and Detection of RNA Viruses Using Cas13 Hit paper breakdown → | 2019 | 293 |
| 11 | Structural basis for the promiscuous PAM recognition by Corynebacterium diphtheriae Cas9 | 2019 | 5 |
| 12 | A cytosine deaminase for programmable single-base RNA editing Hit paper breakdown → | 2019 | 332 |
| 13 | 2019 | 90 | |
| 14 | 2019 | 32 | |
| 15 | 2018 | 27 | |
| 16 | RNA editing with CRISPR-Cas13 Hit paper breakdown → | 2017 | 1291 |
| 17 | Nucleic acid detection with CRISPR-Cas13a/C2c2 | 2017 | 0 |
| 18 | C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effector Hit paper breakdown → | 2016 | 1689 |
| 19 | Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex | 2016 | 10 |
| 20 | Discovery and Functional Characterization of Diverse Class 2 CRISPR-Cas Systems Hit paper breakdown → | 2015 | 919 |
About Jonathan S. Gootenberg
Jonathan S. Gootenberg is a scholar working on Aging, Business and International Management, Molecular Biology, Endocrinology and Insect Science, having authored 53 papers that have together received 27.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (47 papers), RNA and protein synthesis mechanisms (25 papers), Advanced biosensing and bioanalysis techniques (17 papers), RNA regulation and disease (12 papers), Viral Infections and Immunology Research (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Mosquito-borne diseases and control (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Business and International Management (2.5k citations), Aging (1.3k citations), Molecular Biology (25.3k citations), Insect Science (1.9k citations) and Genetics (3.8k citations). Jonathan S. Gootenberg has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Feng Zhang, Omar O. Abudayyeh, Julia Joung, Eugene V. Koonin, Max J. Kellner, Silvana Konermann, Kira S. Makarova, Aviv Regev, James J. Collins and Patrick Essletzbichler. Their work appears in journals such as Science, Nature, Cell, Molecular Cell and Nature Communications.
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.