Kyle Jacoby
Impact in
- Endocrinology top 5%
- Molecular Medicine top 5%
Papers in
-
- CRISPR and Genetic Engineering 8
- RNA and protein synthesis mechanisms 3
- Advanced biosensing and bioanalysis techniques 3
- RNA Interference and Gene Delivery 3
- Bacterial biofilms and quorum sensing 2
- Genetics 4
- Virus-based gene therapy research 3
- Co-authors
- Andrew M. Scharenberg (9 shared papers)David J. Rawlings (5 shared papers)Samuel Lee (1 shared paper)Colin Manoil (1 shared paper)Aaron J. Hinz (1 shared paper)Abigail R. Lambert (3 shared papers)Bruce A. Braaten (1 shared paper)David A. Low (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Molecular Therapy — Nucleic Acids (2 papers)Nature (2 papers)Journal of Bacteriology (1 paper)Molecular Therapy (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Kyle Jacoby
13 papers receiving 969 citations
Kyle Jacoby's Hit Papers
Peers
Comparison fields: 5 of 68
- Endocrinology 104
- Molecular Medicine 81
- Oncology 268
- Genetics 292
- Molecular Biology 655
Countries citing papers authored by Kyle Jacoby
This map shows the geographic impact of Kyle Jacoby'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 Kyle Jacoby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Jacoby more than expected).
Fields of papers citing papers by Kyle Jacoby
This network shows the impact of papers produced by Kyle Jacoby. 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 Kyle Jacoby. The network helps show where Kyle Jacoby may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle Jacoby, 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 | Non-viral precision T cell receptor replacement for personalized cell therapy Hit paper breakdown → | 2022 | 212 |
| 2 | 2008 | 160 | |
| 3 | 2023 | 124 | |
| 4 | 2011 | 85 | |
| 5 | 2012 | 83 | |
| 6 | 2016 | 77 | |
| 7 | 2019 | 75 | |
| 8 | 2011 | 74 | |
| 9 | 2018 | 47 | |
| 10 | 2016 | 32 | |
| 11 | 2012 | 18 | |
| 12 | 2016 | 6 | |
| 13 | 2014 | 4 |
About Kyle Jacoby
Kyle Jacoby is a scholar working on Molecular Biology, Genetics, Immunology, Molecular Medicine and Endocrinology, having authored 13 papers that have together received 997 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Virus-based gene therapy research (3 papers), RNA and protein synthesis mechanisms (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), RNA Interference and Gene Delivery (3 papers), CAR-T cell therapy research (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Endocrinology (104 citations), Molecular Medicine (81 citations), Oncology (268 citations), Genetics (292 citations) and Molecular Biology (655 citations). Kyle Jacoby has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Andrew M. Scharenberg, David J. Rawlings, Samuel Lee, Colin Manoil, Aaron J. Hinz, Abigail R. Lambert, Bruce A. Braaten, David A. Low, Stephanie K. Aoki and Benjamin Craig Thomas. Their work appears in journals such as Nucleic Acids Research, Molecular Therapy — Nucleic Acids, Nature, Journal of Bacteriology and Molecular Therapy.
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.