Kyle Jacoby
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- CRISPR and Genetic Engineering 8
- RNA and protein synthesis mechanisms 3
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 3
- Bacterial biofilms and quorum sensing 2
- Genetics 5
- Virus-based gene therapy research 4
- Co-authors
- Andrew M. Scharenberg (9 shared papers)David J. Rawlings (5 shared papers)Colin Manoil (1 shared paper)Samuel Lee (1 shared paper)Aaron Hinz (1 shared paper)Abigail R. Lambert (3 shared papers)Bruce A. Braaten (1 shared paper)David A. Low (1 shared paper)
- Journals
- Cancer Research (3 papers)Molecular Therapy — Nucleic Acids (2 papers)Nucleic Acids Research (2 papers)Molecular Therapy (1 paper)Molecular Microbiology (1 paper)
- Partner nations
- United StatesCanadaSouth Africa
In The Last Decade
Kyle Jacoby
14 papers receiving 633 citations
Peers
Comparison fields: 5 of 60
- Endocrinology 104
- Molecular Medicine 81
- Genetics 252
- Molecular Biology 505
- Business and International Management 10
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 | 2008 | 159 | |
| 2 | 2011 | 84 | |
| 3 | 2012 | 78 | |
| 4 | 2011 | 75 | |
| 5 | 2016 | 71 | |
| 6 | 2019 | 68 | |
| 7 | 2018 | 46 | |
| 8 | 2016 | 31 | |
| 9 | 2012 | 18 | |
| 10 | 2016 | 6 | |
| 11 | 2014 | 4 | |
| 12 | 2019 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2020 | 1 |
About Kyle Jacoby
Kyle Jacoby is a scholar working on Molecular Biology, Genetics, Oncology, Epidemiology and Biotechnology, having authored 14 papers that have together received 644 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Virus-based gene therapy research (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), CAR-T cell therapy research (3 papers), Bacterial biofilms and quorum sensing (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Endocrinology (104 citations), Molecular Medicine (81 citations), Genetics (252 citations), Molecular Biology (505 citations) and Business and International Management (10 citations). Kyle Jacoby has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Andrew M. Scharenberg, David J. Rawlings, Colin Manoil, Samuel Lee, Aaron Hinz, Abigail R. Lambert, Bruce A. Braaten, David A. Low, Benjamin Thomas and Stephanie K. Aoki. Their work appears in journals such as Cancer Research, Molecular Therapy — Nucleic Acids, Nucleic Acids Research, Molecular Therapy and Molecular Microbiology.
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.