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
- Advanced biosensing and bioanalysis techniques 3
- RNA and protein synthesis mechanisms 3
- RNA Interference and Gene Delivery 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)Aaron Hinz (1 shared paper)Samuel Lee (1 shared paper)Abigail R. Lambert (3 shared papers)Julia Webb (1 shared paper)Bruce A. Braaten (1 shared paper)
- Journals
- Cancer Research (3 papers)Molecular Therapy — Nucleic Acids (2 papers)Nucleic Acids Research (2 papers)Molecular Microbiology (1 paper)Molecular Therapy (1 paper)
- Partner nations
- United StatesCanadaSouth Africa
In The Last Decade
Kyle Jacoby
14 papers receiving 604 citations
Peers
Comparison fields: 5 of 63
- Endocrinology 106
- Molecular Medicine 80
- Genetics 247
- Molecular Biology 488
- 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 | 153 | |
| 2 | 2011 | 80 | |
| 3 | 2012 | 73 | |
| 4 | 2011 | 72 | |
| 5 | 2016 | 68 | |
| 6 | 2019 | 63 | |
| 7 | 2018 | 45 | |
| 8 | 2016 | 28 | |
| 9 | 2012 | 18 | |
| 10 | 2016 | 6 | |
| 11 | 2014 | 4 | |
| 12 | 2019 | 2 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 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 614 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Virus-based gene therapy research (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA Interference and Gene Delivery (3 papers), CAR-T cell therapy research (3 papers), Cytomegalovirus and herpesvirus research (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Endocrinology (106 citations), Molecular Medicine (80 citations), Genetics (247 citations), Molecular Biology (488 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, Aaron Hinz, Samuel Lee, Abigail R. Lambert, Julia Webb, Bruce A. Braaten, David A. Low and Juliana C. Malinverni. Their work appears in journals such as Cancer Research, Molecular Therapy — Nucleic Acids, Nucleic Acids Research, Molecular Microbiology 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.