Jayme Cannon
Impact in
- Microbiology top 10%
- Bacterial Infections and Vaccines
-
- Pneumonia and Respiratory Infections
- Respiratory viral infections research
Papers in
-
- Photochromic and Fluorescence Chemistry 5
- Co-authors
- Shengzhuang Tang (14 shared papers)Seok Ki Choi (11 shared papers)Pamela T. Wong (6 shared papers)James R. Baker (10 shared papers)Jon H. Heinrichs (2 shared papers)Michael J. Caulfield (2 shared papers)Matthew F. Krummel (2 shared papers)Jhindan Mukherjee (2 shared papers)
- Journals
- Microbiology Spectrum (2 papers)Vaccine (1 paper)Human Vaccines (1 paper)Pharmaceutics (1 paper)European Polymer Journal (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jayme Cannon
20 papers receiving 336 citations
Peers
Comparison fields: 5 of 76
- Microbiology 34
- Epidemiology 94
- Immunology 52
- Organic Chemistry 70
- Materials Chemistry 93
Countries citing papers authored by Jayme Cannon
This map shows the geographic impact of Jayme Cannon'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 Jayme Cannon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayme Cannon more than expected).
Fields of papers citing papers by Jayme Cannon
This network shows the impact of papers produced by Jayme Cannon. 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 Jayme Cannon. The network helps show where Jayme Cannon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayme Cannon, 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 | 2007 | 70 | |
| 2 | 2011 | 67 | |
| 3 | 2017 | 41 | |
| 4 | 2017 | 36 | |
| 5 | 2016 | 28 | |
| 6 | 2019 | 20 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2018 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2019 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2020 | 1 |
About Jayme Cannon
Jayme Cannon is a scholar working on Materials Chemistry, Organic Chemistry, Molecular Biology, Cellular and Molecular Neuroscience and Microbiology, having authored 20 papers that have together received 343 indexed citations. Recurring topics across this work include Photochromic and Fluorescence Chemistry (5 papers), Pesticide Exposure and Toxicity (4 papers), Dendrimers and Hyperbranched Polymers (4 papers), Photoreceptor and optogenetics research (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Antimicrobial Peptides and Activities (3 papers), Nanoplatforms for cancer theranostics (2 papers) and Environmental Toxicology and Ecotoxicology (2 papers). The work is most often cited by research in Microbiology (34 citations), Epidemiology (94 citations), Immunology (52 citations), Organic Chemistry (70 citations) and Materials Chemistry (93 citations). Jayme Cannon has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Shengzhuang Tang, Seok Ki Choi, Pamela T. Wong, James R. Baker, Jon H. Heinrichs, Michael J. Caulfield, Matthew F. Krummel, Jhindan Mukherjee, Timothy W. Tobery and Bei Wang. Their work appears in journals such as Microbiology Spectrum, Vaccine, Human Vaccines, Pharmaceutics and European Polymer Journal.
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.