Jonathan C. Reed
- Cognitive Neuroscience top 5%
- Molecular Biology
- Plant Science top 10%
- Developmental and Educational Psychology top 5%
- Virology top 5%
- Co-authors
- Peder J. JohnsonJaisri R. LingappaAlexey I. ProkhnevskyValerian V. DoljaJames C. CarringtonMotoko TanakaBridget A. RobinsonClair D. Geary
- Topics
- HIV Research and Treatment (11 papers)HIV/AIDS drug development and treatment (9 papers)Bacteriophages and microbial interactions (4 papers)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Jonathan C. Reed
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Cognitive Neuroscience 335
- Molecular Biology 276
- Plant Science 264
- Developmental and Educational Psychology 221
- Virology 219
Countries citing papers authored by Jonathan C. Reed
This map shows the geographic impact of Jonathan C. Reed'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 C. Reed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan C. Reed more than expected).
Fields of papers citing papers by Jonathan C. Reed
This network shows the impact of papers produced by Jonathan C. Reed. 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 C. Reed. The network helps show where Jonathan C. Reed may publish in the future.
Co-authorship network of co-authors of Jonathan C. Reed
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan C. Reed. A scholar is included among the top collaborators of Jonathan C. Reed based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan C. Reed. Jonathan C. Reed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 42 | |
| 7 | 8 | |
| 8 | 12 | |
| 9 | 22 | |
| 10 | 66 | |
| 11 | 31 | |
| 12 | 20 | |
| 13 | 6 | |
| 14 | 25 | |
| 15 | 51 | |
| 16 | 119 | |
| 17 | 27 | |
| 18 | 107 | |
| 19 | Application of a PCR-mismatch technique to the BCL-2 gene: detection of point mutations in BCL-2 genes of malignancies with A t(14,18). | 9 |
| 20 | 1 |
About Jonathan C. Reed
Jonathan C. Reed is a scholar working on Virology, Infectious Diseases and Endocrinology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), HIV/AIDS drug development and treatment (9 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Virology (219 citations), Endocrinology (126 citations) and Developmental and Educational Psychology (221 citations). Jonathan C. Reed has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Peder J. Johnson, Jaisri R. Lingappa, Alexey I. Prokhnevsky, Valerian V. Dolja, James C. Carrington, Motoko Tanaka, Bridget A. Robinson, Clair D. Geary, Elisabeth J. Chapman and Munir Mawassi. Their work appears in journals such as The Journal of Cell Biology, Journal of Virology and Journal of Clinical 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.