Jonathan M. Blackburn
- Molecular Biology top 5%
- Infectious Diseases top 5%
- Epidemiology top 10%
- Oncology top 10%
- Biomedical Engineering top 10%
- Co-authors
- Nelson C. SoaresWayne M. PatrickAndrew J. M. NelPaul GoldbergChrista L. BrosseauM. F. PerutzJessica Da Gama DuarteKelvin Stott
- Topics
- Tuberculosis Research and Epidemiology (21 papers)Mycobacterium research and diagnosis (19 papers)Monoclonal and Polyclonal Antibodies Research (16 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaNano Letters
- Partner nations
- South AfricaUnited KingdomUnited States
In The Last Decade
Jonathan M. Blackburn
126 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 156
- Molecular Biology 1.6k
- Infectious Diseases 533
- Epidemiology 369
- Oncology 326
- Biomedical Engineering 324
Countries citing papers authored by Jonathan M. Blackburn
This map shows the geographic impact of Jonathan M. Blackburn'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 M. Blackburn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Blackburn more than expected).
Fields of papers citing papers by Jonathan M. Blackburn
This network shows the impact of papers produced by Jonathan M. Blackburn. 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 M. Blackburn. The network helps show where Jonathan M. Blackburn may publish in the future.
Co-authorship network of co-authors of Jonathan M. Blackburn
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Blackburn. A scholar is included among the top collaborators of Jonathan M. Blackburn 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 M. Blackburn. Jonathan M. Blackburn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 30 | |
| 17 | 16 | |
| 18 | 39 | |
| 19 | 16 | |
| 20 | 7 |
About Jonathan M. Blackburn
Jonathan M. Blackburn is a scholar working on Infectious Diseases, Molecular Biology and Immunology, having authored 131 papers that have together received 2.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (21 papers), Mycobacterium research and diagnosis (19 papers) and Monoclonal and Polyclonal Antibodies Research (16 papers). The work is most often cited by research in Infectious Diseases (533 citations), Molecular Biology (1.6k citations) and Spectroscopy (228 citations). Jonathan M. Blackburn has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Nelson C. Soares, Wayne M. Patrick, Andrew J. M. Nel, Paul Goldberg, Christa L. Brosseau, M. F. Perutz, Jessica Da Gama Duarte, Kelvin Stott, P J Butler and Andrew E. Firth. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Nano Letters.
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.