Rolando Pajón
- Infectious Diseases top 2%
- Microbiology top 0.5%
- Epidemiology top 5%
- Molecular Biology
- Immunology top 10%
- Co-authors
- Dan M. GranoffAndrew GorringePeter T. BeerninkBrett LeavHamilton BennettLaurence ChuBiliana NestorovaWenmei Huang
- Topics
- Bacterial Infections and Vaccines (30 papers)Pneumonia and Respiratory Infections (25 papers)SARS-CoV-2 and COVID-19 Research (11 papers)
- Journals
- Proceedings of the National Academy of SciencesNature MedicineSHILAP Revista de lepidopterología
- Partner nations
- United StatesCubaUnited Kingdom
In The Last Decade
Rolando Pajón
49 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Infectious Diseases 789
- Microbiology 616
- Epidemiology 578
- Molecular Biology 431
- Immunology 278
Countries citing papers authored by Rolando Pajón
This map shows the geographic impact of Rolando Pajón'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 Rolando Pajón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rolando Pajón more than expected).
Fields of papers citing papers by Rolando Pajón
This network shows the impact of papers produced by Rolando Pajón. 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 Rolando Pajón. The network helps show where Rolando Pajón may publish in the future.
Co-authorship network of co-authors of Rolando Pajón
This figure shows the co-authorship network connecting the top 25 collaborators of Rolando Pajón. A scholar is included among the top collaborators of Rolando Pajón 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 Rolando Pajón. Rolando Pajón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 39 | |
| 3 | 20 | |
| 4 | SARS-CoV-2 variant B.1.1.7 is susceptible to neutralizing antibodies elicited by ancestral spike vaccinesbreakdown → | 222 |
| 5 | 118 | |
| 6 | 15 | |
| 7 | Predicted proteins of Neisseria meningitidis as potential vaccine candidates: from in silico analyses to experimental corroboration | 2 |
| 8 | 33 | |
| 9 | 40 | |
| 10 | 43 | |
| 11 | 15 | |
| 12 | 20 | |
| 13 | 19 | |
| 14 | 29 | |
| 15 | 10 | |
| 16 | 39 | |
| 17 | 34 | |
| 18 | 1 | |
| 19 | Influence of the length of the P64k protein n-terminus stabilizing peptide on the expression in Escherichia coli of the fused TbpB from Neisseria meningitidis | 2 |
| 20 | 13 |
About Rolando Pajón
Rolando Pajón is a scholar working on Microbiology, Epidemiology and Infectious Diseases, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (30 papers), Pneumonia and Respiratory Infections (25 papers) and SARS-CoV-2 and COVID-19 Research (11 papers). The work is most often cited by research in Microbiology (616 citations), Infectious Diseases (789 citations) and Epidemiology (578 citations). Rolando Pajón has collaborated with scholars based in United States, Cuba and United Kingdom. Frequent co-authors include Dan M. Granoff, Andrew Gorringe, Peter T. Beernink, Brett Leav, Hamilton Bennett, Laurence Chu, Biliana Nestorova, Wenmei Huang, Roderick McPhee and Daniel Yero. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and SHILAP Revista de lepidopterología.
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.