Armando Acosta
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 48
- Epidemiology 49
- Mycobacterium research and diagnosis 31
- Pneumonia and Respiratory Infections 8
- Co-authors
- María E. Sarmiento (65 shared papers)Mohd Nor Norazmi (49 shared papers)Nadine Álvarez (21 shared papers)Caridad Zayas (5 shared papers)José L. Pérez (6 shared papers)Luis Garcı́a (1 shared paper)Einar Rosenqvist (1 shared paper)Concepción Campa (1 shared paper)
In The Last Decade
Armando Acosta
99 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Microbiology 189
- Infectious Diseases 522
- Immunology 472
- Parasitology 109
- Epidemiology 470
Countries citing papers authored by Armando Acosta
This map shows the geographic impact of Armando Acosta'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 Armando Acosta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armando Acosta more than expected).
Fields of papers citing papers by Armando Acosta
This network shows the impact of papers produced by Armando Acosta. 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 Armando Acosta. The network helps show where Armando Acosta may publish in the future.
Co-authors
The 25 scholars most cited alongside Armando Acosta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 210 | |
| 2 | 2001 | 116 | |
| 3 | 2003 | 80 | |
| 4 | 2009 | 67 | |
| 5 | 2013 | 49 | |
| 6 | 2011 | 44 | |
| 7 | 2019 | 42 | |
| 8 | 2006 | 35 | |
| 9 | 1998 | 32 | |
| 10 | 2009 | 31 | |
| 11 | 2006 | 30 | |
| 12 | 2011 | 28 | |
| 13 | 2017 | 26 | |
| 14 | 2000 | 25 | |
| 15 | 2013 | 25 | |
| 16 | 2018 | 23 | |
| 17 | 2022 | 21 | |
| 18 | The importance of animal models in tuberculosis vaccine development. | 2011 | 18 |
| 19 | 2006 | 16 | |
| 20 | 2019 | 16 |
About Armando Acosta
Armando Acosta is a scholar working on Infectious Diseases, Epidemiology, Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 106 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (48 papers), Mycobacterium research and diagnosis (31 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Immune Response and Inflammation (12 papers), vaccines and immunoinformatics approaches (12 papers), Immunodeficiency and Autoimmune Disorders (9 papers), Pneumonia and Respiratory Infections (8 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Microbiology (189 citations), Infectious Diseases (522 citations), Immunology (472 citations), Parasitology (109 citations) and Epidemiology (470 citations). Armando Acosta has collaborated with scholars based in Cuba, Malaysia and Mexico. Frequent co-authors include María E. Sarmiento, Mohd Nor Norazmi, Nadine Álvarez, Caridad Zayas, José L. Pérez, Luis Garcı́a, Einar Rosenqvist, Concepción Campa, Reinaldo Acevedo and Valerie A. Ferro. Their work appears in journals such as Tuberculosis, BMC Immunology, Vaccine, Frontiers in Immunology and Tropical Medicine and Infectious Disease.
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.