A. Alito
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Epidemiology top 5%
- Mycobacterium research and diagnosis
Papers in
- Epidemiology 33
- Mycobacterium research and diagnosis 33
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- Tuberculosis Research and Epidemiology 26
- Co-authors
- Angel Cataldi (27 shared papers)Martín José Zumárraga (18 shared papers)Fabiana Bigi (22 shared papers)Maria Romanò (12 shared papers)María Isabel Romano (12 shared papers)Dick van Soolingen (4 shared papers)Karina Caimi (8 shared papers)Andrea Gioffré (7 shared papers)
In The Last Decade
A. Alito
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 74
- Infectious Diseases 949
- Epidemiology 947
- Molecular Medicine 89
- Microbiology 74
- Small Animals 78
Countries citing papers authored by A. Alito
This map shows the geographic impact of A. Alito'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 A. Alito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Alito more than expected).
Fields of papers citing papers by A. Alito
This network shows the impact of papers produced by A. Alito. 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 A. Alito. The network helps show where A. Alito may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Alito, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 200 | |
| 2 | 1994 | 144 | |
| 3 | 1999 | 70 | |
| 4 | 2003 | 58 | |
| 5 | 2004 | 55 | |
| 6 | 1999 | 47 | |
| 7 | 1999 | 43 | |
| 8 | 1997 | 42 | |
| 9 | A low cost, home-made, reverse-line blot hybridisation assay for rapid detection of rifampicin resistance in Mycobacterium tuberculosis. | 2002 | 40 |
| 10 | 2002 | 40 | |
| 11 | 1996 | 32 | |
| 12 | 1999 | 32 | |
| 13 | Evaluation of the polymerase chain reaction for the detection of Mycobacterium tuberculosis. | 2000 | 29 |
| 14 | 2000 | 27 | |
| 15 | Autonomic nervous system regulation of murine immune responses as assessed by local surgical sympathetic and parasympathetic denervation. | 1987 | 24 |
| 16 | 1995 | 23 | |
| 17 | 1995 | 23 | |
| 18 | 1999 | 21 | |
| 19 | 2009 | 21 | |
| 20 | 2008 | 15 |
About A. Alito
A. Alito is a scholar working on Epidemiology, Infectious Diseases, Ecology, Surgery and Molecular Biology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (33 papers), Tuberculosis Research and Epidemiology (26 papers), Bacteriophages and microbial interactions (8 papers), Bacterial Genetics and Biotechnology (4 papers), Diagnosis and treatment of tuberculosis (4 papers), Microbial infections and disease research (4 papers), RNA and protein synthesis mechanisms (3 papers) and Infectious Diseases and Tuberculosis (2 papers). The work is most often cited by research in Infectious Diseases (949 citations), Epidemiology (947 citations), Molecular Medicine (89 citations), Microbiology (74 citations) and Small Animals (78 citations). A. Alito has collaborated with scholars based in Argentina, Brazil and Spain. Frequent co-authors include Angel Cataldi, Martín José Zumárraga, Fabiana Bigi, Maria Romanò, María Isabel Romano, Dick van Soolingen, Karina Caimi, Andrea Gioffré, P E de Haas and J D van Embden. Their work appears in journals such as Microbiology, Journal of Clinical Microbiology, Veterinary Microbiology, Infection and Immunity and Tuberculosis.
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.