Anna Aulicino
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
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- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Immune Response and Inflammation 2
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- Salmonella and Campylobacter epidemiology 4
- Co-authors
- Alison Simmons (7 shared papers)Daria Bottai (2 shared papers)Semih Esin (2 shared papers)Giovanna Batoni (2 shared papers)Mariagrazia Di Luca (2 shared papers)Claudio Counoupas (2 shared papers)Giorgio Napolitani (4 shared papers)Marta Jagielowicz (3 shared papers)
- Journals
- Nature Medicine (1 paper)Nature Communications (1 paper)Frontiers in Immunology (1 paper)PLoS ONE (1 paper)Scandinavian Journal of Immunology (1 paper)
- Partner nations
- United KingdomUnited StatesMalawi
In The Last Decade
Anna Aulicino
11 papers receiving 384 citations
Peers
Comparison fields: 5 of 73
- Immunology 156
- Infectious Diseases 101
- Endocrinology 28
- Molecular Medicine 25
- Epidemiology 82
Countries citing papers authored by Anna Aulicino
This map shows the geographic impact of Anna Aulicino'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 Anna Aulicino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Aulicino more than expected).
Fields of papers citing papers by Anna Aulicino
This network shows the impact of papers produced by Anna Aulicino. 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 Anna Aulicino. The network helps show where Anna Aulicino may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Aulicino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 133 | |
| 2 | 2013 | 68 | |
| 3 | 2012 | 50 | |
| 4 | 2020 | 34 | |
| 5 | 2019 | 24 | |
| 6 | 2020 | 22 | |
| 7 | 2018 | 17 | |
| 8 | 2019 | 12 | |
| 9 | 2015 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2017 | 7 |
About Anna Aulicino
Anna Aulicino is a scholar working on Immunology, Food Science, Infectious Diseases, Endocrinology and Molecular Biology, having authored 11 papers that have together received 389 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (4 papers), Immune Cell Function and Interaction (3 papers), Mycobacterium research and diagnosis (2 papers), T-cell and B-cell Immunology (2 papers), Escherichia coli research studies (2 papers), Immune Response and Inflammation (2 papers), Ubiquitin and proteasome pathways (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Immunology (156 citations), Infectious Diseases (101 citations), Endocrinology (28 citations), Molecular Medicine (25 citations) and Epidemiology (82 citations). Anna Aulicino has collaborated with scholars based in United Kingdom, United States and Malawi. Frequent co-authors include Alison Simmons, Daria Bottai, Semih Esin, Giovanna Batoni, Mariagrazia Di Luca, Claudio Counoupas, Giorgio Napolitani, Marta Jagielowicz, Daniele Corridoni and Dai Ishikawa. Their work appears in journals such as Nature Medicine, Nature Communications, Frontiers in Immunology, PLoS ONE and Scandinavian Journal of Immunology.
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.