Anna Anselmo
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
-
- Bacterial Infections and Vaccines 8
-
- Viral gastroenteritis research and epidemiology 4
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Silvia Fillo (18 shared papers)Andrea Ciammaruconi (12 shared papers)Florigio Lista (9 shared papers)Antonella Fortunato (15 shared papers)Sara Botti (4 shared papers)Elisabetta Giuffra (4 shared papers)Bouabid Badaoui (3 shared papers)Paola Stefanelli (11 shared papers)
- Journals
- PLoS ONE (3 papers)Infection Genetics and Evolution (2 papers)BMC Genomics (2 papers)BMC Infectious Diseases (2 papers)Scientific Reports (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Anna Anselmo
31 papers receiving 555 citations
Peers
Comparison fields: 5 of 74
- Molecular Medicine 100
- Endocrinology 60
- Microbiology 65
- Infectious Diseases 150
- Animal Science and Zoology 82
Countries citing papers authored by Anna Anselmo
This map shows the geographic impact of Anna Anselmo'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 Anselmo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Anselmo more than expected).
Fields of papers citing papers by Anna Anselmo
This network shows the impact of papers produced by Anna Anselmo. 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 Anselmo. The network helps show where Anna Anselmo may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Anselmo, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 97 | |
| 2 | 2019 | 64 | |
| 3 | 2017 | 50 | |
| 4 | 2014 | 40 | |
| 5 | 2017 | 38 | |
| 6 | 2011 | 35 | |
| 7 | 2008 | 33 | |
| 8 | 2013 | 29 | |
| 9 | 2006 | 25 | |
| 10 | 2015 | 23 | |
| 11 | 2016 | 19 | |
| 12 | 2020 | 15 | |
| 13 | 2017 | 14 | |
| 14 | 2020 | 14 | |
| 15 | 2021 | 10 | |
| 16 | 2019 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2019 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2010 | 5 |
About Anna Anselmo
Anna Anselmo is a scholar working on Microbiology, Infectious Diseases, Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 563 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (8 papers), Streptococcal Infections and Treatments (6 papers), Animal Virus Infections Studies (5 papers), Pneumonia and Respiratory Infections (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Antibiotic Resistance in Bacteria (4 papers), Viral gastroenteritis research and epidemiology (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Molecular Medicine (100 citations), Endocrinology (60 citations), Microbiology (65 citations), Infectious Diseases (150 citations) and Animal Science and Zoology (82 citations). Anna Anselmo has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Silvia Fillo, Andrea Ciammaruconi, Florigio Lista, Antonella Fortunato, Sara Botti, Elisabetta Giuffra, Bouabid Badaoui, Paola Stefanelli, Florigio Lista and Maria Rita Gismondo. Their work appears in journals such as PLoS ONE, Infection Genetics and Evolution, BMC Genomics, BMC Infectious Diseases and Scientific Reports.
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.