Anna Longo
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Reproductive System and Pregnancy
- Transplantation top 10%
Papers in
- Immunology 29
- T-cell and B-cell Immunology 23
- Immunotherapy and Immune Responses 14
- Immune Cell Function and Interaction 12
- Co-authors
- G. B. Ferrara (11 shared papers)Marco Colonna (4 shared papers)Marina Cella (2 shared papers)Jack L. Strominger (2 shared papers)Pieter S. Hiemstra (2 shared papers)Fabrizio Luppi (2 shared papers)Klaus F. Rabe (1 shared paper)W. de Boer (1 shared paper)
- Journals
- Human Immunology (6 papers)International Journal of Molecular Sciences (4 papers)Transplantation (4 papers)Occupational Medicine (2 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Anna Longo
58 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Immunology 735
- Transplantation 28
- Neurology 84
- Hematology 110
- Virology 46
Countries citing papers authored by Anna Longo
This map shows the geographic impact of Anna Longo'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 Longo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Longo more than expected).
Fields of papers citing papers by Anna Longo
This network shows the impact of papers produced by Anna Longo. 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 Longo. The network helps show where Anna Longo may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Longo, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 286 | |
| 2 | 2006 | 183 | |
| 3 | 2019 | 109 | |
| 4 | 1997 | 95 | |
| 5 | 1990 | 78 | |
| 6 | 1999 | 61 | |
| 7 | 2017 | 59 | |
| 8 | 2019 | 46 | |
| 9 | 2016 | 42 | |
| 10 | 2021 | 34 | |
| 11 | 1978 | 31 | |
| 12 | 2017 | 29 | |
| 13 | 2000 | 28 | |
| 14 | 2013 | 28 | |
| 15 | 1974 | 28 | |
| 16 | 1997 | 27 | |
| 17 | 2020 | 27 | |
| 18 | 2022 | 26 | |
| 19 | 1998 | 23 | |
| 20 | 2020 | 23 |
About Anna Longo
Anna Longo is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Hematology and Ophthalmology, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (23 papers), Immunotherapy and Immune Responses (14 papers), Immune Cell Function and Interaction (12 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Diabetes and associated disorders (5 papers), Retinal Diseases and Treatments (5 papers), Peptidase Inhibition and Analysis (3 papers) and Corneal Surgery and Treatments (3 papers). The work is most often cited by research in Immunology (735 citations), Transplantation (28 citations), Neurology (84 citations), Hematology (110 citations) and Virology (46 citations). Anna Longo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include G. B. Ferrara, Marco Colonna, Marina Cella, Jack L. Strominger, Pieter S. Hiemstra, Fabrizio Luppi, Klaus F. Rabe, W. de Boer, Gabriella Lupo and Carmelina Daniela Anfuso. Their work appears in journals such as Human Immunology, International Journal of Molecular Sciences, Transplantation, Occupational Medicine and The Journal of Experimental Medicine.
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.