Guido Siccardi
- Infectious Diseases
- Epidemiology
- Neurology
- Immunology
- Applied Microbiology and Biotechnology top 10%
- Co-authors
- Claudio Maria MastroianniAlessandra OlivaMario VendittiPaolo PalangeGiancarlo CeccarelliParni NijhawanCamilla AjassaBlerta Kertusha
- Topics
- COVID-19 Clinical Research Studies (6 papers)SARS-CoV-2 and COVID-19 Research (3 papers)Pneumonia and Respiratory Infections (3 papers)
- Cited by
- Applied Microbiology and BiotechnologyInfectious DiseasesCritical Care and Intensive Care Medicine
- Partner nations
- ItalyNetherlandsUnited States
In The Last Decade
Guido Siccardi
9 papers receiving 160 citations
Peers
Comparison fields: 5 of 45
- Infectious Diseases 102
- Epidemiology 56
- Neurology 48
- Immunology 20
- Applied Microbiology and Biotechnology 18
Countries citing papers authored by Guido Siccardi
This map shows the geographic impact of Guido Siccardi'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 Guido Siccardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Siccardi more than expected).
Fields of papers citing papers by Guido Siccardi
This network shows the impact of papers produced by Guido Siccardi. 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 Guido Siccardi. The network helps show where Guido Siccardi may publish in the future.
Co-authorship network of co-authors of Guido Siccardi
This figure shows the co-authorship network connecting the top 25 collaborators of Guido Siccardi. A scholar is included among the top collaborators of Guido Siccardi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guido Siccardi. Guido Siccardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | Convalescent plasma for haematological patients with SARS-CoV-2 pneumonia and severe depletion of B-cell lymphocytes following anti-CD20 therapy: a single-centre experience and review of the literature | 7 |
| 5 | 5 | |
| 6 | 62 | |
| 7 | 3 | |
| 8 | 18 | |
| 9 | 43 |
About Guido Siccardi
Guido Siccardi is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Virology, having authored 9 papers that have together received 163 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (18 citations), Infectious Diseases (102 citations) and Critical Care and Intensive Care Medicine (18 citations). Guido Siccardi has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Claudio Maria Mastroianni, Alessandra Oliva, Mario Venditti, Paolo Palange, Giancarlo Ceccarelli, Parni Nijhawan, Camilla Ajassa, Blerta Kertusha, Raffaella Marocco and Maria Rosa Ciardi. Their work appears in journals such as Frontiers in Immunology, Medicine and AIDS Research and Human Retroviruses.
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.