Giulia Russo
Impact in
- Modeling and Simulation top 5%
- Health Informatics top 5%
Papers in
-
- vaccines and immunoinformatics approaches 14
- Gene Regulatory Network Analysis 13
- Bioinformatics and Genomic Networks 7
-
- Chemotherapy-induced cardiotoxicity and mitigation 6
- Co-authors
- Francesco Pappalardo (74 shared papers)Marzio Pennisi (32 shared papers)Marco Viceconti (11 shared papers)Santo Motta (12 shared papers)Flora T. Musuamba (3 shared papers)Joseph Loscalzo (1 shared paper)Lisa A. Mendes (1 shared paper)Yingyi Zhang (1 shared paper)
- Journals
- BMC Bioinformatics (8 papers)Computational and Structural Biotechnology Journal (5 papers)Bioinformatics (4 papers)Briefings in Bioinformatics (3 papers)BioMed Research International (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Giulia Russo
112 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 172
- Modeling and Simulation 81
- Health Informatics 23
- Infectious Diseases 253
- Cardiology and Cardiovascular Medicine 257
- Immunology 178
Countries citing papers authored by Giulia Russo
This map shows the geographic impact of Giulia Russo'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 Giulia Russo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Russo more than expected).
Fields of papers citing papers by Giulia Russo
This network shows the impact of papers produced by Giulia Russo. 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 Giulia Russo. The network helps show where Giulia Russo may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Russo, 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 189 | |
| 2 | 2002 | 128 | |
| 3 | 2016 | 111 | |
| 4 | 2016 | 99 | |
| 5 | 2021 | 91 | |
| 6 | 2014 | 87 | |
| 7 | 2015 | 63 | |
| 8 | 2014 | 54 | |
| 9 | 2020 | 54 | |
| 10 | 2022 | 48 | |
| 11 | 2016 | 48 | |
| 12 | 2019 | 47 | |
| 13 | 2023 | 42 | |
| 14 | 2016 | 37 | |
| 15 | 2020 | 36 | |
| 16 | 2000 | 36 | |
| 17 | 2015 | 33 | |
| 18 | 2021 | 33 | |
| 19 | 2014 | 32 | |
| 20 | 2020 | 32 |
About Giulia Russo
Giulia Russo is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Epidemiology and Immunology, having authored 121 papers that have together received 2.1k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (14 papers), Gene Regulatory Network Analysis (13 papers), Multiple Sclerosis Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Bioinformatics and Genomic Networks (7 papers), Chemotherapy-induced cardiotoxicity and mitigation (6 papers), Computational Drug Discovery Methods (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Modeling and Simulation (81 citations), Health Informatics (23 citations), Infectious Diseases (253 citations), Cardiology and Cardiovascular Medicine (257 citations) and Immunology (178 citations). Giulia Russo has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Francesco Pappalardo, Marzio Pennisi, Marco Viceconti, Santo Motta, Flora T. Musuamba, Joseph Loscalzo, Lisa A. Mendes, Yingyi Zhang, John E. Jones and Murray A. Rudd. Their work appears in journals such as BMC Bioinformatics, Computational and Structural Biotechnology Journal, Bioinformatics, Briefings in Bioinformatics and BioMed Research International.
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.