Giulia Russo
- Modeling and Simulation top 5%
- Health Informatics top 5%
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 10
- Tuberculosis Research and Epidemiology 6
- Geriatrics and Gerontology top 10%
-
- vaccines and immunoinformatics approaches 19
- Gene Regulatory Network Analysis 13
-
- Multiple Sclerosis Research Studies 10
-
- Computational Drug Discovery Methods 9
-
- Influenza Virus Research Studies 6
-
- Immunotherapy and Immune Responses 6
- Co-authors
- Francesco PappalardoMarzio PennisiMarco VicecontiSanto MottaFlora T. MusuambaMurray A. RuddJoseph LoscalzoYingyi Zhang
- Journals
- BMC Bioinformatics (8 papers)Computational and Structural Biotechnology Journal (5 papers)Bioinformatics (4 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Giulia Russo
101 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 170
- Modeling and Simulation 87
- Health Informatics 25
- Infectious Diseases 286
- Cardiology and Cardiovascular Medicine 315
- Geriatrics and Gerontology 43
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2022 | 0 | |
| 5 | 2022 | 39 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 33 | |
| 11 | 2019 | 18 | |
| 12 | 2017 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 24 | |
| 15 | 2016 | 106 | |
| 16 | 2016 | 92 | |
| 17 | 2015 | 19 | |
| 18 | 2014 | 3 | |
| 19 | 2007 | 21 | |
| 20 | 1997 | 5 |
About Giulia Russo
Giulia Russo is a scholar working on Modeling and Simulation, Archeology, Cardiology and Cardiovascular Medicine, Infectious Diseases and Space and Planetary Science, having authored 113 papers that have together received 1.9k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (19 papers), Gene Regulatory Network Analysis (13 papers), Multiple Sclerosis Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Computational Drug Discovery Methods (9 papers), Influenza Virus Research Studies (6 papers), Tuberculosis Research and Epidemiology (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Modeling and Simulation (87 citations), Health Informatics (25 citations), Infectious Diseases (286 citations), Cardiology and Cardiovascular Medicine (315 citations) and Geriatrics and Gerontology (43 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, Murray A. Rudd, Joseph Loscalzo, Yingyi Zhang, John E. Jones and Lisa A. Mendes. Their work appears in journals such as BMC Bioinformatics, Computational and Structural Biotechnology Journal, Bioinformatics, Expert Opinion on Drug Discovery and Briefings in Bioinformatics.
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.