Gabriele Pollara
Impact in
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- Antibiotic Use and Resistance
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- T-cell and B-cell Immunology
Papers in
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- Antibiotic Use and Resistance 5
- Immunology 17
- Immunotherapy and Immune Responses 12
- T-cell and B-cell Immunology 7
- Immune Response and Inflammation 3
- Co-authors
- Benny ChainDavid R. KatzClaude KrummenacherMahdad NoursadeghiRobert S. CoffinAntonia KwanMichael MarksNikolai V. Naoumov
- Journals
- PLoS ONE (3 papers)Frontiers in Immunology (2 papers)The Journal of Immunology (2 papers)The Journal of Infectious Diseases (2 papers)Journal of Antimicrobial Chemotherapy (2 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Gabriele Pollara
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Applied Microbiology and Biotechnology 74
- Immunology 451
- Virology 66
- Infectious Diseases 228
- Epidemiology 393
Countries citing papers authored by Gabriele Pollara
This map shows the geographic impact of Gabriele Pollara'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 Gabriele Pollara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Pollara more than expected).
Fields of papers citing papers by Gabriele Pollara
This network shows the impact of papers produced by Gabriele Pollara. 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 Gabriele Pollara. The network helps show where Gabriele Pollara may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriele Pollara, 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 | 5 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 31 | |
| 9 | 2020 | 29 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 23 | |
| 12 | 2019 | 3 | |
| 13 | 2018 | 15 | |
| 14 | 2016 | 31 | |
| 15 | 2016 | 35 | |
| 16 | 2016 | 50 | |
| 17 | 2010 | 4 | |
| 18 | 2008 | 45 | |
| 19 | 2004 | 36 | |
| 20 | 2003 | 102 |
About Gabriele Pollara
Gabriele Pollara is a scholar working on Applied Microbiology and Biotechnology, Immunology, Infectious Diseases, Microbiology and Molecular Medicine, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (7 papers), Herpesvirus Infections and Treatments (6 papers), Antibiotic Use and Resistance (5 papers), Tuberculosis Research and Epidemiology (4 papers), COVID-19 Clinical Research Studies (4 papers), Infectious Diseases and Tuberculosis (4 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (74 citations), Immunology (451 citations), Virology (66 citations), Infectious Diseases (228 citations) and Epidemiology (393 citations). Gabriele Pollara has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Benny Chain, David R. Katz, Claude Krummenacher, Mahdad Noursadeghi, Robert S. Coffin, Antonia Kwan, Michael Marks, Nikolai V. Naoumov, Jennifer Roe and Sarah Logan. Their work appears in journals such as PLoS ONE, Frontiers in Immunology, The Journal of Immunology, The Journal of Infectious Diseases and Journal of Antimicrobial Chemotherapy.
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.