Davide Pisu
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Tuberculosis Research and Epidemiology 10
-
- RNA and protein synthesis mechanisms 2
- Phenothiazines and Benzothiazines Synthesis and Activities 1
- Cancer therapeutics and mechanisms 1
- Co-authors
- David G. Russell (8 shared papers)Lu Huang (4 shared papers)Jennifer K. Grenier (2 shared papers)Riccardo Manganelli (3 shared papers)Giorgio Palù (2 shared papers)Agnese Serafini (2 shared papers)G. Marcela Rodríguez (2 shared papers)Henry C. Mwandumba (2 shared papers)
- Journals
- PLoS ONE (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)Mucosal Immunology (1 paper)
- Partner nations
- United StatesItalyMalawi
In The Last Decade
Davide Pisu
11 papers receiving 522 citations
Davide Pisu's Hit Papers
Peers
Comparison fields: 5 of 65
- Infectious Diseases 352
- Molecular Medicine 46
- Epidemiology 242
- Immunology 137
- Endocrinology 18
Countries citing papers authored by Davide Pisu
This map shows the geographic impact of Davide Pisu'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 Davide Pisu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Pisu more than expected).
Fields of papers citing papers by Davide Pisu
This network shows the impact of papers produced by Davide Pisu. 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 Davide Pisu. The network helps show where Davide Pisu may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Pisu, 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 | 2020 | 174 | |
| 2 | 2021 | 122 | |
| 3 | 2013 | 99 | |
| 4 | 2017 | 37 | |
| 5 | How macrophage heterogeneity affects tuberculosis disease and therapy Hit paper breakdown → | 2025 | 25 |
| 6 | 2024 | 19 | |
| 7 | 2018 | 19 | |
| 8 | 2022 | 18 | |
| 9 | 2020 | 15 | |
| 10 | 2023 | 4 | |
| 11 | 2014 | 1 | |
| 12 | 2026 | 0 |
About Davide Pisu
Davide Pisu is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Epidemiology and Computational Theory and Mathematics, having authored 12 papers that have together received 533 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Mycobacterium research and diagnosis (2 papers), Immune cells in cancer (2 papers), RNA and protein synthesis mechanisms (2 papers), Phenothiazines and Benzothiazines Synthesis and Activities (1 paper), Enzyme Structure and Function (1 paper), Adenosine and Purinergic Signaling (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (352 citations), Molecular Medicine (46 citations), Epidemiology (242 citations), Immunology (137 citations) and Endocrinology (18 citations). Davide Pisu has collaborated with scholars based in United States, Italy and Malawi. Frequent co-authors include David G. Russell, Lu Huang, Jennifer K. Grenier, Riccardo Manganelli, Giorgio Palù, Agnese Serafini, G. Marcela Rodríguez, Henry C. Mwandumba, David Mzinza and Vipin Narang. Their work appears in journals such as PLoS ONE, Nature Communications, Cell Reports, Frontiers in Cellular and Infection Microbiology and Mucosal Immunology.
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.