Denis Macina
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Microbiology 23
- Bacterial Infections and Vaccines 23
- Epidemiology 12
- Pneumonia and Respiratory Infections 7
- Virology and Viral Diseases 3
- Influenza Virus Research Studies 3
- Respiratory viral infections research 2
- Co-authors
- Keith E. Evans (5 shared papers)Silvia M. Vidal (2 shared papers)Abdelmajid Belouchi (2 shared papers)Ahmed Zafer (2 shared papers)Seung-Hwan Lee (1 shared paper)Piet Gros (1 shared paper)Charlotte Switzer (2 shared papers)Juan C. Vargas-Zambrano (8 shared papers)
- Journals
- Infectious Diseases and Therapy (8 papers)Vaccine (7 papers)PLoS ONE (3 papers)Expert Review of Vaccines (2 papers)Nature Genetics (2 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Denis Macina
29 papers receiving 762 citations
Peers
Comparison fields: 5 of 59
- Microbiology 264
- Immunology 337
- Epidemiology 363
- Health 62
- Infectious Diseases 108
Countries citing papers authored by Denis Macina
This map shows the geographic impact of Denis Macina'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 Denis Macina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Macina more than expected).
Fields of papers citing papers by Denis Macina
This network shows the impact of papers produced by Denis Macina. 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 Denis Macina. The network helps show where Denis Macina may publish in the future.
Co-authors
The 25 scholars most cited alongside Denis Macina, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 341 | |
| 2 | 2019 | 45 | |
| 3 | 2021 | 42 | |
| 4 | 2018 | 39 | |
| 5 | 2018 | 34 | |
| 6 | 2021 | 34 | |
| 7 | 2001 | 31 | |
| 8 | 2019 | 28 | |
| 9 | 2021 | 27 | |
| 10 | 2021 | 17 | |
| 11 | 2018 | 16 | |
| 12 | 2021 | 13 | |
| 13 | 2024 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2023 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2022 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2020 | 8 |
About Denis Macina
Denis Macina is a scholar working on Microbiology, Epidemiology, Infectious Diseases, Health and Public Health, Environmental and Occupational Health, having authored 32 papers that have together received 783 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (23 papers), Pneumonia and Respiratory Infections (7 papers), Virology and Viral Diseases (3 papers), Influenza Virus Research Studies (3 papers), Vaccine Coverage and Hesitancy (2 papers), Mosquito-borne diseases and control (2 papers), Respiratory viral infections research (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Microbiology (264 citations), Immunology (337 citations), Epidemiology (363 citations), Health (62 citations) and Infectious Diseases (108 citations). Denis Macina has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Keith E. Evans, Silvia M. Vidal, Abdelmajid Belouchi, Ahmed Zafer, Seung-Hwan Lee, Piet Gros, Charlotte Switzer, Juan C. Vargas-Zambrano, Nicole Guiso and Silvia Pérez-Vilar. Their work appears in journals such as Infectious Diseases and Therapy, Vaccine, PLoS ONE, Expert Review of Vaccines and Nature Genetics.
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.