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 27
- Bacterial Infections and Vaccines 27
- Epidemiology 26
- Pneumonia and Respiratory Infections 18
- Influenza Virus Research Studies 10
- Virology and Viral Diseases 3
- Co-authors
- Keith E. Evans (5 shared papers)Ahmed Zafer (2 shared papers)Silvia M. Vidal (2 shared papers)Abdelmajid Belouchi (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)Human Vaccines & Immunotherapeutics (2 papers)Nature Genetics (2 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Denis Macina
29 papers receiving 728 citations
Peers
Comparison fields: 5 of 59
- Microbiology 267
- Immunology 330
- Epidemiology 436
- Health 101
- Infectious Diseases 140
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 | 327 | |
| 2 | 2021 | 42 | |
| 3 | 2019 | 41 | |
| 4 | 2018 | 35 | |
| 5 | 2021 | 32 | |
| 6 | 2018 | 30 | |
| 7 | 2001 | 30 | |
| 8 | 2019 | 25 | |
| 9 | 2021 | 25 | |
| 10 | 2021 | 17 | |
| 11 | 2018 | 16 | |
| 12 | 2021 | 12 | |
| 13 | 2024 | 11 | |
| 14 | 2021 | 11 | |
| 15 | 2023 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2020 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 6 |
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 740 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (27 papers), Pneumonia and Respiratory Infections (18 papers), Influenza Virus Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Vaccine Coverage and Hesitancy (4 papers), Virology and Viral Diseases (3 papers), Infectious Encephalopathies and Encephalitis (3 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Microbiology (267 citations), Immunology (330 citations), Epidemiology (436 citations), Health (101 citations) and Infectious Diseases (140 citations). Denis Macina has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Keith E. Evans, Ahmed Zafer, Silvia M. Vidal, Abdelmajid Belouchi, Seung-Hwan Lee, Piet Gros, Charlotte Switzer, Juan C. Vargas-Zambrano, Nicole Guiso and Elizabeth Merrall. Their work appears in journals such as Infectious Diseases and Therapy, Vaccine, PLoS ONE, Human Vaccines & Immunotherapeutics 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.