Ermengol Coma
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 6
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 5
- Epidemiology top 10%
- Respiratory viral infections research 8
- Chronic Disease Management Strategies 7
- Pneumonia and Respiratory Infections 7
- Health top 10%
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- COVID-19 and healthcare impacts 12
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- Primary Care and Health Outcomes 8
- Co-authors
- Manuel MedinaFrancesc FinaLeonardo Méndez-BooEduardo HermosillaNúria MoraMireia FàbregasMència BenítezCarolina Guiriguet
- Journals
- The Lancet Regional Health - Europe (3 papers)Frontiers in Public Health (3 papers)BMC Family Practice (3 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Ermengol Coma
42 papers receiving 676 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Modeling and Simulation 77
- Infectious Diseases 182
- Epidemiology 259
- Health 58
- Oncology 173
Countries citing papers authored by Ermengol Coma
This map shows the geographic impact of Ermengol Coma'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 Ermengol Coma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ermengol Coma more than expected).
Fields of papers citing papers by Ermengol Coma
This network shows the impact of papers produced by Ermengol Coma. 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 Ermengol Coma. The network helps show where Ermengol Coma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ermengol Coma, 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 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | Effectiveness of nirsevimab immunoprophylaxis against respiratory syncytial virus-related outcomes in hospital and primary care settings: a retrospective cohort study in infants in Catalonia (Spain)breakdown → | 2024 | 50 |
| 6 | 2024 | 9 | |
| 7 | 2024 | 1 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 14 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 49 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 61 | |
| 15 | 2020 | 21 | |
| 16 | 2020 | 11 | |
| 17 | 2020 | 92 | |
| 18 | 2019 | 26 | |
| 19 | 2016 | 4 | |
| 20 | 2014 | 32 |
About Ermengol Coma
Ermengol Coma is a scholar working on Modeling and Simulation, Epidemiology, General Health Professions, Oncology and Family Practice, having authored 46 papers that have together received 686 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (12 papers), Respiratory viral infections research (8 papers), Primary Care and Health Outcomes (8 papers), Chronic Disease Management Strategies (7 papers), Pneumonia and Respiratory Infections (7 papers), COVID-19 epidemiological studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Modeling and Simulation (77 citations), Infectious Diseases (182 citations), Epidemiology (259 citations), Health (58 citations) and Oncology (173 citations). Ermengol Coma has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Manuel Medina, Francesc Fina, Leonardo Méndez-Boo, Eduardo Hermosilla, Núria Mora, Mireia Fàbregas, Mència Benítez, Carolina Guiriguet, Daniel Prieto‐Alhambra and Carmen Cabezas. Their work appears in journals such as The Lancet Regional Health - Europe, Frontiers in Public Health, BMC Family Practice, BMC Infectious Diseases and BMC Primary Care.
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.