Hugo López‐Gatell
- Epidemiology top 5%
- Infectious Diseases top 2%
- Modeling and Simulation top 1%
- Public Health, Environmental and Occupational Health top 10%
- Sociology and Political Science
- Co-authors
- Celia Alpuche‐ArandaM. Arantxa ColcheroMauricio HernándezStefano BertozziGerardo ChowellMark A. MillerMauricio Hernández‐ÁvilaRuy López‐Ridaura
- Topics
- COVID-19 epidemiological studies (7 papers)Influenza Virus Research Studies (6 papers)Viral Infections and Vectors (6 papers)
- Partner nations
- MexicoUnited StatesItaly
In The Last Decade
Hugo López‐Gatell
46 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Epidemiology 847
- Infectious Diseases 604
- Modeling and Simulation 219
- Public Health, Environmental and Occupational Health 213
- Sociology and Political Science 96
Countries citing papers authored by Hugo López‐Gatell
This map shows the geographic impact of Hugo López‐Gatell'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 Hugo López‐Gatell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugo López‐Gatell more than expected).
Fields of papers citing papers by Hugo López‐Gatell
This network shows the impact of papers produced by Hugo López‐Gatell. 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 Hugo López‐Gatell. The network helps show where Hugo López‐Gatell may publish in the future.
Co-authorship network of co-authors of Hugo López‐Gatell
This figure shows the co-authorship network connecting the top 25 collaborators of Hugo López‐Gatell. A scholar is included among the top collaborators of Hugo López‐Gatell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hugo López‐Gatell. Hugo López‐Gatell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 48 | |
| 3 | 34 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 69 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | The 2009 pandemic in Mexico: Experience and lessons regarding national preparedness policies for seasonal and epidemic influenza. | 18 |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 41 | |
| 14 | 37 | |
| 15 | 19 | |
| 16 | 54 | |
| 17 | 47 | |
| 18 | 17 | |
| 19 | Severe Respiratory Disease Concurrent with the Circulation of H1N1 Influenzabreakdown → | 533 |
| 20 | 31 |
About Hugo López‐Gatell
Hugo López‐Gatell is a scholar working on Modeling and Simulation, Infectious Diseases and Virology, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Influenza Virus Research Studies (6 papers) and Viral Infections and Vectors (6 papers). The work is most often cited by research in Modeling and Simulation (219 citations), Infectious Diseases (604 citations) and Epidemiology (847 citations). Hugo López‐Gatell has collaborated with scholars based in Mexico, United States and Italy. Frequent co-authors include Celia Alpuche‐Aranda, M. Arantxa Colchero, Mauricio Hernández, Stefano Bertozzi, Gerardo Chowell, Mark A. Miller, Mauricio Hernández‐Ávila, Ruy López‐Ridaura, Ietza Bojórquez and Ricardo Cortés-Alcalá. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and American Journal of Clinical Nutrition.
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.