Javier Gómez‐Pavón
- Infectious Diseases top 10%
- Geriatrics and Gerontology top 2%
- Physiology
- Neurology
- Public Health, Environmental and Occupational Health
- Co-authors
- Pedro AbizandaIñaki Martín LesendeBeatriz Beltrán de MiguelCarmen CuadradoManuel Martínez‐SellésJulián Ruiz‐GalianaAlejandra García‐BotellaJosé Molero
- Topics
- Frailty in Older Adults (20 papers)COVID-19 Clinical Research Studies (14 papers)SARS-CoV-2 and COVID-19 Research (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Medicinal ChemistryNutrients
- Partner nations
- SpainSwitzerlandUnited States
In The Last Decade
Javier Gómez‐Pavón
68 papers receiving 629 citations
Peers
Comparison fields: 5 of 102
- Infectious Diseases 163
- Geriatrics and Gerontology 154
- Physiology 126
- Neurology 92
- Public Health, Environmental and Occupational Health 84
Countries citing papers authored by Javier Gómez‐Pavón
This map shows the geographic impact of Javier Gómez‐Pavón'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 Javier Gómez‐Pavón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Gómez‐Pavón more than expected).
Fields of papers citing papers by Javier Gómez‐Pavón
This network shows the impact of papers produced by Javier Gómez‐Pavón. 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 Javier Gómez‐Pavón. The network helps show where Javier Gómez‐Pavón may publish in the future.
Co-authorship network of co-authors of Javier Gómez‐Pavón
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Gómez‐Pavón. A scholar is included among the top collaborators of Javier Gómez‐Pavón 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 Javier Gómez‐Pavón. Javier Gómez‐Pavón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 24 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 16 | |
| 17 | Detección y valoración del anciano frágil | 1 |
| 18 | 24 | |
| 19 | Tabaco y cáncer en el anciano | 1 |
| 20 | [Preoperative geriatric assessment in major surgery in the aged]. | 1 |
About Javier Gómez‐Pavón
Javier Gómez‐Pavón is a scholar working on Geriatrics and Gerontology, Critical Care and Intensive Care Medicine and Infectious Diseases, having authored 74 papers that have together received 645 indexed citations. Recurring topics across this work include Frailty in Older Adults (20 papers), COVID-19 Clinical Research Studies (14 papers) and SARS-CoV-2 and COVID-19 Research (12 papers). The work is most often cited by research in Geriatrics and Gerontology (154 citations), Critical Care and Intensive Care Medicine (52 citations) and Infectious Diseases (163 citations). Javier Gómez‐Pavón has collaborated with scholars based in Spain, Switzerland and United States. Frequent co-authors include Pedro Abizanda, Iñaki Martín Lesende, Beatriz Beltrán de Miguel, Carmen Cuadrado, Manuel Martínez‐Sellés, Julián Ruiz‐Galiana, Alejandra García‐Botella, José Molero, Emilio Bouza and Teresa Hernández‐Sampelayo. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Nutrients.
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.