Joan Gil
- Neurology top 2%
- Infectious Diseases top 5%
- Clinical Psychology top 10%
- Critical Care and Intensive Care Medicine top 2%
- Pulmonary and Respiratory Medicine
- Co-authors
- Óscar MorenoEsperanza MerinoMariano AndrésVicente BoixJosé‐Manuel León‐RamírezJosé Manuel RamosPilar González-de-la-AlejaAlexander Scholz
- Topics
- COVID-19 Clinical Research Studies (6 papers)Long-Term Effects of COVID-19 (4 papers)Pleural and Pulmonary Diseases (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe FASEB Journal
- Partner nations
- SpainSwedenUnited Kingdom
In The Last Decade
Joan Gil
16 papers receiving 706 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Neurology 461
- Infectious Diseases 318
- Clinical Psychology 218
- Critical Care and Intensive Care Medicine 175
- Pulmonary and Respiratory Medicine 164
Countries citing papers authored by Joan Gil
This map shows the geographic impact of Joan Gil'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 Joan Gil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Gil more than expected).
Fields of papers citing papers by Joan Gil
This network shows the impact of papers produced by Joan Gil. 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 Joan Gil. The network helps show where Joan Gil may publish in the future.
Co-authorship network of co-authors of Joan Gil
This figure shows the co-authorship network connecting the top 25 collaborators of Joan Gil. A scholar is included among the top collaborators of Joan Gil 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 Joan Gil. Joan Gil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 26 | |
| 5 | Post-acute COVID-19 syndrome. Incidence and risk factors: A Mediterranean cohort studybreakdown → | 436 |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 15 | |
| 9 | 27 | |
| 10 | 42 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 24 | |
| 14 | Tuberculous pleurisy with or without radiographic evidence of pulmonary disease. Is there any difference? | 16 |
| 15 | 8 | |
| 16 | 99 |
About Joan Gil
Joan Gil is a scholar working on Critical Care and Intensive Care Medicine, Infectious Diseases and Behavioral Neuroscience, having authored 16 papers that have together received 736 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (4 papers) and Pleural and Pulmonary Diseases (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (175 citations), Neurology (461 citations) and Infectious Diseases (318 citations). Joan Gil has collaborated with scholars based in Spain, Sweden and United Kingdom. Frequent co-authors include Óscar Moreno, Esperanza Merino, Mariano Andrés, Vicente Boix, José‐Manuel León‐Ramírez, José Manuel Ramos, Pilar González-de-la-Aleja, Alexander Scholz, Rosa María Sánchez Pérez and Santos Asensio Sánchez. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The FASEB Journal.
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.