Fabián Sanchis‐Gomar
- Cardiology and Cardiovascular Medicine top 0.5%
- Physiology top 0.5%
- Molecular Biology top 5%
- Oncology top 2%
- Infectious Diseases top 1%
- Co-authors
- Giuseppe LippiAlejandro LucíaBrandon Michael HenryHélios Pareja-GaleanoGianfranco CervellinCarme Pérez-QuilisCarl J. LavieRoman Leischik
- Topics
- Cardiovascular Effects of Exercise (37 papers)Adipose Tissue and Metabolism (32 papers)COVID-19 Clinical Research Studies (26 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- SpainItalyUnited States
In The Last Decade
Fabián Sanchis‐Gomar
263 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Cardiology and Cardiovascular Medicine 2.8k
- Physiology 2.5k
- Molecular Biology 1.7k
- Oncology 1.4k
- Infectious Diseases 1.4k
Countries citing papers authored by Fabián Sanchis‐Gomar
This map shows the geographic impact of Fabián Sanchis‐Gomar'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 Fabián Sanchis‐Gomar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabián Sanchis‐Gomar more than expected).
Fields of papers citing papers by Fabián Sanchis‐Gomar
This network shows the impact of papers produced by Fabián Sanchis‐Gomar. 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 Fabián Sanchis‐Gomar. The network helps show where Fabián Sanchis‐Gomar may publish in the future.
Co-authorship network of co-authors of Fabián Sanchis‐Gomar
This figure shows the co-authorship network connecting the top 25 collaborators of Fabián Sanchis‐Gomar. A scholar is included among the top collaborators of Fabián Sanchis‐Gomar 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 Fabián Sanchis‐Gomar. Fabián Sanchis‐Gomar 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 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 48 | |
| 8 | 26 | |
| 9 | 48 | |
| 10 | 89 | |
| 11 | 269 | |
| 12 | 253 | |
| 13 | 116 | |
| 14 | 21 | |
| 15 | 12 | |
| 16 | 79 | |
| 17 | 16 | |
| 18 | 31 | |
| 19 | 29 | |
| 20 | 2 |
About Fabián Sanchis‐Gomar
Fabián Sanchis‐Gomar is a scholar working on Aging, Cardiology and Cardiovascular Medicine and Rehabilitation, having authored 273 papers that have together received 11.6k indexed citations. Recurring topics across this work include Cardiovascular Effects of Exercise (37 papers), Adipose Tissue and Metabolism (32 papers) and COVID-19 Clinical Research Studies (26 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.8k citations), Rehabilitation (729 citations) and Physiology (2.5k citations). Fabián Sanchis‐Gomar has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Giuseppe Lippi, Alejandro Lucía, Brandon Michael Henry, Hélios Pareja-Galeano, Gianfranco Cervellin, Carme Pérez-Quilis, Carl J. Lavie, Roman Leischik, Mari Carmen Gómez‐Cabrera and Gian Luca Salvagno. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.
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.