Martí Casals
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
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- Pneumocystis jirovecii pneumonia detection and treatment
- Mycobacterium research and diagnosis
- Pneumonia and Respiratory Infections
Papers in
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- Tuberculosis Research and Epidemiology 23
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- Mycobacterium research and diagnosis 2
- Pneumonia and Respiratory Infections 1
- Pneumocystis jirovecii pneumonia detection and treatment 1
- Data-Driven Disease Surveillance 1
- Co-authors
- Joan A. Caylà (26 shared papers)Àngels Orcau (9 shared papers)Joan-Pau Millet (7 shared papers)Teresa Rodrigo (14 shared papers)Jose Antonio Caminero Luna (7 shared papers)José-María García-García (10 shared papers)Rafael Vidal (6 shared papers)Rafael Blanquer (6 shared papers)
In The Last Decade
Martí Casals
30 papers receiving 633 citations
Peers
Comparison fields: 5 of 85
- Infectious Diseases 422
- Epidemiology 182
- Modeling and Simulation 14
- Nephrology 19
- Surgery 110
Countries citing papers authored by Martí Casals
This map shows the geographic impact of Martí Casals'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 Martí Casals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martí Casals more than expected).
Fields of papers citing papers by Martí Casals
This network shows the impact of papers produced by Martí Casals. 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 Martí Casals. The network helps show where Martí Casals may publish in the future.
Co-authors
The 25 scholars most cited alongside Martí Casals, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 76 | |
| 2 | 2013 | 66 | |
| 3 | 2012 | 50 | |
| 4 | 2011 | 46 | |
| 5 | 2013 | 46 | |
| 6 | 2009 | 45 | |
| 7 | 2006 | 44 | |
| 8 | 2011 | 33 | |
| 9 | 2011 | 26 | |
| 10 | 2011 | 24 | |
| 11 | 2015 | 24 | |
| 12 | 2011 | 20 | |
| 13 | 2014 | 19 | |
| 14 | 2015 | 16 | |
| 15 | 2012 | 15 | |
| 16 | 2016 | 14 | |
| 17 | 2016 | 13 | |
| 18 | 2016 | 12 | |
| 19 | 2015 | 11 | |
| 20 | 2016 | 11 |
About Martí Casals
Martí Casals is a scholar working on Infectious Diseases, Epidemiology, Surgery, Nephrology and Polymers and Plastics, having authored 30 papers that have together received 650 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (23 papers), Diagnosis and treatment of tuberculosis (3 papers), Infectious Diseases and Tuberculosis (3 papers), Mycobacterium research and diagnosis (2 papers), Pneumonia and Respiratory Infections (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Data-Driven Disease Surveillance (1 paper) and Parathyroid Disorders and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (422 citations), Epidemiology (182 citations), Modeling and Simulation (14 citations), Nephrology (19 citations) and Surgery (110 citations). Martí Casals has collaborated with scholars based in Spain, France and Russia. Frequent co-authors include Joan A. Caylà, Àngels Orcau, Joan-Pau Millet, Teresa Rodrigo, Jose Antonio Caminero Luna, José-María García-García, Rafael Vidal, Rafael Blanquer, Juan Ruiz-Manzano and Patricia García de Olalla. Their work appears in journals such as PLoS ONE, The International Journal of Tuberculosis and Lung Disease, BMC Infectious Diseases, Respiratory Research and The Pediatric Infectious Disease 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.