N Martín-Casabona
- Epidemiology top 2%
- Infectious Diseases top 1%
- Surgery top 10%
- Small Animals top 1%
- Molecular Biology
- Co-authors
- Pere CollKayla LasersonSabine Rüsch–GerdesFrançoise PortaelsR. BartralotVicente García‐PatosDolors SitjasAntoni Castells
- Topics
- Tuberculosis Research and Epidemiology (19 papers)Mycobacterium research and diagnosis (19 papers)Diagnosis and treatment of tuberculosis (5 papers)
- Partner nations
- SpainUnited StatesCzechia
In The Last Decade
N Martín-Casabona
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 88
- Epidemiology 1.1k
- Infectious Diseases 1.0k
- Surgery 441
- Small Animals 246
- Molecular Biology 145
Countries citing papers authored by N Martín-Casabona
This map shows the geographic impact of N Martín-Casabona'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 N Martín-Casabona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Martín-Casabona more than expected).
Fields of papers citing papers by N Martín-Casabona
This network shows the impact of papers produced by N Martín-Casabona. 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 N Martín-Casabona. The network helps show where N Martín-Casabona may publish in the future.
Co-authorship network of co-authors of N Martín-Casabona
This figure shows the co-authorship network connecting the top 25 collaborators of N Martín-Casabona. A scholar is included among the top collaborators of N Martín-Casabona 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 N Martín-Casabona. N Martín-Casabona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 17 | |
| 5 | 43 | |
| 6 | 40 | |
| 7 | 11 | |
| 8 | 27 | |
| 9 | 38 | |
| 10 | 426 | |
| 11 | 70 | |
| 12 | 21 | |
| 13 | Non-tuberculous mycobacteria: patterns of isolation. A multi-country retrospective survey. | 183 |
| 14 | 27 | |
| 15 | 128 | |
| 16 | In vitro susceptibility of Mycobacterium kansasii to the difluorinated quinolone sparfloxacin using a broth microdilution and macrodilution MIC system. | 4 |
| 17 | Multidrug-resistant tuberculosis caused by 'W'-related strains in three immunocompetent foreign-born patients. | 11 |
| 18 | 37 | |
| 19 | 12 | |
| 20 | Diagnosis of mycobacterial infection in acquired immunodeficiency syndrome (AIDS) patients and HIV carriers. | 3 |
About N Martín-Casabona
N Martín-Casabona is a scholar working on Infectious Diseases, Epidemiology and Small Animals, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (19 papers), Mycobacterium research and diagnosis (19 papers) and Diagnosis and treatment of tuberculosis (5 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Small Animals (246 citations) and Epidemiology (1.1k citations). N Martín-Casabona has collaborated with scholars based in Spain, United States and Czechia. Frequent co-authors include Pere Coll, Kayla Laserson, Sabine Rüsch–Gerdes, Françoise Portaels, R. Bartralot, Vicente García‐Patos, Dolors Sitjas, Antoni Castells, Ramón M. Pujol and Armand Van Deun. Their work appears in journals such as Applied and Environmental Microbiology, CHEST Journal and Journal of Clinical Microbiology.
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.