Guillermo Martín-Gutiérrez
- Epidemiology
- Molecular Medicine top 5%
- Applied Microbiology and Biotechnology top 5%
- Clinical Biochemistry top 10%
- Molecular Biology
- Co-authors
- Javier AznarJosé Antonio LepeÁlvaro PascualJosé Manuel Rodríguez-MartínezJerónimo Rodríguez-BeltránJesús BlázquezJosé Miguel CisnerosCarlos Martín-Pérez
- Topics
- Antibiotic Resistance in Bacteria (9 papers)Urinary Tract Infections Management (9 papers)Bacterial Identification and Susceptibility Testing (8 papers)
In The Last Decade
Guillermo Martín-Gutiérrez
29 papers receiving 205 citations
Peers
Comparison fields: 5 of 59
- Epidemiology 108
- Molecular Medicine 73
- Applied Microbiology and Biotechnology 48
- Clinical Biochemistry 43
- Molecular Biology 33
Countries citing papers authored by Guillermo Martín-Gutiérrez
This map shows the geographic impact of Guillermo Martín-Gutiérrez'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 Guillermo Martín-Gutiérrez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Martín-Gutiérrez more than expected).
Fields of papers citing papers by Guillermo Martín-Gutiérrez
This network shows the impact of papers produced by Guillermo Martín-Gutiérrez. 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 Guillermo Martín-Gutiérrez. The network helps show where Guillermo Martín-Gutiérrez may publish in the future.
Co-authorship network of co-authors of Guillermo Martín-Gutiérrez
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Martín-Gutiérrez. A scholar is included among the top collaborators of Guillermo Martín-Gutiérrez 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 Guillermo Martín-Gutiérrez. Guillermo Martín-Gutiérrez 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 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 40 | |
| 17 | 16 | |
| 18 | ANÁLISIS TECNOLÓGICO DEL CASCO DEL PECIO KAISER (PUERTO MADRYN, PROVINCIA DEL CHUBUT). CAMBIOS Y PERSISTENCIAS EN LA TECNOLOGÍA NAVAL DE FINALES DEL SIGLO XIX | 1 |
| 19 | 13 | |
| 20 | 11 |
About Guillermo Martín-Gutiérrez
Guillermo Martín-Gutiérrez is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 32 papers that have together received 208 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (9 papers), Urinary Tract Infections Management (9 papers) and Bacterial Identification and Susceptibility Testing (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (48 citations), Molecular Medicine (73 citations) and Clinical Biochemistry (43 citations). Guillermo Martín-Gutiérrez has collaborated with scholars based in Spain, Argentina and Portugal. Frequent co-authors include Javier Aznar, José Antonio Lepe, Álvaro Pascual, José Manuel Rodríguez-Martínez, Jerónimo Rodríguez-Beltrán, Jesús Blázquez, José Miguel Cisneros, Carlos Martín-Pérez, Fernando Docobo-Pérez and Coloma Costas. Their work appears in journals such as PLoS ONE, Scientific Reports and Antimicrobial Agents and Chemotherapy.
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.