Fernando Lázaro‐Perona
- Molecular Medicine top 5%
- Molecular Biology
- Infectious Diseases
- Endocrinology top 10%
- Clinical Biochemistry top 10%
- Co-authors
- Jesús MingoranceJulio García‐RodríguezGuillermo Ruíz-CarrascosoRafael CantónLinda FalgenhauerYancheng YaoLucas Domı́nguezCan Imirzalioglu
- Topics
- Antibiotic Resistance in Bacteria (13 papers)Antimicrobial Resistance in Staphylococcus (6 papers)Bacterial Identification and Susceptibility Testing (6 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Fernando Lázaro‐Perona
23 papers receiving 223 citations
Peers
Comparison fields: 5 of 43
- Molecular Medicine 134
- Molecular Biology 74
- Infectious Diseases 61
- Endocrinology 59
- Clinical Biochemistry 40
Countries citing papers authored by Fernando Lázaro‐Perona
This map shows the geographic impact of Fernando Lázaro‐Perona'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 Fernando Lázaro‐Perona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Lázaro‐Perona more than expected).
Fields of papers citing papers by Fernando Lázaro‐Perona
This network shows the impact of papers produced by Fernando Lázaro‐Perona. 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 Fernando Lázaro‐Perona. The network helps show where Fernando Lázaro‐Perona may publish in the future.
Co-authorship network of co-authors of Fernando Lázaro‐Perona
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Lázaro‐Perona. A scholar is included among the top collaborators of Fernando Lázaro‐Perona 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 Fernando Lázaro‐Perona. Fernando Lázaro‐Perona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 10 | |
| 12 | 14 | |
| 13 | 22 | |
| 14 | 12 | |
| 15 | 17 | |
| 16 | 4 | |
| 17 | 19 | |
| 18 | 49 | |
| 19 | 17 | |
| 20 | 15 |
About Fernando Lázaro‐Perona
Fernando Lázaro‐Perona is a scholar working on Molecular Medicine, Endocrinology and Clinical Biochemistry, having authored 24 papers that have together received 226 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Bacterial Identification and Susceptibility Testing (6 papers). The work is most often cited by research in Molecular Medicine (134 citations), Endocrinology (59 citations) and Applied Microbiology and Biotechnology (15 citations). Fernando Lázaro‐Perona has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Jesús Mingorance, Julio García‐Rodríguez, Guillermo Ruíz-Carrascoso, Rafael Cantón, Linda Falgenhauer, Yancheng Yao, Lucas Domı́nguez, Can Imirzalioglu, Trinad Chakraborty and Rosa Gómez-Gil. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology and Emerging infectious diseases.
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.