Juan A. Ayala
- Molecular Medicine top 0.05%
- Molecular Biology top 5%
- Genetics top 1%
- Endocrinology top 0.2%
- Ecology top 2%
- Co-authors
- Mohammed TerrakP. CharlierE. SauvageFrédéric KerffMiguel A. de PedroGabriel GutkindMartine Nguyen‐DistècheGuillaume Arlet
- Topics
- Antibiotic Resistance in Bacteria (52 papers)Bacterial Genetics and Biotechnology (36 papers)RNA and protein synthesis mechanisms (19 papers)
In The Last Decade
Juan A. Ayala
105 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Medicine 2.5k
- Molecular Biology 2.1k
- Genetics 1.4k
- Endocrinology 1.2k
- Ecology 765
Countries citing papers authored by Juan A. Ayala
This map shows the geographic impact of Juan A. Ayala'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 Juan A. Ayala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan A. Ayala more than expected).
Fields of papers citing papers by Juan A. Ayala
This network shows the impact of papers produced by Juan A. Ayala. 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 Juan A. Ayala. The network helps show where Juan A. Ayala may publish in the future.
Co-authorship network of co-authors of Juan A. Ayala
This figure shows the co-authorship network connecting the top 25 collaborators of Juan A. Ayala. A scholar is included among the top collaborators of Juan A. Ayala 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 Juan A. Ayala. Juan A. Ayala 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 | 7 | |
| 3 | 7 | |
| 4 | 59 | |
| 5 | 5 | |
| 6 | 30 | |
| 7 | 82 | |
| 8 | 18 | |
| 9 | 56 | |
| 10 | 14 | |
| 11 | Protección inducida por nanococleatos derivados de proteoliposomas de Leptospira interrogans serovar Canicola | 1 |
| 12 | Construcción de mutantes de Salmonella enterica por inactivación de los genes invG/invE y ssaJ/ssaK de las islas de patogenicidad 1 y 2 | 0 |
| 13 | 29 | |
| 14 | 36 | |
| 15 | 81 | |
| 16 | 35 | |
| 17 | 10 | |
| 18 | 145 | |
| 19 | 4 | |
| 20 | 1 |
About Juan A. Ayala
Juan A. Ayala is a scholar working on Molecular Medicine, Endocrinology and Genetics, having authored 106 papers that have together received 4.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (52 papers), Bacterial Genetics and Biotechnology (36 papers) and RNA and protein synthesis mechanisms (19 papers). The work is most often cited by research in Molecular Medicine (2.5k citations), Endocrinology (1.2k citations) and Applied Microbiology and Biotechnology (190 citations). Juan A. Ayala has collaborated with scholars based in Spain, Argentina and France. Frequent co-authors include Mohammed Terrak, P. Charlier, E. Sauvage, Frédéric Kerff, Miguel A. de Pedro, Gabriel Gutkind, Martine Nguyen‐Distèche, Guillaume Arlet, Gian María Rossolini and N. Woodford. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.