Juan Alcalá

8 total papers · 453 total citations
5 papers, 374 citations indexed

About

Juan Alcalá is a scholar working on Infectious Diseases, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Juan Alcalá has authored 5 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Epidemiology and 2 papers in Clinical Biochemistry. Recurrent topics in Juan Alcalá's work include Bacterial Identification and Susceptibility Testing (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Antibiotic Use and Resistance (2 papers). Juan Alcalá is often cited by papers focused on Bacterial Identification and Susceptibility Testing (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Antibiotic Use and Resistance (2 papers). Juan Alcalá collaborates with scholars based in Spain and United States. Juan Alcalá's co-authors include Álvaro Pascual, Rafael Cantón, Juan Pablo Horcajada, Carmen Peña, Fabio Grill, Teresa Tórtola, José Miguel Cisneros, María Esteve, Jesús Rodríguez‐Baño and Gemma Navarro and has published in prestigious journals such as Journal of Antimicrobial Chemotherapy, Revista Española de Cardiología and Enfermedades Infecciosas y Microbiología Clínica.

In The Last Decade

Juan Alcalá

5 papers receiving 360 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Juan Alcalá 274 230 89 80 63 5 374
Jennifer Sekeres 244 0.9× 194 0.8× 62 0.7× 69 0.9× 98 1.6× 7 376
F. Grobost 317 1.2× 172 0.7× 136 1.5× 57 0.7× 54 0.9× 11 374
Ameet Hingwe 230 0.8× 156 0.7× 84 0.9× 72 0.9× 58 0.9× 7 363
V. Bautista 335 1.2× 149 0.6× 171 1.9× 32 0.4× 61 1.0× 7 434
Yuag-Meng Liu 193 0.7× 131 0.6× 75 0.8× 89 1.1× 68 1.1× 8 358
Bharat C. Patel 265 1.0× 107 0.5× 116 1.3× 63 0.8× 82 1.3× 11 412
M.E. Cano 266 1.0× 140 0.6× 87 1.0× 71 0.9× 100 1.6× 9 357
M. Kazma 347 1.3× 134 0.6× 155 1.7× 113 1.4× 72 1.1× 10 433
Panagiota Lourida 243 0.9× 93 0.4× 59 0.7× 73 0.9× 130 2.1× 14 432
D. Hoban 161 0.6× 180 0.8× 61 0.7× 41 0.5× 114 1.8× 12 400

Countries citing papers authored by Juan Alcalá

Since Specialization
Citations

This map shows the geographic impact of Juan Alcalá'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 Alcalá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Alcalá more than expected).

Fields of papers citing papers by Juan Alcalá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Alcalá. 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 Alcalá. The network helps show where Juan Alcalá may publish in the future.

Co-authorship network of co-authors of Juan Alcalá

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Alcalá. A scholar is included among the top collaborators of Juan Alcalá 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 Alcalá. Juan Alcalá is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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