Joaquín Bernal-Bayard

34 total papers · 878 total citations
20 papers, 620 citations indexed

About

Joaquín Bernal-Bayard is a scholar working on Endocrinology, Molecular Biology and Ecology. According to data from OpenAlex, Joaquín Bernal-Bayard has authored 20 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, 9 papers in Molecular Biology and 6 papers in Ecology. Recurrent topics in Joaquín Bernal-Bayard's work include Vibrio bacteria research studies (9 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and Bacterial Genetics and Biotechnology (5 papers). Joaquín Bernal-Bayard is often cited by papers focused on Vibrio bacteria research studies (9 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and Bacterial Genetics and Biotechnology (5 papers). Joaquín Bernal-Bayard collaborates with scholars based in Spain, France and Germany. Joaquín Bernal-Bayard's co-authors include Francisco Ramos‐Morales, Jean‐Marc Ghigo, Elena Cardenal‐Muñoz, Didier Mazel, Rocío López‐Igual, Alfonso Rodríguez‐Patón, Laetitia Travier, Gouzel Karimova, Rémi Fronzes and Petya V. Krasteva and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Biotechnology.

In The Last Decade

Joaquín Bernal-Bayard

20 papers receiving 613 citations

Author Peers

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

Author Last Decade Papers Cites
Joaquín Bernal-Bayard 277 171 138 104 101 20 620
Tao Lei 270 1.0× 246 1.4× 121 0.9× 101 1.0× 116 1.1× 41 755
Magdalena Kostrzynska 320 1.2× 131 0.8× 219 1.6× 90 0.9× 74 0.7× 20 760
Lily Mijouin 237 0.9× 116 0.7× 167 1.2× 68 0.7× 71 0.7× 18 661
Lisa A. O’Donovan 208 0.8× 95 0.6× 83 0.6× 62 0.6× 91 0.9× 14 595
Smarajit Chakraborty 245 0.9× 247 1.4× 96 0.7× 105 1.0× 121 1.2× 14 646
Mercedes Zaldı́var 191 0.7× 193 1.1× 227 1.6× 111 1.1× 36 0.4× 16 670
Dianna M. Hocking 264 1.0× 281 1.6× 80 0.6× 94 0.9× 68 0.7× 31 743
Yannick Rossez 369 1.3× 127 0.7× 129 0.9× 88 0.8× 127 1.3× 32 735
Snehal Kadam 299 1.1× 88 0.5× 86 0.6× 83 0.8× 29 0.3× 24 746
Dalila Mil‐Homens 296 1.1× 123 0.7× 71 0.5× 169 1.6× 56 0.6× 44 708

Countries citing papers authored by Joaquín Bernal-Bayard

Since Specialization
Citations

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

Fields of papers citing papers by Joaquín Bernal-Bayard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joaquín Bernal-Bayard. 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 Joaquín Bernal-Bayard. The network helps show where Joaquín Bernal-Bayard may publish in the future.

Co-authorship network of co-authors of Joaquín Bernal-Bayard

This figure shows the co-authorship network connecting the top 25 collaborators of Joaquín Bernal-Bayard. A scholar is included among the top collaborators of Joaquín Bernal-Bayard 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 Joaquín Bernal-Bayard. Joaquín Bernal-Bayard 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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