José Manuel Bruna

19 total papers · 1.1k total citations
11 papers, 872 citations indexed

About

José Manuel Bruna is a scholar working on Molecular Biology, Animal Science and Zoology and Insect Science. According to data from OpenAlex, José Manuel Bruna has authored 11 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Animal Science and Zoology and 2 papers in Insect Science. Recurrent topics in José Manuel Bruna's work include Meat and Animal Product Quality (11 papers), Protein Hydrolysis and Bioactive Peptides (10 papers) and Polyamine Metabolism and Applications (8 papers). José Manuel Bruna is often cited by papers focused on Meat and Animal Product Quality (11 papers), Protein Hydrolysis and Bioactive Peptides (10 papers) and Polyamine Metabolism and Applications (8 papers). José Manuel Bruna collaborates with scholars based in Spain and United Kingdom. José Manuel Bruna's co-authors include Lorenzo de la Hoz, Juan Antonio Ordóñez Pereda, Eva Hierro, Manuela Fernández, Beatriz Herranz, Donald S. Mottram and Carmen Pin and has published in prestigious journals such as Trends in Food Science & Technology, Critical Reviews in Food Science and Nutrition and International Journal of Food Microbiology.

In The Last Decade

José Manuel Bruna

11 papers receiving 835 citations

Author Peers

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

Author Last Decade Papers Cites
José Manuel Bruna 746 507 381 179 66 11 872
Siriporn Riebroy 591 0.8× 436 0.9× 390 1.0× 80 0.4× 104 1.6× 20 841
Riitta Kivikari 585 0.8× 260 0.5× 371 1.0× 127 0.7× 103 1.6× 11 979
Mari Ann Tørngren 642 0.9× 194 0.4× 310 0.8× 123 0.7× 89 1.3× 18 829
Chutima Thongkaew 419 0.6× 245 0.5× 384 1.0× 95 0.5× 91 1.4× 14 791
Jinhong Zang 621 0.8× 526 1.0× 487 1.3× 75 0.4× 198 3.0× 24 1.0k
José Luís Navarro 519 0.7× 261 0.5× 372 1.0× 85 0.5× 123 1.9× 25 862
María C. García Fontán 539 0.7× 371 0.7× 465 1.2× 67 0.4× 121 1.8× 27 854
Vladimiros Lougovois 775 1.0× 321 0.6× 240 0.6× 95 0.5× 96 1.5× 20 992
Peijun Li 627 0.8× 226 0.4× 463 1.2× 105 0.6× 104 1.6× 27 874
Zhan Huang 374 0.5× 365 0.7× 218 0.6× 64 0.4× 88 1.3× 22 774

Countries citing papers authored by José Manuel Bruna

Since Specialization
Citations

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

Fields of papers citing papers by José Manuel Bruna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Manuel Bruna. 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 José Manuel Bruna. The network helps show where José Manuel Bruna may publish in the future.

Co-authorship network of co-authors of José Manuel Bruna

This figure shows the co-authorship network connecting the top 25 collaborators of José Manuel Bruna. A scholar is included among the top collaborators of José Manuel Bruna 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 José Manuel Bruna. José Manuel Bruna 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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