Annalisa Barera

19 total papers · 512 total citations
14 papers, 427 citations indexed

About

Annalisa Barera is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Annalisa Barera has authored 14 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Immunology. Recurrent topics in Annalisa Barera's work include Nutritional Studies and Diet (4 papers), T-cell and B-cell Immunology (3 papers) and Immunotherapy and Immune Responses (3 papers). Annalisa Barera is often cited by papers focused on Nutritional Studies and Diet (4 papers), T-cell and B-cell Immunology (3 papers) and Immunotherapy and Immune Responses (3 papers). Annalisa Barera collaborates with scholars based in Italy, United States and United Kingdom. Annalisa Barera's co-authors include Sonya Vasto, Marta Di Carlo, Calogero Caruso, Pasquale Picone, Domenico Nuzzo, Luca Caruana, Elisa Messina, Silvio Buscemi, Giulia Accardi and Francesco Dieli and has published in prestigious journals such as The Journal of Infectious Diseases, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Annalisa Barera

14 papers receiving 420 citations

Author Peers

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

Author Last Decade Papers Cites
Annalisa Barera 135 115 68 57 48 14 427
Chuanbin Dai 109 0.8× 200 1.7× 53 0.8× 27 0.5× 34 0.7× 10 446
Saray Gutiérrez 78 0.6× 111 1.0× 70 1.0× 35 0.6× 34 0.7× 7 456
Veronika Schreiber 103 0.8× 248 2.2× 79 1.2× 34 0.6× 37 0.8× 20 487
Zhangping Yu 81 0.6× 128 1.1× 74 1.1× 48 0.8× 98 2.0× 13 462
William Van Der Pol 96 0.7× 187 1.6× 35 0.5× 30 0.5× 35 0.7× 16 374
Anita Nishiyama 105 0.8× 162 1.4× 65 1.0× 26 0.5× 21 0.4× 17 441
Sun Ju Choi 137 1.0× 122 1.1× 82 1.2× 28 0.5× 48 1.0× 25 477
Mònica Maijó 96 0.7× 139 1.2× 75 1.1× 36 0.6× 42 0.9× 14 457
A Perrone 145 1.1× 197 1.7× 55 0.8× 34 0.6× 15 0.3× 17 485
Fabiana Troisi 96 0.7× 106 0.9× 67 1.0× 24 0.4× 27 0.6× 15 387

Countries citing papers authored by Annalisa Barera

Since Specialization
Citations

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

Fields of papers citing papers by Annalisa Barera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annalisa Barera

This figure shows the co-authorship network connecting the top 25 collaborators of Annalisa Barera. A scholar is included among the top collaborators of Annalisa Barera 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 Annalisa Barera. Annalisa Barera 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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