Barbara Lombardo

80 total papers · 1.2k total citations
61 papers, 812 citations indexed

About

Barbara Lombardo is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Barbara Lombardo has authored 61 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 21 papers in Molecular Biology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Barbara Lombardo's work include Exercise and Physiological Responses (10 papers), Genomic variations and chromosomal abnormalities (9 papers) and Genetics and Neurodevelopmental Disorders (8 papers). Barbara Lombardo is often cited by papers focused on Exercise and Physiological Responses (10 papers), Genomic variations and chromosomal abnormalities (9 papers) and Genetics and Neurodevelopmental Disorders (8 papers). Barbara Lombardo collaborates with scholars based in Italy, Finland and United States. Barbara Lombardo's co-authors include Olga Scudiero, Lucio Pastore, Raffaela Pero, Mariarita Brancaccio, Sonia Laneri, Giulia Frisso, Cristina Mazzaccara, Cristina Mennitti, Annaluisa Ranieri and Giovanni D’Alicandro and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Barbara Lombardo

57 papers receiving 795 citations

Author Peers

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

Author Last Decade Papers Cites
Barbara Lombardo 254 151 110 91 87 61 812
Feng Jiang 301 1.2× 141 0.9× 206 1.9× 71 0.8× 167 1.9× 72 1.0k
Muhammad Tariq 345 1.4× 160 1.1× 66 0.6× 66 0.7× 99 1.1× 67 738
Cristina Mazzaccara 312 1.2× 99 0.7× 87 0.8× 252 2.8× 90 1.0× 54 967
Vivek Choudhary 255 1.0× 98 0.6× 45 0.4× 47 0.5× 79 0.9× 75 1.0k
Morton D. Prager 374 1.5× 74 0.5× 106 1.0× 38 0.4× 56 0.6× 76 1.1k
Franziska Koch 209 0.8× 70 0.5× 68 0.6× 85 0.9× 36 0.4× 59 893
Szu‐Yun Leu 185 0.7× 64 0.4× 67 0.6× 50 0.5× 115 1.3× 40 1.0k
Panpan Lu 253 1.0× 44 0.3× 173 1.6× 36 0.4× 59 0.7× 45 703
Yucel Akgul 268 1.1× 62 0.4× 102 0.9× 58 0.6× 353 4.1× 34 997
Silvia Perego 582 2.3× 48 0.3× 76 0.7× 42 0.5× 71 0.8× 49 1.0k

Countries citing papers authored by Barbara Lombardo

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Lombardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Lombardo

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