Anna Balestrieri

62 total papers · 1.0k total citations
55 papers, 717 citations indexed

About

Anna Balestrieri is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, Anna Balestrieri has authored 55 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Agronomy and Crop Science, 18 papers in Genetics and 15 papers in Animal Science and Zoology. Recurrent topics in Anna Balestrieri's work include Genetic and phenotypic traits in livestock (15 papers), Reproductive Physiology in Livestock (14 papers) and Effects of Environmental Stressors on Livestock (8 papers). Anna Balestrieri is often cited by papers focused on Genetic and phenotypic traits in livestock (15 papers), Reproductive Physiology in Livestock (14 papers) and Effects of Environmental Stressors on Livestock (8 papers). Anna Balestrieri collaborates with scholars based in Italy, Australia and Brazil. Anna Balestrieri's co-authors include Maria Luisa Balestrieri, Giuseppe Campanile, Gianluca Neglia, Nunzia D’Onofrio, Claudio Napoli, Elisa Martino, Luigi Mele, Domenico Vecchio, Francesco Paolo Mancini and R. Di Palo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and FEBS Letters.

In The Last Decade

Anna Balestrieri

52 papers receiving 696 citations

Author Peers

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

Author						Papers	Cites
Anna Balestrieri	228	192	137	136	89	55	717
Yulin Ma	248 1.1×	247 1.3×	170 1.2×	166 1.2×	74 0.8×	45	898
Xiao Wang	205 0.9×	297 1.5×	76 0.6×	98 0.7×	94 1.1×	45	789
Angelika Bondzio	102 0.4×	253 1.3×	76 0.6×	137 1.0×	69 0.8×	45	876
Diming Wang	385 1.7×	240 1.3×	197 1.4×	204 1.5×	94 1.1×	56	909
Simrinder Singh Sodhi	86 0.4×	241 1.3×	106 0.8×	165 1.2×	137 1.5×	58	823
Albeiro López Herrera	139 0.6×	117 0.6×	126 0.9×	105 0.8×	61 0.7×	122	640
Basit Zeshan	101 0.4×	231 1.2×	172 1.3×	182 1.3×	68 0.8×	53	849
Guiqin Liu	126 0.6×	243 1.3×	105 0.8×	153 1.1×	43 0.5×	83	706
Yaokun Li	197 0.9×	330 1.7×	252 1.8×	154 1.1×	80 0.9×	71	813
Arjava Sharma	234 1.0×	181 0.9×	361 2.6×	201 1.5×	26 0.3×	65	712

Countries citing papers authored by Anna Balestrieri

Since Specialization

Citations

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

Fields of papers citing papers by Anna Balestrieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Balestrieri

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