A.G. de Bianchi

65 total papers · 1.5k total citations
55 papers, 1.2k citations indexed

About

A.G. de Bianchi is a scholar working on Molecular Biology, Insect Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, A.G. de Bianchi has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 24 papers in Insect Science and 20 papers in Cellular and Molecular Neuroscience. Recurrent topics in A.G. de Bianchi's work include Neurobiology and Insect Physiology Research (20 papers), Insect Resistance and Genetics (18 papers) and Insect Utilization and Effects (18 papers). A.G. de Bianchi is often cited by papers focused on Neurobiology and Insect Physiology Research (20 papers), Insect Resistance and Genetics (18 papers) and Insect Utilization and Effects (18 papers). A.G. de Bianchi collaborates with scholars based in Brazil, United States and Netherlands. A.G. de Bianchi's co-authors include Walter R. Terra, C. Ferreira, Paulo Eduardo Martins Ribolla, Osvaldo Marinotti, Margareth Lara Capurro, Sirlei Daffre, Francisco J. Lara, Antônio Miranda, Andréa Cristina Fogaça and Maria Terêsa Machini de Miranda and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Biochemical and Biophysical Research Communications.

In The Last Decade

A.G. de Bianchi

54 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
A.G. de Bianchi	621	542	297	240	231	55	1.2k
Toyoshi Yoshiga	534 0.9×	765 1.4×	232 0.8×	276 1.1×	360 1.6×	84	1.4k
Umut Toprak	763 1.2×	874 1.6×	212 0.7×	278 1.2×	343 1.5×	56	1.4k
Ellie O. Osir	289 0.5×	458 0.8×	364 1.2×	124 0.5×	168 0.7×	56	1.1k
A. E. R. Downe	570 0.9×	748 1.4×	163 0.5×	128 0.5×	329 1.4×	62	1.4k
Mário A.C. Silva-Neto	430 0.7×	415 0.8×	174 0.6×	326 1.4×	113 0.5×	54	1.4k
Lilián E. Canavoso	364 0.6×	619 1.1×	580 2.0×	224 0.9×	206 0.9×	36	1.3k
Mônica F. Moreira	448 0.7×	591 1.1×	383 1.3×	110 0.5×	144 0.6×	36	1.1k
Peter Takáč	242 0.4×	866 1.6×	289 1.0×	135 0.6×	87 0.4×	56	1.5k
Shengzhang Dong	410 0.7×	726 1.3×	150 0.5×	264 1.1×	204 0.9×	52	1.2k
Sourav Roy	606 1.0×	522 1.0×	513 1.7×	211 0.9×	168 0.7×	31	1.4k

Countries citing papers authored by A.G. de Bianchi

Since Specialization

Citations

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

Fields of papers citing papers by A.G. de Bianchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.G. de Bianchi. 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 A.G. de Bianchi. The network helps show where A.G. de Bianchi may publish in the future.

Co-authorship network of co-authors of A.G. de Bianchi

This figure shows the co-authorship network connecting the top 25 collaborators of A.G. de Bianchi. A scholar is included among the top collaborators of A.G. de Bianchi 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 A.G. de Bianchi. A.G. de Bianchi 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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