Donatella Callegari

23 total papers · 412 total citations
15 papers, 345 citations indexed

About

Donatella Callegari is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Donatella Callegari has authored 15 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Computational Theory and Mathematics. Recurrent topics in Donatella Callegari's work include Computational Drug Discovery Methods (6 papers), Axon Guidance and Neuronal Signaling (6 papers) and Chromatography in Natural Products (4 papers). Donatella Callegari is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Axon Guidance and Neuronal Signaling (6 papers) and Chromatography in Natural Products (4 papers). Donatella Callegari collaborates with scholars based in Italy, United Kingdom and United States. Donatella Callegari's co-authors include Alessio Lodola, Marco Mor, Silvia Rivara, Daniele Pala, Massimiliano Tognolini, Carmine Giorgio, Elisabetta Barocelli, Christopher Woods, Adrian J. Mulholland and Marcello Tiseo and has published in prestigious journals such as ACS Catalysis, Journal of Medicinal Chemistry and Chemistry - A European Journal.

In The Last Decade

Donatella Callegari

15 papers receiving 344 citations

Author Peers

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

Author						Papers	Cites
Donatella Callegari	181	74	72	59	57	15	345
T Wieland	163 0.9×	17 0.2×	31 0.4×	81 1.4×	35 0.6×	17	398
Imteyaz Qamar	145 0.8×	21 0.3×	71 1.0×	24 0.4×	34 0.6×	27	367
Mónika Bálint	236 1.3×	12 0.2×	68 0.9×	34 0.6×	36 0.6×	23	360
Mikko Ylilauri	223 1.2×	30 0.4×	72 1.0×	32 0.5×	45 0.8×	7	377
Lixin Li	210 1.2×	23 0.3×	19 0.3×	15 0.3×	27 0.5×	14	346
Michael J. Banker	189 1.0×	19 0.3×	50 0.7×	85 1.4×	21 0.4×	6	363
Amin Nowroozi	250 1.4×	18 0.2×	24 0.3×	72 1.2×	67 1.2×	21	338
Juan Aranda	258 1.4×	32 0.4×	20 0.3×	11 0.2×	35 0.6×	21	367
Shanthi Nagarajan	203 1.1×	76 1.0×	47 0.7×	52 0.9×	50 0.9×	22	380
Koteswara Rao Valasani	182 1.0×	17 0.2×	77 1.1×	28 0.5×	101 1.8×	14	351

Countries citing papers authored by Donatella Callegari

Since Specialization

Citations

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

Fields of papers citing papers by Donatella Callegari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donatella Callegari

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