Silvia Cacciatore

20 total papers · 717 total citations
12 papers, 216 citations indexed

About

Silvia Cacciatore is a scholar working on Hematology, Organic Chemistry and Experimental and Cognitive Psychology. According to data from OpenAlex, Silvia Cacciatore has authored 12 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 4 papers in Organic Chemistry and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Silvia Cacciatore's work include Chronic Myeloid Leukemia Treatments (5 papers), Creativity in Education and Neuroscience (4 papers) and Cultural Industries and Urban Development (3 papers). Silvia Cacciatore is often cited by papers focused on Chronic Myeloid Leukemia Treatments (5 papers), Creativity in Education and Neuroscience (4 papers) and Cultural Industries and Urban Development (3 papers). Silvia Cacciatore collaborates with scholars based in Italy, United States and Australia. Silvia Cacciatore's co-authors include Gilberto Fisone, Jean‐Antoine Girault, Myriam Heiman, Emanuela Santini, Denis Hervé, Cristina Alcacer, Emmanuel Valjent, Paul Greengard, Fabrizio Panozzo and Massimo Breccia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Journal of Neurochemistry.

In The Last Decade

Silvia Cacciatore

9 papers receiving 212 citations

Author Peers

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

Author						Papers	Cites
Silvia Cacciatore	120	83	63	41	34	12	216
Garret M. K. Leung	65 0.5×	19 0.2×	63 1.0×	68 1.7×	37 1.1×	10	210
Patrizia Dacci	118 1.0×	140 1.7×	23 0.4×	17 0.4×	10 0.3×	9	222
Sharon Muggeo	77 0.6×	72 0.9×	153 2.4×	8 0.2×	11 0.3×	13	282
Christopher Halfpenny	51 0.4×	32 0.4×	48 0.8×	8 0.2×	23 0.7×	9	170
Atesh Worthington	120 1.0×	42 0.5×	170 2.7×	69 1.7×	20 0.6×	11	308
Susann Li	28 0.2×	62 0.7×	98 1.6×	19 0.5×	17 0.5×	12	229
Marcus McLeod	116 1.0×	35 0.4×	187 3.0×	19 0.5×	38 1.1×	13	316
Jacques J. P. van de Kamp	139 1.2×	43 0.5×	102 1.6×	27 0.7×	11 0.3×	9	313
Liudmila Romanova	75 0.6×	37 0.4×	198 3.1×	9 0.2×	15 0.4×	20	319
Amar Mubaidin	88 0.7×	151 1.8×	125 2.0×	6 0.1×	28 0.8×	10	298

Countries citing papers authored by Silvia Cacciatore

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Cacciatore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Cacciatore

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