Silvia Licciulli

22 total papers · 602 total citations
8 papers, 467 citations indexed

About

Silvia Licciulli is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Silvia Licciulli has authored 8 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Silvia Licciulli's work include Retinoids in leukemia and cellular processes (2 papers), Microtubule and mitosis dynamics (2 papers) and Genomics and Chromatin Dynamics (2 papers). Silvia Licciulli is often cited by papers focused on Retinoids in leukemia and cellular processes (2 papers), Microtubule and mitosis dynamics (2 papers) and Genomics and Chromatin Dynamics (2 papers). Silvia Licciulli collaborates with scholars based in United States, Italy and Switzerland. Silvia Licciulli's co-authors include Scott Troutman, Joseph L. Kissil, Smitha Kota, Chun Zhou, Myriam Alcalay, Ronen Marmorstein, Qin Liu, Sergio G. Durón, David A. Campbell and Jonathan Chernoff and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Oncogene.

In The Last Decade

Silvia Licciulli

8 papers receiving 465 citations

Author Peers

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

Author						Papers	Cites
Silvia Licciulli	364	127	83	60	59	8	467
Akito Nakamura	321 0.9×	119 0.9×	56 0.7×	63 1.1×	56 0.9×	13	418
Nicola Ferrari	354 1.0×	208 1.6×	108 1.3×	36 0.6×	59 1.0×	12	517
Ami Albihn	323 0.9×	127 1.0×	83 1.0×	32 0.5×	38 0.6×	8	426
Sarah A Molton	434 1.2×	182 1.4×	62 0.7×	69 1.1×	48 0.8×	8	534
Muriel Aubert	448 1.2×	127 1.0×	59 0.7×	58 1.0×	77 1.3×	10	543
Marco Mazzoletti	413 1.1×	181 1.4×	97 1.2×	46 0.8×	56 0.9×	11	542
Jason P. Frazier	398 1.1×	160 1.3×	94 1.1×	36 0.6×	42 0.7×	12	499
J Tian	377 1.0×	193 1.5×	83 1.0×	35 0.6×	55 0.9×	7	493
Ceri M. Wiggins	404 1.1×	111 0.9×	59 0.7×	56 0.9×	61 1.0×	12	491
Do‐Sun Byun	380 1.0×	127 1.0×	102 1.2×	75 1.3×	38 0.6×	8	505

Countries citing papers authored by Silvia Licciulli

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Licciulli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Licciulli

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