Valeria Pecci

20 total papers · 578 total citations
12 papers, 438 citations indexed

About

Valeria Pecci is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Valeria Pecci has authored 12 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Valeria Pecci's work include Liver Disease Diagnosis and Treatment (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cancer-related molecular mechanisms research (2 papers). Valeria Pecci is often cited by papers focused on Liver Disease Diagnosis and Treatment (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cancer-related molecular mechanisms research (2 papers). Valeria Pecci collaborates with scholars based in Italy, United States and Russia. Valeria Pecci's co-authors include Giuseppe Mancia, Giuseppe Boari, Stefano Carugo, Monica Failla, Cristina Giannattasio, Stefano Maggiolini, G. Bolla, Luigi Roffi, Massimo Pozzi and Guıdo Grassı and has published in prestigious journals such as Hepatology, The Journal of Physiology and Journal of Hepatology.

In The Last Decade

Valeria Pecci

9 papers receiving 424 citations

Author Peers

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

Author						Papers	Cites
Valeria Pecci	219	200	119	116	77	12	438
Larry Burdick	139 0.6×	273 1.4×	70 0.6×	100 0.9×	83 1.1×	16	452
Ron Kerr	63 0.3×	134 0.7×	91 0.8×	69 0.6×	67 0.9×	14	480
Jessica Glen	67 0.3×	168 0.8×	65 0.5×	39 0.3×	81 1.1×	8	367
S. Fargion	71 0.3×	210 1.1×	251 2.1×	37 0.3×	40 0.5×	12	477
Jildou Hoekstra	204 0.9×	157 0.8×	44 0.4×	17 0.1×	170 2.2×	9	376
Stylianos Karvounaris	63 0.3×	126 0.6×	54 0.5×	43 0.4×	30 0.4×	10	487
D. Salomon	82 0.4×	110 0.6×	60 0.5×	19 0.2×	153 2.0×	15	438
Minoru Kashiwagi	69 0.3×	81 0.4×	17 0.1×	93 0.8×	109 1.4×	12	438
Laura Napoleone	252 1.2×	247 1.2×	62 0.5×	89 0.8×	143 1.9×	9	481
E A Meinhard	71 0.3×	100 0.5×	24 0.2×	9 0.1×	83 1.1×	13	390

Countries citing papers authored by Valeria Pecci

Since Specialization

Citations

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

Fields of papers citing papers by Valeria Pecci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Pecci

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