Mattia Palmieri

18 total papers · 633 total citations
13 papers, 457 citations indexed

About

Mattia Palmieri is a scholar working on Molecular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Mattia Palmieri has authored 13 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Medicine, 5 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Mattia Palmieri's work include Antibiotic Resistance in Bacteria (10 papers), Bacterial biofilms and quorum sensing (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Mattia Palmieri is often cited by papers focused on Antibiotic Resistance in Bacteria (10 papers), Bacterial biofilms and quorum sensing (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Mattia Palmieri collaborates with scholars based in France, Belgium and Italy. Mattia Palmieri's co-authors include Alex van Belkum, Caroline Mirande, Laurent Poirel, Patrice Nordmann, Andreu Coello Pelegrin, José Manuel Ortiz de la Rosa, Jean‐Winoc Decousser, Hervé Jacquier, Nicolas Kieffer and Érick Denamur and has published in prestigious journals such as Scientific Reports, Antimicrobial Agents and Chemotherapy and FEMS Microbiology Reviews.

In The Last Decade

Mattia Palmieri

13 papers receiving 457 citations

Author Peers

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

Author						Papers	Cites
Mattia Palmieri	357	165	135	105	72	13	457
Renaud Chollet	314 0.9×	143 0.9×	131 1.0×	71 0.7×	58 0.8×	16	485
Jianhui Xiong	419 1.2×	178 1.1×	193 1.4×	99 0.9×	38 0.5×	10	488
Tsai-Lien Liao	446 1.2×	185 1.1×	200 1.5×	69 0.7×	92 1.3×	10	544
Jiun-Han Chen	339 0.9×	136 0.8×	138 1.0×	67 0.6×	45 0.6×	17	502
Udomluk Leungtongkam	311 0.9×	223 1.4×	150 1.1×	95 0.9×	114 1.6×	20	490
Dongxing Tian	423 1.2×	148 0.9×	196 1.5×	56 0.5×	59 0.8×	20	487
Fatma Onmus-Leone	348 1.0×	132 0.8×	135 1.0×	69 0.7×	39 0.5×	15	458
Alexander M. Wailan	448 1.3×	131 0.8×	222 1.6×	109 1.0×	52 0.7×	23	547
Jennifer L. Cottell	325 0.9×	109 0.7×	149 1.1×	157 1.5×	87 1.2×	12	498
Anna Johnning	263 0.7×	191 1.2×	68 0.5×	184 1.8×	84 1.2×	22	502

Countries citing papers authored by Mattia Palmieri

Since Specialization

Citations

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

Fields of papers citing papers by Mattia Palmieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mattia Palmieri

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