Carmen Palermo

58 total papers · 1.3k total citations
50 papers, 1.1k citations indexed

About

Carmen Palermo is a scholar working on Food Science, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Carmen Palermo has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Food Science, 14 papers in Molecular Biology and 12 papers in Animal Science and Zoology. Recurrent topics in Carmen Palermo's work include Pesticide Residue Analysis and Safety (14 papers), Mycotoxins in Agriculture and Food (9 papers) and Meat and Animal Product Quality (7 papers). Carmen Palermo is often cited by papers focused on Pesticide Residue Analysis and Safety (14 papers), Mycotoxins in Agriculture and Food (9 papers) and Meat and Animal Product Quality (7 papers). Carmen Palermo collaborates with scholars based in Italy, Serbia and Spain. Carmen Palermo's co-authors include Diego Centonze, Marilena Muscarella, Donatella Nardiello, Marco Iammarino, Maurizio Quinto, Annalisa Mentana, T. Rotunno, Antonio Eugenio Chiaravalle, Michele Mangiacotti and Aurelia Di Taranto and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of Chromatography A.

In The Last Decade

Carmen Palermo

48 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Carmen Palermo	342	296	269	226	187	50	1.1k
Yijuan Su	416 1.2×	231 0.8×	175 0.7×	323 1.4×	114 0.6×	36	980
Chao Han	300 0.9×	393 1.3×	227 0.8×	204 0.9×	100 0.5×	62	1.1k
Donatella Nardiello	258 0.8×	205 0.7×	172 0.6×	142 0.6×	191 1.0×	59	901
M. Voldřich	352 1.0×	281 0.9×	204 0.8×	112 0.5×	158 0.8×	63	1.2k
Dan Zhu	429 1.3×	186 0.6×	118 0.4×	148 0.7×	154 0.8×	38	1.1k
Yongming Liu	301 0.9×	398 1.3×	290 1.1×	252 1.1×	119 0.6×	67	1.2k
Baifen Huang	384 1.1×	462 1.6×	204 0.8×	242 1.1×	114 0.6×	48	1.2k
H. Scherz	260 0.8×	227 0.8×	192 0.7×	116 0.5×	232 1.2×	52	1.1k
Peng Li	224 0.7×	367 1.2×	199 0.7×	166 0.7×	79 0.4×	55	1.1k
Natasa P. Kalogiouri	290 0.8×	274 0.9×	134 0.5×	449 2.0×	208 1.1×	74	1.1k

Countries citing papers authored by Carmen Palermo

Since Specialization

Citations

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

Fields of papers citing papers by Carmen Palermo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Palermo

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