Giuseppina Daniela Naimo

39 total papers · 714 total citations
26 papers, 560 citations indexed

About

Giuseppina Daniela Naimo is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Giuseppina Daniela Naimo has authored 26 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Epidemiology and 8 papers in Cancer Research. Recurrent topics in Giuseppina Daniela Naimo's work include Adipokines, Inflammation, and Metabolic Diseases (10 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Biomarkers in Disease Mechanisms (3 papers). Giuseppina Daniela Naimo is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (10 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Biomarkers in Disease Mechanisms (3 papers). Giuseppina Daniela Naimo collaborates with scholars based in Italy, United States and Spain. Giuseppina Daniela Naimo's co-authors include Sebastiano Andò, Loredana Mauro, Luca Gelsomino, Stefania Catalano, Maria Luisa Panno, Ines Barone, Cinzia Giordano, Salvatore Panza, Daniela Bonofiglio and Antonella Leggio and has published in prestigious journals such as Langmuir, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Giuseppina Daniela Naimo

24 papers receiving 558 citations

Author Peers

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

Author						Papers	Cites
Giuseppina Daniela Naimo	243	165	154	142	108	26	560
Sneha Sundaram	313 1.3×	126 0.8×	91 0.6×	173 1.2×	220 2.0×	37	698
Nicolás Tobar	266 1.1×	119 0.7×	65 0.4×	98 0.7×	81 0.8×	29	652
Yin Jin	180 0.7×	108 0.7×	112 0.7×	161 1.1×	80 0.7×	43	685
Yuling Shen	167 0.7×	92 0.6×	84 0.5×	113 0.8×	41 0.4×	18	545
Jiana Huang	320 1.3×	88 0.5×	98 0.6×	92 0.6×	41 0.4×	33	567
Haibin Hao	336 1.4×	148 0.9×	61 0.4×	64 0.5×	56 0.5×	28	601
Dina H. Kassem	201 0.8×	58 0.4×	116 0.8×	47 0.3×	89 0.8×	32	575
Yun‐Ui Bae	403 1.7×	164 1.0×	175 1.1×	55 0.4×	216 2.0×	23	697
Yiqing Mao	239 1.0×	107 0.6×	68 0.4×	107 0.8×	49 0.5×	29	552
Jiehan Li	258 1.1×	125 0.8×	76 0.5×	67 0.5×	83 0.8×	39	626

Countries citing papers authored by Giuseppina Daniela Naimo

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppina Daniela Naimo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giuseppina Daniela Naimo. 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 Giuseppina Daniela Naimo. The network helps show where Giuseppina Daniela Naimo may publish in the future.

Co-authorship network of co-authors of Giuseppina Daniela Naimo

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppina Daniela Naimo. A scholar is included among the top collaborators of Giuseppina Daniela Naimo 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 Giuseppina Daniela Naimo. Giuseppina Daniela Naimo 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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