Elisabetta Gini

1.8k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Elisabetta Gini is a scholar working on Immunology, Aquatic Science and Molecular Biology. According to data from OpenAlex, Elisabetta Gini has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Aquatic Science and 4 papers in Molecular Biology. Recurrent topics in Elisabetta Gini's work include Aquaculture disease management and microbiota (5 papers), Aquaculture Nutrition and Growth (5 papers) and Aquatic life and conservation (3 papers). Elisabetta Gini is often cited by papers focused on Aquaculture disease management and microbiota (5 papers), Aquaculture Nutrition and Growth (5 papers) and Aquatic life and conservation (3 papers). Elisabetta Gini collaborates with scholars based in Italy, Spain and Malaysia. Elisabetta Gini's co-authors include Genciana Terova, Simona Rimoldi, Laura Gasco, Antonino Bruno, Barbara Bassani, Giampietro Farronato, Chiara Ascione, Matteo Fanuli, Lorenzo Mortara and Denisa Baci and has published in prestigious journals such as PLoS ONE, Oncotarget and International Journal of Nanomedicine.

In The Last Decade

Elisabetta Gini

17 papers receiving 1.3k citations

Hit Papers

Macrophage Polarization in Chronic Inflammatory Diseases:... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Macrophage Polarization in Chronic Inflammatory Diseases: Killers or Builders?
    2018 401 citations Elisabetta Gini, Denisa Baci et al. Journal of Immunology Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Elisabetta Gini Italy 15 550 410 377 307 170 17 1.3k
Wei Qiu China 20 806 1.5× 609 1.5× 79 0.2× 111 0.4× 346 2.0× 30 1.4k
Fei Zhu China 27 1.5k 2.7× 658 1.6× 417 1.1× 302 1.0× 124 0.7× 110 2.4k
John Spinelli United States 21 212 0.4× 311 0.8× 558 1.5× 39 0.1× 84 0.5× 48 1.6k
Jun Song China 25 176 0.3× 1.5k 3.8× 54 0.1× 31 0.1× 154 0.9× 81 2.3k
Ping Yang China 22 172 0.3× 545 1.3× 72 0.2× 47 0.2× 125 0.7× 107 1.5k
Hui Tao China 20 184 0.3× 447 1.1× 32 0.1× 129 0.4× 124 0.7× 68 1.1k
Zuzana Dobbie Switzerland 18 182 0.3× 927 2.3× 64 0.2× 83 0.3× 237 1.4× 30 2.2k
Suneel Kumar Onteru India 21 189 0.3× 743 1.8× 53 0.1× 23 0.1× 578 3.4× 95 1.9k
Diana García‐Moreno Spain 21 690 1.3× 573 1.4× 75 0.2× 14 0.0× 97 0.6× 40 1.4k
Stefanie Thulke Germany 9 175 0.3× 1.1k 2.8× 97 0.3× 51 0.2× 132 0.8× 12 1.8k

Countries citing papers authored by Elisabetta Gini

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Gini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Gini

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Gini. A scholar is included among the top collaborators of Elisabetta Gini 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 Elisabetta Gini. Elisabetta Gini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Gini, Elisabetta, et al.. (2023). In-vitro and In-vivo Characterization of Anti-Onychomycotic Transungual patches - A Systematic Review. Research Journal of Pharmacy and Technology. 1527–1532. 1 indexed citations
2.
Terova, Genciana, Elisabetta Gini, Laura Gasco, et al.. (2021). Effects of full replacement of dietary fishmeal with insect meal from Tenebrio molitor on rainbow trout gut and skin microbiota. Journal of Animal Science and Biotechnology. 12(1). 30–30. 91 indexed citations
3.
Rimoldi, Simona, Silvia Torrecillas, Daniel Montero, et al.. (2020). Assessment of dietary supplementation with galactomannan oligosaccharides and phytogenics on gut microbiota of European sea bass (Dicentrarchus Labrax) fed low fishmeal and fish oil based diet. PLoS ONE. 15(4). e0231494–e0231494. 69 indexed citations
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Cattoni, Maria, Lorenzo Dominioni, Albino Poli, et al.. (2019). Serum miR-223: A Validated Biomarker for Detection of Early-Stage Non–Small Cell Lung Cancer. Cancer Epidemiology Biomarkers & Prevention. 28(11). 1926–1933. 28 indexed citations
8.
Terova, Genciana, Simona Rimoldi, Chiara Ascione, et al.. (2019). Rainbow trout (Oncorhynchus mykiss) gut microbiota is modulated by insect meal from Hermetia illucens prepupae in the diet. Reviews in Fish Biology and Fisheries. 29(2). 465–486. 173 indexed citations
9.
Rimoldi, Simona, et al.. (2018). Effect of a specific composition of short- and medium- chain fatty acid 1-Monoglycerides on growth performances and gut microbiota of gilthead sea bream (Sparus aurata).. 9 indexed citations
10.
11.
Gini, Elisabetta, Denisa Baci, Matteo Fanuli, et al.. (2018). Macrophage Polarization in Chronic Inflammatory Diseases: Killers or Builders?. Journal of Immunology Research. 2018. 1–25. 401 indexed citations breakdown →
12.
Bassani, Barbara, et al.. (2017). Natural Killer Cells in the Orchestration of Chronic Inflammatory Diseases. Journal of Immunology Research. 2017. 1–13. 34 indexed citations
13.
Moretti, Francesca, Lorenzo Dominioni, Albino Poli, et al.. (2017). Systematic review and critique of circulating miRNAs as biomarkers of stage I-II non-small cell lung cancer. Oncotarget. 8(55). 94980–94996. 43 indexed citations
14.
Principi, Elisa, Rossana Girardello, Antonino Bruno, et al.. (2016). Systemic distribution of single-walled carbon nanotubes in a novel model: alteration of biochemical parameters, metabolic functions, liver accumulation, and inflammation in vivo. International Journal of Nanomedicine. Volume 11. 4299–4316. 38 indexed citations
15.
Campomenosi, Paola, Elisabetta Gini, Albino Poli, et al.. (2016). A comparison between quantitative PCR and droplet digital PCR technologies for circulating microRNA quantification in human lung cancer. BMC Biotechnology. 16(1). 60–60. 110 indexed citations
16.
Noonan, Douglas M., Laura Pulze, Antonino Bruno, et al.. (2015). Environmental impact of multi-wall carbon nanotubes in a novel model of exposure: systemic distribution, macrophage accumulation, and amyloid deposition. International Journal of Nanomedicine. 10. 6133–6133. 33 indexed citations
17.
Pulze, Laura, Barbara Bassani, Elisabetta Gini, et al.. (2015). NET amyloidogenic backbone in human activated neutrophils. Clinical & Experimental Immunology. 183(3). 469–479. 18 indexed citations

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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