Matteo Nioi

57 total papers · 1.1k total citations
37 papers, 630 citations indexed

About

Matteo Nioi is a scholar working on Ophthalmology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matteo Nioi has authored 37 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ophthalmology, 10 papers in Molecular Biology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matteo Nioi's work include Glaucoma and retinal disorders (12 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Corneal surgery and disorders (8 papers). Matteo Nioi is often cited by papers focused on Glaucoma and retinal disorders (12 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Corneal surgery and disorders (8 papers). Matteo Nioi collaborates with scholars based in Italy and Russia. Matteo Nioi's co-authors include Ernesto d’Aloja, Pietro Emanuele Napoli, Maurizio Fossarello, Emanuela Locci, Roberto Demontis, Fabio De‐Giorgio, Alberto Chighine, Matteo Stocchero, Antonio Noto and Gabriele Finco and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Matteo Nioi

32 papers receiving 618 citations

Author Peers

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

Author						Papers	Cites
Matteo Nioi	210	183	156	132	102	37	630
Pietro Emanuele Napoli	443 2.1×	369 2.0×	64 0.4×	55 0.4×	225 2.2×	46	778
Axel Gehl	44 0.2×	218 1.2×	122 0.8×	60 0.5×	50 0.5×	62	656
Sibylle Banaschak	53 0.3×	99 0.5×	74 0.5×	74 0.6×	51 0.5×	83	651
Hermann Vogel	50 0.2×	343 1.9×	88 0.6×	32 0.2×	31 0.3×	51	627
Stephen D. Cohle	39 0.2×	57 0.3×	24 0.2×	44 0.3×	45 0.4×	49	696
Tanja Germerott	83 0.4×	494 2.7×	112 0.7×	28 0.2×	84 0.8×	59	745
Isabella Aquila	17 0.1×	82 0.4×	55 0.4×	62 0.5×	41 0.4×	84	580
Martina Focardi	27 0.1×	168 0.9×	91 0.6×	129 1.0×	48 0.5×	64	661
W. J. Kleemann	26 0.1×	44 0.2×	39 0.3×	77 0.6×	45 0.4×	37	721
Scott A. Larson	120 0.6×	39 0.2×	12 0.1×	157 1.2×	56 0.5×	56	770

Countries citing papers authored by Matteo Nioi

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Nioi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Nioi

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