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.
High-level adherence to a Mediterranean diet beneficially impacts the gut microbiota and associated metabolome
20151.2k citationsCamilla Lazzi, Erasmo Neviani et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Erasmo Neviani
Since
Specialization
Citations
This map shows the geographic impact of Erasmo Neviani'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 Erasmo Neviani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erasmo Neviani more than expected).
This network shows the impact of papers produced by Erasmo Neviani. 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 Erasmo Neviani. The network helps show where Erasmo Neviani may publish in the future.
Co-authorship network of co-authors of Erasmo Neviani
This figure shows the co-authorship network connecting the top 25 collaborators of Erasmo Neviani.
A scholar is included among the top collaborators of Erasmo Neviani 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 Erasmo Neviani. Erasmo Neviani is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lindner, Juliano De Dea, Marcela Santarelli, Caroline Tiemi Yamaguishi, et al.. (2011). Recovery and Identification of Bovine Colostrum Microflora Using Traditional and Molecular Approaches. Food Technology and Biotechnology. 49(3). 364–368.17 indexed citations
Carminati, Domenico, et al.. (2002). Traditional ricotta cheese. Survey of the microbioogical quality and its shelf-life [Lombardy].3 indexed citations
13.
Carminati, Domenico, et al.. (2002). Qualità microbiologica e conservabilità della ricotta vaccina tradizionale. 41. 549–555.1 indexed citations
14.
Neviani, Erasmo, Franca Rossi, Maria Emanuela Fornasari, Franco Dellaglio, & Sandra Torriani. (2002). Aminopeptidase activities of Propionibacterium freudenreichii dairy isolates. Annals of Microbiology. 52(3). 275–282.3 indexed citations
Gatti, Monica, Maria Emanuela Fornasari, Germano Mucchetti, Francesco Addeo, & Erasmo Neviani. (2000). Growth of lactic acid bacteria and kinetics of release of some related peptidase activities in hard cooked cheeses produced following different thermal cycles of cheese-making.. 51(3). 133–142.1 indexed citations
17.
Giraffa, Giorgio, et al.. (2000). Phenotypic and genotypic characterization of lactic acid bacteria isolated from Pecorino Toscano cheese. Italian Journal of Food Science. 12(3). 303–316.25 indexed citations
18.
Gatti, Monica, et al.. (1999). Relationship between acidification capacity in milk, presence of yeast extract, proteolytic and peptidase activities in Lactobacillus helveticus species. 17(1). 23–31.2 indexed citations
19.
Long, Miao, et al.. (1999). The influence of temperature on the autolytic activity of thermophilic lactobacilli. 17(1). 33–38.3 indexed citations
20.
Neviani, Erasmo, et al.. (1982). Ruolo degli enterococchi nei formaggi italiani. 3: Loro sviluppo ed attivita in formaggi a media maturazione..2 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.