Chiara Nadai

49 total papers · 693 total citations
36 papers, 563 citations indexed

About

Chiara Nadai is a scholar working on Food Science, Plant Science and Molecular Biology. According to data from OpenAlex, Chiara Nadai has authored 36 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Food Science, 24 papers in Plant Science and 14 papers in Molecular Biology. Recurrent topics in Chiara Nadai's work include Fermentation and Sensory Analysis (30 papers), Horticultural and Viticultural Research (23 papers) and Meat and Animal Product Quality (8 papers). Chiara Nadai is often cited by papers focused on Fermentation and Sensory Analysis (30 papers), Horticultural and Viticultural Research (23 papers) and Meat and Animal Product Quality (8 papers). Chiara Nadai collaborates with scholars based in Italy, Brazil and Norway. Chiara Nadai's co-authors include Viviana Corich, Alessio Giacomini, Stefano Campanaro, Wilson José Fernandes Lemos, Laura Treu, Milena Carlot, Francesco Favaron, Barbara Bovo, Vinícius da Silva Duarte and Chiara Toniolo and has published in prestigious journals such as PLoS ONE, Food Chemistry and Applied Microbiology and Biotechnology.

In The Last Decade

Chiara Nadai

32 papers receiving 556 citations

Author Peers

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

Author						Papers	Cites
Chiara Nadai	441	346	222	81	66	36	563
Tiziana Nardi	456 1.0×	378 1.1×	153 0.7×	86 1.1×	52 0.8×	33	633
María Angélica Ganga	443 1.0×	273 0.8×	231 1.0×	86 1.1×	46 0.7×	38	555
Hennie J.J. van Vuuren	461 1.0×	301 0.9×	412 1.9×	52 0.6×	36 0.5×	21	698
H. W. Berg	425 1.0×	348 1.0×	83 0.4×	52 0.6×	57 0.9×	55	539
Alice Agarbati	503 1.1×	325 0.9×	117 0.5×	74 0.9×	34 0.5×	32	573
Rocchina Pietrafesa	525 1.2×	340 1.0×	129 0.6×	110 1.4×	44 0.7×	29	599
Cheunjit Prakitchaiwattana	520 1.2×	294 0.8×	223 1.0×	63 0.8×	50 0.8×	29	681
Paola Vagnoli	415 0.9×	317 0.9×	152 0.7×	70 0.9×	22 0.3×	29	543
Yolanda Paola Maturano	528 1.2×	465 1.3×	122 0.5×	109 1.3×	28 0.4×	31	665
Renato L. Binati	373 0.8×	297 0.9×	141 0.6×	55 0.7×	18 0.3×	21	516

Countries citing papers authored by Chiara Nadai

Since Specialization

Citations

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

Fields of papers citing papers by Chiara Nadai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Nadai

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