Massimo Castellari

4.5k citations
100 papers · 3.5k indexed · 1 hit paper · h-index 36
Topics
Fermentation and Sensory Analysis (21 papers)Meat and Animal Product Quality (15 papers)Analytical Chemistry and Chromatography (10 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Agricultural and Food ChemistryScientific Reports
Partner nations
SpainItalyNetherlands

In The Last Decade

Massimo Castellari

99 papers receiving 3.3k citations

Hit Papers

Pea protein ingredients: A mainstream ingredient to (re)f...2021202620222024202150100150200

Peers

Massimo Castellari
Comparison fields: 5 of 136
  • Food Science 1.4k
  • Plant Science 989
  • Molecular Biology 759
  • Biochemistry 552
  • Animal Science and Zoology 381
Replace Serkos A. Haroutounian with:
Serkos A. Haroutounian Greece
Matteo Scampicchio Italy
Giampiero Sacchetti Italy
Ana Barros Portugal
Heather E. Smyth Australia
Maria Beatriz Abreu Glória Brazil
Michael Murkovic Austria
Emanuele Boselli Italy
Natale G. Frega Italy
Gianni Sagratini Italy
Massimo Castellari relative to Serkos A. Haroutounian Greece Serkos A. Haroutounian's profile →
Citations per field
00.5×1.5×1.8×
Serkos A. Haroutounian · 1×
Citations per year

Countries citing papers authored by Massimo Castellari

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Castellari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Castellari

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 2
4 5
5 4
6 3
7 25
8 4
9 62
10 7
11 26
12 23
13 12
14 11
15 83
16 4
17 98
18 19
19 60
20 3

About Massimo Castellari

Massimo Castellari is a scholar working on Food Science, Biochemistry and Animal Science and Zoology, having authored 100 papers that have together received 3.5k indexed citations. Recurring topics across this work include Fermentation and Sensory Analysis (21 papers), Meat and Animal Product Quality (15 papers) and Analytical Chemistry and Chromatography (10 papers). The work is most often cited by research in Biochemistry (552 citations), Food Science (1.4k citations) and Animal Science and Zoology (381 citations). Massimo Castellari has collaborated with scholars based in Spain, Italy and Netherlands. Frequent co-authors include Fatma Boukid, Sergio Galassi, Marta Gratacós-Cubarsí, A. Amati, Cristina M. Rosell, Andrea Versari, Albert Ibarz Ribas, Alessandra Fabiani, Giuseppe Arfelli and J.A. Garcı́a-Regueiro. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

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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