Massimo Cagnin

446 total citations
18 papers, 351 citations indexed

About

Massimo Cagnin is a scholar working on Plant Science, Molecular Biology and Pollution. According to data from OpenAlex, Massimo Cagnin has authored 18 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 3 papers in Molecular Biology and 2 papers in Pollution. Recurrent topics in Massimo Cagnin's work include Plant Growth Enhancement Techniques (3 papers), Plant-Microbe Interactions and Immunity (3 papers) and Sugarcane Cultivation and Processing (3 papers). Massimo Cagnin is often cited by papers focused on Plant Growth Enhancement Techniques (3 papers), Plant-Microbe Interactions and Immunity (3 papers) and Sugarcane Cultivation and Processing (3 papers). Massimo Cagnin collaborates with scholars based in Italy, United States and Nepal. Massimo Cagnin's co-authors include Giovanna Lomolino, Anna Lante, P. Spettoli, Piergiorgio Stevanato, Chiara Broccanello, Andrea Squartini, Giuseppe Concheri, Diego Pizzeghello, Andrea Baglieri and Serenella Nardi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Massimo Cagnin

17 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Cagnin Italy 9 154 91 57 46 39 18 351
Adil El-Baouchi Morocco 11 276 1.8× 132 1.5× 27 0.5× 32 0.7× 73 1.9× 21 466
Luz García Cruzatty Ecuador 9 72 0.5× 31 0.3× 35 0.6× 42 0.9× 44 1.1× 35 305
Vera Raičević Serbia 11 195 1.3× 26 0.3× 64 1.1× 62 1.3× 15 0.4× 53 466
Amel Tammam Egypt 11 221 1.4× 44 0.5× 43 0.8× 14 0.3× 23 0.6× 23 315
Shobit Thapa India 13 358 2.3× 120 1.3× 42 0.7× 25 0.5× 136 3.5× 23 603
Elisa Monteze Bicalho Brazil 12 271 1.8× 26 0.3× 205 3.6× 28 0.6× 64 1.6× 44 543
Khurram Shehzad Baig Pakistan 11 197 1.3× 39 0.4× 55 1.0× 6 0.1× 11 0.3× 12 315
Najib El Mernissi Morocco 11 225 1.5× 253 2.8× 16 0.3× 35 0.8× 70 1.8× 17 538
A. M. A. Mazen Egypt 9 242 1.6× 14 0.2× 75 1.3× 39 0.8× 42 1.1× 15 399
Huiqing Chang China 8 100 0.6× 14 0.2× 210 3.7× 38 0.8× 16 0.4× 25 417

Countries citing papers authored by Massimo Cagnin

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Cagnin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Cagnin

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

All Works

18 of 18 papers shown
1.
Chiodi, Claudia, Silvia Celletti, Riccardo Fedeli, et al.. (2025). Multi-omics analysis reveals molecular and biochemical mechanisms underlying alkaline stress adaptation in Solanum lycopersicum L. Plant Physiology and Biochemistry. 229(Pt B). 110494–110494.
3.
Baghdadi, Ali, Massimo Cagnin, Claudia Chiodi, et al.. (2023). Molecular and ionomic responses of Solanum lycopersicum L. (cv. Micro-Tom) plants treated with a novel calcium-based plant biostimulant. Plant Gene. 34. 100408–100408. 3 indexed citations
4.
Squartini, Andrea, Giuseppe Concheri, Chiara Broccanello, et al.. (2021). Endophytic Microbiome Responses to Sulfur Availability in Beta vulgaris (L.). International Journal of Molecular Sciences. 22(13). 7184–7184. 7 indexed citations
5.
Bergamaschi, Matteo, et al.. (2019). Exploration of the effect of farm, breed, sex and animal on detailed mineral profile of beef and their latent explanatory factors. International Journal of Food Science & Technology. 55(3). 1046–1056. 11 indexed citations
6.
Chiodi, Claudia, Andrea Squartini, Giuseppe Concheri, et al.. (2019). High-Throughput Isolation of Nucleic Acids from Soil. Soil Systems. 4(1). 3–3. 10 indexed citations
7.
Heidari, Bahram, Begoña Miras‐Moreno, Luigi Lucini, et al.. (2019). Mass spectrometry-based metabolomic discrimination of Cercospora leaf spot resistant and susceptible sugar beet germplasms. Euphytica. 215(2). 5 indexed citations
8.
Barone, Valeria, Fernando Magro, Chiara Broccanello, et al.. (2019). Molecular and Morphological Changes Induced by Leonardite-based Biostimulant in Beta vulgaris L.. Plants. 8(6). 181–181. 24 indexed citations
9.
Stevanato, Piergiorgio, Chiara Broccanello, Vita Maria Cristiana Moliterni, et al.. (2018). Innovative Approaches to Evaluate Sugar Beet Responses to Changes in Sulfate Availability. Frontiers in Plant Science. 9. 14–14. 16 indexed citations
10.
Baglieri, Andrea, Piergiorgio Stevanato, Chiara Broccanello, et al.. (2017). Root morphological and molecular responses induced by microalgae extracts in sugar beet (Beta vulgaris L.). Journal of Applied Phycology. 30(2). 1061–1071. 120 indexed citations
11.
Lomolino, Giovanna, Antonella Crapisi, & Massimo Cagnin. (2016). Study of elements concentrations of European seabass ( Dicentrarchus labrax ) fillets after cooking on steel, cast iron, teflon, aluminum and ceramic pots. International Journal of Gastronomy and Food Science. 5-6. 1–9. 14 indexed citations
12.
Stevanato, Piergiorgio, et al.. (2015). Effect of sulfate availability on root traits and microRNA395 expression in sugar beet. Biologia Plantarum. 59(3). 491–496. 5 indexed citations
13.
Homagai, Puspa Lal, et al.. (2013). Adsorption of Cd (II), Cu (II), and Zn (II) from Aqueous Solution onto Nitrogen‐Functionalized Desmostachya bipinnata. SHILAP Revista de lepidopterología. 2013(1). 22 indexed citations
14.
Panuccio, Maria Rosaria, et al.. (2012). Arsenic uptake and speciation and the effects of phosphate nutrition in hydroponically grown kikuyu grass (Pennisetum clandestinum Hochst). Environmental Science and Pollution Research. 19(7). 3046–3053. 22 indexed citations
15.
Stevanato, Piergiorgio, Massimo Cagnin, & Massimo Saccomani. (2007). Meccanismi morfofisiologici di adattamento allo stress idrico-nutrizionale in barbabietola da zucchero. Research Padua Archive (University of Padua). 5. 131–136. 1 indexed citations
16.
Saccomani, Massimo, et al.. (2005). Genetic diversity for root morpho-physiological traits and productivity in sugar beet. 1 indexed citations
17.
Stevanato, Piergiorgio, et al.. (2004). Nutrient Uptake Traits Related to SugarbeetYield. Journal of Sugarbeet Research. 41(3). 89–100. 8 indexed citations
18.
Lante, Anna, Giovanna Lomolino, Massimo Cagnin, & P. Spettoli. (2004). Content and characterisation of minerals in milk and in Crescenza and Squacquerone Italian fresh cheeses by ICP-OES. Food Control. 17(3). 229–233. 80 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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