Gian Luigi Marcazzan

2.0k total citations
28 papers, 1.2k citations indexed

About

Gian Luigi Marcazzan is a scholar working on Insect Science, Food Science and Biochemistry. According to data from OpenAlex, Gian Luigi Marcazzan has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Insect Science, 13 papers in Food Science and 5 papers in Biochemistry. Recurrent topics in Gian Luigi Marcazzan's work include Bee Products Chemical Analysis (22 papers), Insect and Pesticide Research (18 papers) and Essential Oils and Antimicrobial Activity (6 papers). Gian Luigi Marcazzan is often cited by papers focused on Bee Products Chemical Analysis (22 papers), Insect and Pesticide Research (18 papers) and Essential Oils and Antimicrobial Activity (6 papers). Gian Luigi Marcazzan collaborates with scholars based in Italy, Switzerland and Bulgaria. Gian Luigi Marcazzan's co-authors include A. G. Sabatini, Vassya Bankova, Milena Popova, Stefan Bogdanov, María Fiorenza Caboni, Boryana Nikolova‐Damyanova, Abderrahmane Romane, Saverio Mannino, S. Benedetti and Iva Tsvetkova and has published in prestigious journals such as PLoS ONE, Food Chemistry and International Journal of Food Microbiology.

In The Last Decade

Gian Luigi Marcazzan

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gian Luigi Marcazzan Italy 15 898 640 266 204 135 28 1.2k
Vilma Kaškonienė Lithuania 21 912 1.0× 550 0.9× 334 1.3× 226 1.1× 224 1.7× 46 1.5k
Marisol Juan‐Borrás Spain 17 689 0.8× 485 0.8× 245 0.9× 100 0.5× 60 0.4× 29 954
Fabíola Carina Biluca Brazil 18 844 0.9× 322 0.5× 283 1.1× 82 0.4× 80 0.6× 29 1.1k
Leandro Moreira Portugal 5 1.0k 1.1× 524 0.8× 309 1.2× 163 0.8× 57 0.4× 5 1.2k
R. Fritz Argentina 19 556 0.6× 699 1.1× 146 0.5× 539 2.6× 295 2.2× 45 1.5k
A. G. Sabatini Italy 28 2.0k 2.2× 915 1.4× 329 1.2× 290 1.4× 101 0.7× 54 2.5k
Liviu Al. Mărghitaş Romania 21 1.2k 1.3× 353 0.6× 227 0.9× 195 1.0× 74 0.5× 93 1.4k
Rodica Mărgăoan Romania 18 786 0.9× 247 0.4× 200 0.8× 181 0.9× 73 0.5× 57 1.0k
Ömer Ertürk Türkiye 16 361 0.4× 376 0.6× 129 0.5× 358 1.8× 179 1.3× 113 925
Patrícia Vit Venezuela 20 1.3k 1.5× 397 0.6× 222 0.8× 202 1.0× 105 0.8× 92 1.7k

Countries citing papers authored by Gian Luigi Marcazzan

Since Specialization
Citations

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

Fields of papers citing papers by Gian Luigi Marcazzan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gian Luigi Marcazzan. 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 Gian Luigi Marcazzan. The network helps show where Gian Luigi Marcazzan may publish in the future.

Co-authorship network of co-authors of Gian Luigi Marcazzan

This figure shows the co-authorship network connecting the top 25 collaborators of Gian Luigi Marcazzan. A scholar is included among the top collaborators of Gian Luigi Marcazzan 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 Gian Luigi Marcazzan. Gian Luigi Marcazzan 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
1.
Marcazzan, Gian Luigi, et al.. (2025). Molecular detection of bee pathogens in honey from various botanical origins. PLoS ONE. 20(12). e0336324–e0336324.
2.
Cliceri, Danny, et al.. (2024). Sensory dimensions of typicality and association with affective-related responses: A study on local multifloral honey. International Journal of Gastronomy and Food Science. 38. 101055–101055.
3.
Piana, Maria Lucia, Anna Badiani, Pietro Rocculi, et al.. (2023). Influence of the Physical State of Two Monofloral Honeys on Sensory Properties and Consumer Satisfaction. Foods. 12(5). 986–986. 6 indexed citations
4.
Mucignat‐Caretta, Carla, Patrizia Bisiacchi, Gian Luigi Marcazzan, et al.. (2021). TaSCA, an Agile Survey on Chemosensory Impairments for Self-Monitoring of COVID-19 Patients: A Pilot Study. Frontiers in Neurology. 12. 633574–633574. 1 indexed citations
5.
Bertelli, Davide, et al.. (2018). Chemical composition of Italian propolis of different ecoregional origin. Journal of Apicultural Research. 57(5). 639–647. 15 indexed citations
6.
Marcazzan, Gian Luigi, et al.. (2017). A review of methods for honey sensory analysis. Journal of Apicultural Research. 57(1). 75–87. 60 indexed citations
7.
Pasini, Federica, et al.. (2013). Buckwheat honeys: Screening of composition and properties. Food Chemistry. 141(3). 2802–2811. 83 indexed citations
8.
Lušić, Dražen, Nada Vahčić, Gian Luigi Marcazzan, et al.. (2012). Chemical, Sensory and Melissopalynological Features of Croatian Common Sage (Salvia officinalis L.) Honey. 1 indexed citations
9.
Bertelli, Davide, Giulia Papotti, Laura Bortolotti, Gian Luigi Marcazzan, & Maria Plessi. (2011). 1H‐NMR Simultaneous Identification of Health‐Relevant Compounds in Propolis Extracts. Phytochemical Analysis. 23(3). 260–266. 68 indexed citations
10.
Ferioli, Federico, Gian Luigi Marcazzan, & María Fiorenza Caboni. (2007). Determination of (E)‐10‐hydroxy‐2‐decenoic acid content in pure royal jelly: A comparison between a new CZE method and HPLC. Journal of Separation Science. 30(7). 1061–1069. 43 indexed citations
11.
Popova, Milena, et al.. (2007). Chemical characteristics of poplar type propolis of different geographic origin. Apidologie. 38(3). 306–306. 144 indexed citations
12.
Zucchi, Paola, et al.. (2006). Il contenuto di etanolo nel miele per la valutazione di processi fermentativi. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 3. 18–26. 3 indexed citations
13.
Benedetti, S., Saverio Mannino, A. G. Sabatini, & Gian Luigi Marcazzan. (2004). Electronic nose and neural network use for the classification of honey. Apidologie. 35(4). 397–402. 86 indexed citations
14.
Andrighetto, Christian, Gian Luigi Marcazzan, & A. Lombardi. (2004). Use of RAPD-PCR and TTGE for the evaluation of biodiversity of whey cultures for Grana Padano cheese. Letters in Applied Microbiology. 38(5). 400–405. 28 indexed citations
15.
Popova, Milena, Vassya Bankova, Boryana Nikolova‐Damyanova, et al.. (2004). Validated methods for the quantification of biologically active constituents of poplar‐type propolis. Phytochemical Analysis. 15(4). 235–240. 304 indexed citations
16.
Giraffa, Giorgio, Christian Andrighetto, Monica Gatti, et al.. (2003). Genotypic and phenotypic diversity of Lactobacillus delbrueckii subsp. lactis strains of dairy origin. International Journal of Food Microbiology. 91(2). 129–139. 52 indexed citations
17.
Popova, Milena, et al.. (2003). Poplar type propolis and analysis of its biologically active components. 24(2). 61–66. 5 indexed citations
18.
Marcazzan, Gian Luigi, et al.. (2001). The analytical determination of sugars in honey [Italy]. 1 indexed citations
19.
Barbattini, R., et al.. (1992). Apicultural interest of Metcalfa pruinosa: production and physico-chemical characteristics of honeydew honey.. Postgraduate Medicine. 83(1). 5–11. 2 indexed citations
20.
Sabatini, A. G., et al.. (1990). Glucide spectrum in the main Italian unifloral honeys. II. Di- and trisaccharides.. 63–70. 6 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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