Massimo Lolli

424 total citations
10 papers, 334 citations indexed

About

Massimo Lolli is a scholar working on Food Science, Insect Science and Surfaces, Coatings and Films. According to data from OpenAlex, Massimo Lolli has authored 10 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Food Science, 5 papers in Insect Science and 3 papers in Surfaces, Coatings and Films. Recurrent topics in Massimo Lolli's work include Bee Products Chemical Analysis (5 papers), Electron and X-Ray Spectroscopy Techniques (3 papers) and Semiconductor materials and devices (3 papers). Massimo Lolli is often cited by papers focused on Bee Products Chemical Analysis (5 papers), Electron and X-Ray Spectroscopy Techniques (3 papers) and Semiconductor materials and devices (3 papers). Massimo Lolli collaborates with scholars based in Italy. Massimo Lolli's co-authors include Maria Plessi, Davide Bertelli, Giulia Papotti, S. Valeri, Giorgia Serra, Laura Bortolotti, A. G. Sabatini, Antonio Sabatini and G. Ottaviani and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Surface Science.

In The Last Decade

Massimo Lolli

8 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Massimo Lolli Italy	7	196	122	74	45	43	10	334
Ann‐Marie Williamson United Kingdom	11	49 0.3×	249 2.0×	26 0.4×	52 1.2×	56 1.3×	17	618
Brajesh Kumar Panda India	13	40 0.2×	111 0.9×	207 2.8×	19 0.4×	51 1.2×	37	565
Tamara Moiseev Ireland	10	14 0.1×	101 0.8×	30 0.4×	14 0.3×	131 3.0×	21	879
L. K. Bittner Austria	13	33 0.2×	73 0.6×	254 3.4×	46 1.0×	94 2.2×	19	434
José García-Fraga Spain	8	154 0.8×	75 0.6×	168 2.3×	12 0.3×	16 0.4×	14	350
V. A. Huck-Pezzei Austria	13	35 0.2×	59 0.5×	256 3.5×	18 0.4×	140 3.3×	21	461
Houyin Wang China	11	29 0.1×	173 1.4×	51 0.7×	50 1.1×	53 1.2×	39	488
Abera Belay Ethiopia	12	340 1.7×	209 1.7×	23 0.3×	87 1.9×	21 0.5×	19	484
A. Bakkali Morocco	13	144 0.7×	152 1.2×	139 1.9×	8 0.2×	11 0.3×	30	540
LI Shui-fang China	5	232 1.2×	157 1.3×	210 2.8×	31 0.7×	78 1.8×	13	424

Countries citing papers authored by Massimo Lolli

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Lolli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Lolli

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

All Works

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10 of 10 papers shown

Lolli, Massimo. (2023). Turpitudinum notae - La caratterizzazione dell’usurpatore nei Panegyrici Latini tardoantichi. Schwabe Verlag eBooks.

Bertelli, Davide, Massimo Lolli, Giulia Papotti, et al.. (2010). Detection of Honey Adulteration by Sugar Syrups Using One-Dimensional and Two-Dimensional High-Resolution Nuclear Magnetic Resonance. Journal of Agricultural and Food Chemistry. 58(15). 8495–8501. 134 indexed citations

Papotti, Giulia, Davide Bertelli, Massimo Lolli, A. G. Sabatini, & Maria Plessi. (2009). Methyl anthranilate content in Italian citrus honeys determined by HS‐SPME‐GC. International Journal of Food Science & Technology. 44(10). 1933–1938. 6 indexed citations

Papotti, Giulia, Davide Bertelli, Massimo Lolli, Maria Plessi, & A. G. Sabatini. (2008). Determinazione di metile antranilato in mieli di agrumi italiani mediante HS-SPME-GC. IRIS UNIMORE (University of Modena and Reggio Emilia).

Lolli, Massimo, et al.. (2008). Classification of Italian Honeys by 2D HR-NMR. Journal of Agricultural and Food Chemistry. 56(4). 1298–1304. 65 indexed citations

Bertelli, Davide, Giulia Papotti, Massimo Lolli, A. G. Sabatini, & Maria Plessi. (2007). Development of an HS-SPME-GC method to determine the methyl anthranilate in Citrus honeys. Food Chemistry. 108(1). 297–303. 28 indexed citations

Bertelli, Davide, et al.. (2006). Classification of Italian honeys by mid-infrared diffuse reflectance spectroscopy (DRIFTS). Food Chemistry. 101(4). 1565–1570. 49 indexed citations

Valeri, S., et al.. (1990). AES and EELS study of alkali-metal adsorption kinetics on either cleaved or sputtered GaAs and InP (110) surfaces. Surface Science. 238(1-3). 63–74. 15 indexed citations

Valeri, S. & Massimo Lolli. (1990). AES, EELS and XPS study of ion‐induced GaAs and InP(110) surface and subsurface modifications. Surface and Interface Analysis. 16(1-12). 59–64. 32 indexed citations

10.

Valeri, S., Massimo Lolli, & G. Ottaviani. (1990). GaAs and InP surface behaviour under ion bombardment, alkali deposition and oxygen exposure. Vacuum. 41(1-3). 643–646. 5 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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