M.G. Quaglia

69 total papers · 1.2k total citations
59 papers, 1.1k citations indexed

About

M.G. Quaglia is a scholar working on Spectroscopy, Biomedical Engineering and Pharmacology. According to data from OpenAlex, M.G. Quaglia has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Spectroscopy, 25 papers in Biomedical Engineering and 17 papers in Pharmacology. Recurrent topics in M.G. Quaglia's work include Analytical Chemistry and Chromatography (32 papers), Microfluidic and Capillary Electrophoresis Applications (20 papers) and Analytical Methods in Pharmaceuticals (15 papers). M.G. Quaglia is often cited by papers focused on Analytical Chemistry and Chromatography (32 papers), Microfluidic and Capillary Electrophoresis Applications (20 papers) and Analytical Methods in Pharmaceuticals (15 papers). M.G. Quaglia collaborates with scholars based in Italy, Belgium and France. M.G. Quaglia's co-authors include Salvatore Fanali, E. Bossù, Enrica Donati, Pietro Mazzeo, Giuseppe Carlucci, A. Farina, Giovanni D’Orazio, Giancarlo Palumbo, Nicoletta Desideri and Renato Barbieri and has published in prestigious journals such as Polymer, Journal of Chromatography A and Analytica Chimica Acta.

In The Last Decade

M.G. Quaglia

59 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
M.G. Quaglia	486	357	300	241	167	59	1.1k
M. David Osselton	450 0.9×	369 1.0×	208 0.7×	275 1.1×	219 1.3×	53	1.5k
Mehmet Gümüştaş	411 0.8×	315 0.9×	253 0.8×	275 1.1×	137 0.8×	69	1.2k
María Inés Rocha Miritello Santoro	318 0.7×	413 1.2×	176 0.6×	152 0.6×	228 1.4×	75	1.2k
Alireza Shafaati	351 0.7×	453 1.3×	134 0.4×	192 0.8×	228 1.4×	64	1.1k
Zbigniew Fijałek	215 0.4×	467 1.3×	167 0.6×	222 0.9×	141 0.8×	63	1.3k
G. Van der Weken	452 0.9×	639 1.8×	298 1.0×	266 1.1×	201 1.2×	66	1.4k
Yannis Dotsikas	346 0.7×	382 1.1×	206 0.7×	356 1.5×	224 1.3×	86	1.5k
Anthony F. Fell	833 1.7×	634 1.8×	380 1.3×	177 0.7×	127 0.8×	55	1.2k
Su‐Hwei Chen	434 0.9×	324 0.9×	396 1.3×	282 1.2×	371 2.2×	76	1.2k
H. Lamparczyk	782 1.6×	451 1.3×	374 1.2×	189 0.8×	174 1.0×	83	1.4k

Countries citing papers authored by M.G. Quaglia

Since Specialization

Citations

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

Fields of papers citing papers by M.G. Quaglia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.G. Quaglia. 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 M.G. Quaglia. The network helps show where M.G. Quaglia may publish in the future.

Co-authorship network of co-authors of M.G. Quaglia

This figure shows the co-authorship network connecting the top 25 collaborators of M.G. Quaglia. A scholar is included among the top collaborators of M.G. Quaglia 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 M.G. Quaglia. M.G. Quaglia 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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