Marco Paolini

90 total papers · 1.1k total citations
35 papers, 351 citations indexed

About

Marco Paolini is a scholar working on Biological Psychiatry, Neurology and Clinical Psychology. According to data from OpenAlex, Marco Paolini has authored 35 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biological Psychiatry, 9 papers in Neurology and 8 papers in Clinical Psychology. Recurrent topics in Marco Paolini's work include Tryptophan and brain disorders (10 papers), Long-Term Effects of COVID-19 (7 papers) and Functional Brain Connectivity Studies (6 papers). Marco Paolini is often cited by papers focused on Tryptophan and brain disorders (10 papers), Long-Term Effects of COVID-19 (7 papers) and Functional Brain Connectivity Studies (6 papers). Marco Paolini collaborates with scholars based in Italy, Germany and Canada. Marco Paolini's co-authors include Francesco Benedetti, Mariagrazia Palladini, Sara Poletti, Patrizia Rovere‐Querini, Mario Gennaro Mazza, Andrea Falini, Benedetta Vai, Elisa Melloni, Roberto Furlan and Rebecca De Lorenzo and has published in prestigious journals such as Journal of Affective Disorders, Plastic & Reconstructive Surgery and Frontiers in Psychology.

In The Last Decade

Marco Paolini

31 papers receiving 348 citations

Author Peers

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

Author						Papers	Cites
Marco Paolini	129	91	76	57	43	35	351
Alan Kahn	26 0.2×	82 0.9×	65 0.9×	48 0.8×	32 0.7×	14	346
Jonika Tannous	50 0.4×	22 0.2×	58 0.8×	104 1.8×	47 1.1×	32	363
Zhen Tang	35 0.3×	50 0.5×	136 1.8×	40 0.7×	59 1.4×	29	333
Aoling Cai	202 1.6×	61 0.7×	19 0.3×	72 1.3×	87 2.0×	19	389
João Paulo Sousa	30 0.2×	66 0.7×	28 0.4×	34 0.6×	14 0.3×	29	355
Jessica Scaife	33 0.3×	135 1.5×	20 0.3×	117 2.1×	25 0.6×	23	386
Danielle R. Sullivan	60 0.5×	82 0.9×	21 0.3×	42 0.7×	9 0.2×	15	299
Manuel Glauco Carbone	22 0.2×	83 0.9×	50 0.7×	45 0.8×	23 0.5×	45	392
Jing Li	43 0.3×	42 0.5×	17 0.2×	94 1.6×	64 1.5×	26	360
Shin Kurose	32 0.2×	49 0.5×	39 0.5×	83 1.5×	53 1.2×	36	300

Countries citing papers authored by Marco Paolini

Since Specialization

Citations

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

Fields of papers citing papers by Marco Paolini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Paolini

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Paolini. A scholar is included among the top collaborators of Marco Paolini 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 Marco Paolini. Marco Paolini 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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