Gian Luigi Piccinin

35 total papers · 491 total citations
24 papers, 394 citations indexed

About

Gian Luigi Piccinin is a scholar working on Clinical Biochemistry, Molecular Biology and Neurology. According to data from OpenAlex, Gian Luigi Piccinin has authored 24 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Clinical Biochemistry, 8 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Gian Luigi Piccinin's work include Metabolism and Genetic Disorders (11 papers), Neurological Disorders and Treatments (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Gian Luigi Piccinin is often cited by papers focused on Metabolism and Genetic Disorders (11 papers), Neurological Disorders and Treatments (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Gian Luigi Piccinin collaborates with scholars based in Italy and United States. Gian Luigi Piccinin's co-authors include Massimo Piccirilli, Giancarlo Finali, Giuseppe Porcellati, Gianfranco Trovarelli, Gianna Evelina De Medio, Robert V. Dorman, H Woelk, Lloyd A. Horrocks, G Porcellati and G Goracci and has published in prestigious journals such as Journal of Neurochemistry, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Journal of Neuroscience Research.

In The Last Decade

Gian Luigi Piccinin

23 papers receiving 376 citations

Author Peers

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

Author Last Decade Papers Cites
Gian Luigi Piccinin 149 108 96 95 88 24 394
Rachel Choi 88 0.6× 44 0.4× 160 1.7× 49 0.5× 137 1.6× 22 425
Chuanqin Fang 91 0.6× 43 0.4× 44 0.5× 114 1.2× 115 1.3× 27 407
Norimichi Nakamura 81 0.5× 57 0.5× 71 0.7× 191 2.0× 115 1.3× 13 363
Yeong‐Gon Choi 61 0.4× 152 1.4× 70 0.7× 98 1.0× 162 1.8× 22 429
K Oesterreich 66 0.4× 36 0.3× 129 1.3× 304 3.2× 141 1.6× 20 444
Anna Tyrtyshnaia 97 0.7× 31 0.3× 126 1.3× 157 1.7× 97 1.1× 33 418
C.A. da-Silva 62 0.4× 165 1.5× 219 2.3× 109 1.1× 99 1.1× 15 443
Arthur Kay 54 0.4× 66 0.6× 52 0.5× 192 2.0× 106 1.2× 17 433
Valentin Bragin 73 0.5× 32 0.3× 84 0.9× 236 2.5× 138 1.6× 19 416
Valérie Leduc 48 0.3× 42 0.4× 51 0.5× 174 1.8× 125 1.4× 13 420

Countries citing papers authored by Gian Luigi Piccinin

Since Specialization
Citations

This map shows the geographic impact of Gian Luigi Piccinin'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 Piccinin 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 Piccinin more than expected).

Fields of papers citing papers by Gian Luigi Piccinin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Gian Luigi Piccinin. A scholar is included among the top collaborators of Gian Luigi Piccinin 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 Piccinin. Gian Luigi Piccinin 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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