G. Sirabian

18 total papers · 510 total citations
9 papers, 402 citations indexed

About

G. Sirabian is a scholar working on Pathology and Forensic Medicine, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, G. Sirabian has authored 9 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 2 papers in Psychiatry and Mental health and 1 paper in Molecular Biology. Recurrent topics in G. Sirabian's work include Multiple Sclerosis Research Studies (4 papers), Dementia and Cognitive Impairment Research (2 papers) and S100 Proteins and Annexins (1 paper). G. Sirabian is often cited by papers focused on Multiple Sclerosis Research Studies (4 papers), Dementia and Cognitive Impairment Research (2 papers) and S100 Proteins and Annexins (1 paper). G. Sirabian collaborates with scholars based in Italy, United Kingdom and United States. G. Sirabian's co-authors include Massimo Filippi, A. Campi, Margherita Alberoni, Vittorio Martinelli, Giancarlo Comi, N. Canal, Gıancarlo Comı, N. Canal, Marco Rovaris and S. Mammì and has published in prestigious journals such as NeuroImage, Electroencephalography and Clinical Neurophysiology and Journal of the Neurological Sciences.

In The Last Decade

G. Sirabian

6 papers receiving 381 citations

Author Peers

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

Author						Papers	Cites
G. Sirabian	348	134	70	64	53	9	402
Marietta Hoogs	315 0.9×	80 0.6×	61 0.9×	30 0.5×	50 0.9×	10	418
A. Jønsson	295 0.8×	105 0.8×	41 0.6×	45 0.7×	35 0.7×	11	343
Mario Falcini	317 0.9×	198 1.5×	77 1.1×	28 0.4×	66 1.2×	13	427
Janek Vilisaar	259 0.7×	78 0.6×	41 0.6×	46 0.7×	53 1.0×	8	392
B. Khatri	335 1.0×	157 1.2×	42 0.6×	25 0.4×	40 0.8×	7	442
Jelena Dačković	267 0.8×	132 1.0×	58 0.8×	26 0.4×	75 1.4×	18	420
Zsuzsanna Liptak	314 0.9×	109 0.8×	78 1.1×	40 0.6×	52 1.0×	6	358
Mor Lavie	296 0.9×	118 0.9×	58 0.8×	22 0.3×	51 1.0×	8	376
Francesca Possa	374 1.1×	93 0.7×	87 1.2×	41 0.6×	45 0.8×	7	436
Andrew Parry	255 0.7×	79 0.6×	54 0.8×	33 0.5×	59 1.1×	14	368

Countries citing papers authored by G. Sirabian

Since Specialization

Citations

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

Fields of papers citing papers by G. Sirabian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Sirabian

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