Silvarosa Grassi

43 total papers · 728 total citations
31 papers, 592 citations indexed

About

Silvarosa Grassi is a scholar working on Neurology, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Silvarosa Grassi has authored 31 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 16 papers in Cellular and Molecular Neuroscience and 14 papers in Sensory Systems. Recurrent topics in Silvarosa Grassi's work include Vestibular and auditory disorders (18 papers), Neuroscience and Neuropharmacology Research (15 papers) and Hearing, Cochlea, Tinnitus, Genetics (13 papers). Silvarosa Grassi is often cited by papers focused on Vestibular and auditory disorders (18 papers), Neuroscience and Neuropharmacology Research (15 papers) and Hearing, Cochlea, Tinnitus, Genetics (13 papers). Silvarosa Grassi collaborates with scholars based in Italy, United Kingdom and Japan. Silvarosa Grassi's co-authors include Vito Enrico Pettorossi, Cristina V. Dieni, Mariangela Scarduzio, Paolo Calabresi, Alessandro Tozzi, Roberto Panichi, Mauro Zampolini, G. Della Torre, Giuseppe Capocchi and Gianfrancesco Goracci and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and The Journal of Physiology.

In The Last Decade

Silvarosa Grassi

31 papers receiving 579 citations

Author Peers

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

Author						Papers	Cites
Silvarosa Grassi	276	261	183	141	99	31	592
Cristina V. Dieni	200 0.7×	351 1.3×	93 0.5×	95 0.7×	74 0.7×	24	606
Adam B. Steinmetz	144 0.5×	260 1.0×	33 0.2×	106 0.8×	91 0.9×	26	638
Toshiro Sakamoto	80 0.3×	218 0.8×	34 0.2×	145 1.0×	86 0.9×	29	569
Massimo Zanni	90 0.3×	367 1.4×	52 0.3×	164 1.2×	15 0.2×	20	616
Janet M. Paterson	81 0.3×	180 0.7×	43 0.2×	228 1.6×	22 0.2×	28	626
June Kawano	40 0.1×	168 0.6×	57 0.3×	135 1.0×	79 0.8×	20	529
Randall L. Kohl	92 0.3×	116 0.4×	59 0.3×	98 0.7×	25 0.3×	32	564
Shouta Sugio	135 0.5×	248 1.0×	101 0.6×	178 1.3×	34 0.3×	16	642
Teizo Ueyama	88 0.3×	283 1.1×	95 0.5×	153 1.1×	12 0.1×	30	674
Nancy G. Daunton	159 0.6×	105 0.4×	77 0.4×	105 0.7×	33 0.3×	37	575

Countries citing papers authored by Silvarosa Grassi

Since Specialization

Citations

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

Fields of papers citing papers by Silvarosa Grassi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvarosa Grassi

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