Anna Sagnelli

27 total papers · 958 total citations
22 papers, 637 citations indexed

About

Anna Sagnelli is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Anna Sagnelli has authored 22 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 9 papers in Molecular Biology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Anna Sagnelli's work include Amyotrophic Lateral Sclerosis Research (8 papers), Genetic Neurodegenerative Diseases (8 papers) and Neurogenetic and Muscular Disorders Research (7 papers). Anna Sagnelli is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (8 papers), Genetic Neurodegenerative Diseases (8 papers) and Neurogenetic and Muscular Disorders Research (7 papers). Anna Sagnelli collaborates with scholars based in Italy, United Kingdom and United States. Anna Sagnelli's co-authors include Davide Pareyson, Paola Saveri, Giuseppe Piscosquito, Alfonsa Claudia Taiello, Alberto Albanese, Vincenzo La Bella, G. Tedeschi, Maria Rosaria Monsurrò, Antonio Emanuele Elia and Stefania Lalli and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Anna Sagnelli

21 papers receiving 625 citations

Author Peers

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

Author						Papers	Cites
Anna Sagnelli	275	225	172	129	90	22	637
Utako Nagaoka	273 1.0×	288 1.3×	275 1.6×	91 0.7×	48 0.5×	29	624
James T. Caroscio	432 1.6×	144 0.6×	161 0.9×	176 1.4×	83 0.9×	12	648
Tanya Stojkovic	135 0.5×	249 1.1×	149 0.9×	82 0.6×	84 0.9×	37	706
D. E. Genis	250 0.9×	303 1.3×	223 1.3×	26 0.2×	49 0.5×	22	760
Sindhu Ramchandren	259 0.9×	98 0.4×	155 0.9×	88 0.7×	64 0.7×	37	581
Elizabeth McNeil	194 0.7×	161 0.7×	102 0.6×	122 0.9×	129 1.4×	16	665
Eleonora Dalla Bella	454 1.7×	123 0.5×	122 0.7×	192 1.5×	150 1.7×	33	675
Akihiro Kawata	494 1.8×	196 0.9×	152 0.9×	279 2.2×	69 0.8×	45	698
Paul Good	257 0.9×	118 0.5×	205 1.2×	80 0.6×	124 1.4×	15	601
Dasappaiah Ganesh Rao	328 1.2×	70 0.3×	243 1.4×	91 0.7×	115 1.3×	33	740

Countries citing papers authored by Anna Sagnelli

Since Specialization

Citations

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

Fields of papers citing papers by Anna Sagnelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Sagnelli

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