Anna Alloni

27 total papers · 531 total citations
10 papers, 228 citations indexed

About

Anna Alloni is a scholar working on Psychiatry and Mental health, Molecular Biology and Neurology. According to data from OpenAlex, Anna Alloni has authored 10 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Psychiatry and Mental health, 3 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in Anna Alloni's work include Dementia and Cognitive Impairment Research (4 papers), Biomedical Text Mining and Ontologies (2 papers) and Stroke Rehabilitation and Recovery (2 papers). Anna Alloni is often cited by papers focused on Dementia and Cognitive Impairment Research (4 papers), Biomedical Text Mining and Ontologies (2 papers) and Stroke Rehabilitation and Recovery (2 papers). Anna Alloni collaborates with scholars based in Italy, Spain and Netherlands. Anna Alloni's co-authors include Silvana Quaglini, Sara Bernini, Elena Sinforiani, Silvia Panzarasa, Caterina Valetti, Cinzia Baschirotto, Katia Cortese, Michele De Luca, Maria Teresa Bassi and Maria Vittoria Schiaffino and has published in prestigious journals such as Nature Genetics, Computer Methods and Programs in Biomedicine and Disability and Rehabilitation.

In The Last Decade

Anna Alloni

10 papers receiving 225 citations

Author Peers

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

Author Last Decade Papers Cites
Anna Alloni 90 78 63 50 46 10 228
John D. McSwigan 133 1.5× 17 0.2× 20 0.3× 34 0.7× 8 0.2× 13 306
Zhen Li 95 1.1× 10 0.1× 42 0.7× 6 0.1× 28 0.6× 15 297
Ashley M. Cowie 96 1.1× 9 0.1× 24 0.4× 10 0.2× 18 0.4× 7 312
Kai‐Ren Luo 125 1.4× 31 0.4× 15 0.2× 5 0.1× 18 0.4× 10 299
R. J. Chalmers 54 0.6× 112 1.4× 52 0.8× 77 1.5× 4 0.1× 12 325
Curtis Tatsuoka 143 1.6× 5 0.1× 70 1.1× 22 0.4× 50 1.1× 6 268
Chulmin Cho 119 1.3× 19 0.2× 22 0.3× 4 0.1× 4 0.1× 15 303
Liang Huang 79 0.9× 19 0.2× 10 0.2× 51 1.0× 4 0.1× 16 294
Annah M. Moore 128 1.4× 14 0.2× 30 0.5× 5 0.1× 4 0.1× 12 270
Juan García Caldentey 53 0.6× 17 0.2× 21 0.3× 4 0.1× 12 0.3× 6 228

Countries citing papers authored by Anna Alloni

Since Specialization
Citations

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

Fields of papers citing papers by Anna Alloni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Alloni

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