Nila Volpi

85 total papers · 1.4k total citations
49 papers, 891 citations indexed

About

Nila Volpi is a scholar working on Molecular Biology, Neurology and Epidemiology. According to data from OpenAlex, Nila Volpi has authored 49 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Neurology and 11 papers in Epidemiology. Recurrent topics in Nila Volpi's work include Inflammatory Myopathies and Dermatomyositis (8 papers), Systemic Sclerosis and Related Diseases (5 papers) and Peripheral Neuropathies and Disorders (5 papers). Nila Volpi is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (8 papers), Systemic Sclerosis and Related Diseases (5 papers) and Peripheral Neuropathies and Disorders (5 papers). Nila Volpi collaborates with scholars based in Italy, United States and France. Nila Volpi's co-authors include Giuseppe Valacchi, Emanuela Maioli, Karel Souček, Claudia Torricelli, Eva Slabáková, Michela Muscettola, Pasquale Annunziata, Símone Rossi, N. Giordano and Alfonso Cerase and has published in prestigious journals such as Nature Genetics, Neurology and International Journal of Molecular Sciences.

In The Last Decade

Nila Volpi

48 papers receiving 880 citations

Author Peers

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

Author Last Decade Papers Cites
Nila Volpi 315 190 105 101 99 49 891
Yu Yang 254 0.8× 253 1.3× 93 0.9× 62 0.6× 114 1.2× 69 978
Yanchao Liu 320 1.0× 162 0.9× 165 1.6× 72 0.7× 122 1.2× 81 919
Qilin Zhang 258 0.8× 203 1.1× 89 0.8× 58 0.6× 146 1.5× 62 950
Zhu Xu 523 1.7× 153 0.8× 83 0.8× 92 0.9× 139 1.4× 58 924
Bin Cai 316 1.0× 127 0.7× 64 0.6× 67 0.7× 129 1.3× 54 939
Assunta Bianco 257 0.8× 114 0.6× 90 0.9× 46 0.5× 110 1.1× 36 971
Duccio Rossi Degl’Innocenti 214 0.7× 102 0.5× 143 1.4× 110 1.1× 77 0.8× 36 716
Francesca Punzo 332 1.1× 103 0.5× 145 1.4× 84 0.8× 50 0.5× 30 1.1k
Hiroyuki Tomimitsu 318 1.0× 117 0.6× 76 0.7× 80 0.8× 291 2.9× 50 746
Seyhun Solakoğlu 245 0.8× 96 0.5× 91 0.9× 54 0.5× 76 0.8× 65 828

Countries citing papers authored by Nila Volpi

Since Specialization
Citations

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

Fields of papers citing papers by Nila Volpi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nila Volpi

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