Paola Niola

29 total papers · 1.5k total citations
13 papers, 325 citations indexed

About

Paola Niola is a scholar working on Molecular Biology, Genetics and Psychiatry and Mental health. According to data from OpenAlex, Paola Niola has authored 13 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Psychiatry and Mental health. Recurrent topics in Paola Niola's work include Bipolar Disorder and Treatment (4 papers), RNA Research and Splicing (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Paola Niola is often cited by papers focused on Bipolar Disorder and Treatment (4 papers), RNA Research and Splicing (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Paola Niola collaborates with scholars based in Italy, United Kingdom and Canada. Paola Niola's co-authors include Caterina Chillotti, Alessio Squassina, Maria Del Zompo, Donatella Congiu, Gustavo Turecki, Juan Pablo López, Illana Gozes, Adva Hadar, Elena Milanesi and David Gurwitz and has published in prestigious journals such as Scientific Reports, Neuropsychopharmacology and Neuroscience Letters.

In The Last Decade

Paola Niola

10 papers receiving 323 citations

Author Peers

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

Author Last Decade Papers Cites
Paola Niola 150 104 84 83 49 13 325
Adva Hadar 173 1.2× 80 0.8× 50 0.6× 48 0.6× 24 0.5× 12 313
Yusuke Wakabayashi 130 0.9× 45 0.4× 80 1.0× 24 0.3× 65 1.3× 16 343
Tomohiko Shibata 105 0.7× 52 0.5× 17 0.2× 39 0.5× 88 1.8× 15 298
Chung‐Feng Kao 116 0.8× 71 0.7× 14 0.2× 92 1.1× 43 0.9× 13 344
Alisha A. McBride 113 0.8× 109 1.0× 23 0.3× 18 0.2× 28 0.6× 11 359
Javier Sánchez‐Ruiz de Gordoa 213 1.4× 112 1.1× 51 0.6× 19 0.2× 22 0.4× 18 344
Gemma Shireby 195 1.3× 76 0.7× 10 0.1× 62 0.7× 18 0.4× 16 316
Young-Un Park 209 1.4× 33 0.3× 21 0.3× 25 0.3× 31 0.6× 8 310
Daniela Scarabino 180 1.2× 161 1.5× 10 0.1× 53 0.6× 23 0.5× 20 363
Helena Kyunghee Kim 118 0.8× 40 0.4× 24 0.3× 129 1.6× 143 2.9× 12 359

Countries citing papers authored by Paola Niola

Since Specialization
Citations

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

Fields of papers citing papers by Paola Niola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Niola

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