Chiara Bellei

1.1k total citations
10 papers, 849 citations indexed

About

Chiara Bellei is a scholar working on Neurology, Cell Biology and Molecular Biology. According to data from OpenAlex, Chiara Bellei has authored 10 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 5 papers in Cell Biology and 2 papers in Molecular Biology. Recurrent topics in Chiara Bellei's work include melanin and skin pigmentation (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Chiara Bellei is often cited by papers focused on melanin and skin pigmentation (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Chiara Bellei collaborates with scholars based in Italy, United States and Poland. Chiara Bellei's co-authors include Luigi Zecca, Fabio A. Zucca, Luigi Casella, Alberto Albertini, M. Engelen, Tadeusz Sarna, Enrico Monzani, Andrzej Żądło, Grzegorz Szewczyk and Mariusz Zaręba and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Neurochemistry.

In The Last Decade

Chiara Bellei

10 papers receiving 844 citations

Peers

Chiara Bellei

NEURO

CMN

NEURO

Antonella Stroppolo United States

Vincent Ries Germany

Michael X. Henderson United States

Dayne Beccano-Kelly United Kingdom

Preeti G. Joshi India

Maiko Uemura Japan

Fabian Maass Germany

Gaia Faustini Italy

Chiara Ballini Italy

Francesca Vaglini Italy

Antonella Stroppolo United States

Chiara Bellei

317 ×0.8

NEURO

192 ×0.9

189 ×0.9

CMN

179 ×0.9

148 ×1.1

NEURO

Citations per year, relative to Chiara Bellei Chiara Bellei (= 1×) peers Antonella Stroppolo

Countries citing papers authored by Chiara Bellei

Since Specialization

Citations

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

Fields of papers citing papers by Chiara Bellei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Bellei

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Bellei. A scholar is included among the top collaborators of Chiara Bellei 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 Chiara Bellei. Chiara Bellei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Zucca, Fabio A., Andrea Capucciati, Chiara Bellei, et al.. (2022). Neuromelanins in brain aging and Parkinson's disease: synthesis, structure, neuroinflammatory, and neurodegenerative role. IUBMB Life. 75(1). 55–65. 44 indexed citations

Cassidy, Clifford, Fabio A. Zucca, Ragy R. Girgis, et al.. (2019). Neuromelanin-sensitive MRI as a noninvasive proxy measure of dopamine function in the human brain. Proceedings of the National Academy of Sciences. 116(11). 5108–5117. 150 indexed citations

Zucca, Fabio A., Renzo Vanna, Francesca Anna Cupaioli, et al.. (2018). Neuromelanin organelles are specialized autolysosomes that accumulate undegraded proteins and lipids in aging human brain and are likely involved in Parkinson’s disease. npj Parkinson s Disease. 4(1). 17–17. 104 indexed citations

Zecca, Luigi, Chiara Bellei, Pierluigi Mauri, et al.. (2015). The protective and toxic role of neuromelanins in brain aging and Parkinson’s disease. SpringerPlus. 4(S1). 3 indexed citations

Engelen, M., Renzo Vanna, Chiara Bellei, et al.. (2012). Neuromelanins of Human Brain Have Soluble and Insoluble Components with Dolichols Attached to the Melanic Structure. PLoS ONE. 7(11). e48490–e48490. 62 indexed citations

Zucca, Fabio A., et al.. (2009). Neuromelanins in various regions of human brain are associated with native and oxidized isoprenoid lipids. Archives of Biochemistry and Biophysics. 484(1). 94–99. 15 indexed citations

Bush, William D., Jacob Garguilo, Fabio A. Zucca, et al.. (2008). Neuromelanins Isolated from Different Regions of the Human Brain Exhibit a Common Surface Photoionization Threshold. Photochemistry and Photobiology. 85(1). 387–390. 8 indexed citations

Zecca, Luigi, Luigi Casella, Alberto Albertini, et al.. (2008). Neuromelanin can protect against iron‐mediated oxidative damage in system modeling iron overload of brain aging and Parkinson’s disease. Journal of Neurochemistry. 106(4). 1866–1875. 180 indexed citations

Zecca, Luigi, Chiara Bellei, Alberto Albertini, et al.. (2008). New melanic pigments in the human brain that accumulate in aging and block environmental toxic metals. Proceedings of the National Academy of Sciences. 105(45). 17567–17572. 182 indexed citations

10.

Zucca, Fabio A., Chiara Bellei, Serena Giannelli, et al.. (2006). Neuromelanin and iron in human locus coeruleus and substantia nigra during aging: consequences for neuronal vulnerability. Journal of Neural Transmission. 113(6). 757–767. 101 indexed citations

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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